20.14 Medical Applications -- Endoscopy

Hasegawa, J.[Jun], Oyama, N.[Nagaaki], Yamaguchi, M.[Masahiro], Nonami, T.[Tetsuo],
Endoscopic image processing device for estimating three-dimensional shape of object based on detection of same point on a plurality of different images,
US_Patent5,432,543, Jul 11, 1995
WWW Link. BibRef 9507

Shipp, J.I.,
Single lens stereoscopic video camera,
US_Patent5,471,237, 1995.
WWW Link. BibRef 9500

Lester, G.A., Watts, J., Wilmington, D.,
Single camera three-dimensional endoscope system using a ferroelectric liquid crystal device,
IEE-P(Meas: 145), No. 2, 1998, pp. 49-51.
DOI Link BibRef 9800

Helferty, J.P., Zhang, C.[Chao], McLennan, G., Higgins, W.E.,
Videoendoscopic distortion correction and its application to virtual guidance of endoscopy,
MedImg(20), No. 7, July 2001, pp. 605-617.
IEEE Top Reference. 0110
BibRef

Helferty, J.P., Higgins, W.E.,
Combined endoscopic video tracking and virtual 3d ct registration for surgical guidance,
ICIP02(II: 961-964).
IEEE DOI 0210
BibRef

Shahidi, R., Bax, M.R., Maurer, Jr., C.R., Johnson, J.A., Wilkinson, E.P., Wang, B.[Bai], West, J.B., Citardi, M.J., Manwaring, K.H., Khadem, R.,
Implementation, calibration and accuracy testing of an image-enhanced endoscopy system,
MedImg(21), No. 12, December 2002, pp. 1524-1535.
IEEE Top Reference. 0301
BibRef

Baert, S.A.M., Viergever, M.A., Niessen, W.J.,
Guide-wire tracking during endovascular interventions,
MedImg(22), No. 8, August 2003, pp. 965-972.
IEEE Abstract. 0308
BibRef

Summers, R.M.[Ronald M.], Franaszek, M.[Marek], Iordanescu, G.[Gheorghe],
Computer-aided classification of anomalies in anatomical structures,
US_Patent7,260,250, Aug 21, 2007
WWW Link. BibRef 0708

Vilariño, F.[Fernando], Kuncheva, L.I.[Ludmila I.], Radeva, P.I.[Petia I.],
ROC curves and video analysis optimization in intestinal capsule endoscopy,
PRL(27), No. 8, June 2006, pp. 875-881.
Elsevier DOI Classifiers ensemble; Imbalanced classes; Wireless capsule endoscopy 0605
BibRef

Coimbra, M.T., Silva Cunha, J.P.[João Paulo],
MPEG-7 Visual Descriptors: Contributions for Automated Feature Extraction in Capsule Endoscopy,
CirSysVideo(16), No. 5, May 2006, pp. 628-637.
IEEE DOI 0605
BibRef

Silva Cunha, J.P.[João Paulo], Coimbra, M.T., Campos, P., Soares, J.M.,
Automated Topographic Segmentation and Transit Time Estimation in Endoscopic Capsule Exams,
MedImg(27), No. 1, January 2008, pp. 19-27.
IEEE DOI 0712
BibRef

Koppel, D.[Dan], Wang, Y.F.[Yuan-Fang], Lee, H.[Hua],
Image-based view rendering in endoscopy,
IJIST(14), No. 5, 2004, pp. 181-185.
DOI Link 0412
BibRef
Earlier:
Viewing enhancement in video-endoscopy,
WACV02(304-308).
IEEE DOI 0303
BibRef

Koppel, D.[Dan], Chandrasekaran, S.[Shiv], Wang, Y.F.[Yuan-Fang],
A new framework for behavior modeling of organs and soft tissue using the Boundary-Element Methods,
NORDIA08(1-6).
IEEE DOI 0806
BibRef

Wang, Z.G.[Zhen-Guo], Lee, C.S.D.[Christopher S. D.], Waltzer, W.C.[Wayne C.], Yuan, Z.J.[Zhi-Jia], Pan, Y.T.[Ying-Tian],
Interpixel-shifted Endoscopic Optical Coherence Tomography For In Vivo Bladder Cancer Diagnosis,
IJIG(7), No. 1, January 2007, pp. 105-117. 0701
BibRef

Mackiewicz, M., Berens, J., Fisher, M.,
Wireless Capsule Endoscopy Color Video Segmentation,
MedImg(27), No. 12, December 2008, pp. 1769-1781.
IEEE DOI 0812
BibRef

Li, B.P.[Bao-Pu], Meng, M.Q.H.[Max Q.H.],
Texture analysis for ulcer detection in capsule endoscopy images,
IVC(27), No. 9, 3 August 2009, pp. 1336-1342.
Elsevier DOI 0906
Capsule endoscopy image; Texture features; Curvelet transform; Local binary pattern; Neural network; Support vector machines BibRef

Vu, H.[Hai], Echigo, T.[Tomio], Sagawa, R.[Ryusuke], Yagi, K.[Keiko], Shiba, M.[Masatsugu], Higuchi, K.[Kazuhide], Arakawa, T.[Tetsuo], Yagi, Y.S.[Yasu-Shi],
Controlling the Display of Capsule Endoscopy Video for Diagnostic Assistance,
IEICE(E92-D), No. 3, March 2009, pp. 512-528.
WWW Link. 0907
BibRef
Earlier:
Adaptive Control of Video Display for Diagnostic Assistance by Analysis of Capsule Endoscopic Images,
ICPR06(III: 980-983).
IEEE DOI 0609
BibRef

Vu, H.[Hai], Yagi, Y.S.[Yasu-Shi], Echigo, T.[Tomio], Shiba, M.[Masatsugu], Higuchi, K.[Kazuhide], Arakawa, T.[Tetsuo], Yagi, K.[Keiko],
Color Analysis for Segmenting Digestive Organs in VCE,
ICPR10(2468-2471).
IEEE DOI 1008
BibRef

Vu, H.[Hai], Echigo, T.[Tomio], Sagawa, R.[Ryusuke], Yagi, K.[Keiko], Shiba, M.[Masatsugu], Higuchi, K.[Kazuhide], Arakawa, T.[Tetsuo], Yagi, Y.S.[Yasu-Shi],
Towards an Interpretation of Intestinal Motility Using Capsule Endoscopy Image Sequences,
PSIVT09(839-850).
Springer DOI 0901
BibRef

Wang, H.Z.[Han-Zi], Mirota, D.[Daniel], Hager, G.D.[Gregory D.],
A Generalized Kernel Consensus-Based Robust Estimator,
PAMI(32), No. 1, January 2010, pp. 178-184.
IEEE DOI 0912
Build on RANSAC, tolerate 50% outliers.
See also Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography. BibRef

Wang, H.Z.[Han-Zi], Mirota, D.[Daniel], Ishii, M.[Masaru], Hager, G.D.[Gregory D.],
Robust motion estimation and structure recovery from endoscopic image sequences with an Adaptive Scale Kernel Consensus estimator,
CVPR08(1-7).
IEEE DOI 0806
BibRef

Wu, C.Y.[Chen-Yu], Narasimhan, S.G.[Srinivasa G.], Jaramaz, B.[Branislav],
A Multi-Image Shape-from-Shading Framework for Near-Lighting Perspective Endoscopes,
IJCV(86), No. 2-3, January 2010, pp. xx-yy.
Springer DOI 1001
BibRef

Wu, C.Y.[Chen-Yu],
3D Reconstruction of Anatomical Structures from Endoscopic Images,
CMU-RI-TR-10-04, January, 2010. BibRef 1001 Ph.D.Thesis, Carnegie Mellon University, 2010.
WWW Link. 1102
BibRef

Vilarino, F., Spyridonos, P., DeIorio, F., Vitria, J., Azpiroz, F., Radeva, P.I.,
Intestinal Motility Assessment With Video Capsule Endoscopy: Automatic Annotation of Phasic Intestinal Contractions,
MedImg(29), No. 2, February 2010, pp. 246-259.
IEEE DOI 1002
BibRef

Figueiredo, I.N.[Isabel N.], Figueiredo, P.N.[Pedro N.], Stadler, G., Ghattas, O., Araujo, A.,
Variational Image Segmentation for Endoscopic Human Colonic Aberrant Crypt Foci,
MedImg(29), No. 4, April 2010, pp. 998-1011.
IEEE DOI 1003
BibRef

Figueiredo, I.N.[Isabel N.], Figueiredo, P.N.[Pedro N.], Almeida, N.[Nuno],
Image-Driven Parameter Estimation in Absorption-Diffusion Models of Chromoscopy,
SIIMS(4), No. 3, 2011, pp. 884-904.
WWW Link. 1110
BibRef

Figueiredo, I.N.[Isabel N.], Moreno, J.C.[Juan Carlos], Prasath, V.B.S.[V. B. Surya], Figueiredo, P.N.[Pedro N.],
A Segmentation Model and Application to Endoscopic Images,
ICIAR12(II: 164-171).
Springer DOI 1206
BibRef

Wang, X.W.[Xian-Wang], Zhang, Q.[Qing], Han, Q.[Qiong], Yang, R.G.[Rui-Gang], Carswell, M., Seales, B., Sutton, E.,
Endoscopic Video Texture Mapping on Pre-Built 3-D Anatomical Objects Without Camera Tracking,
MedImg(29), No. 6, June 2010, pp. 1213-1223.
IEEE DOI 1007
BibRef

Arnold, M.[Mirko], Ghosh, A.[Anarta], Ameling, S.[Stefan], Lacey, G.[Gerard],
Automatic Segmentation and Inpainting of Specular Highlights for Endoscopic Imaging,
JIVP(2010), No. 2010, pp. xx-yy.
DOI Link 1101
BibRef

Karargyris, A., Bourbakis, N.,
Three-Dimensional Reconstruction of the Digestive Wall in Capsule Endoscopy Videos Using Elastic Video Interpolation,
MedImg(30), No. 4, April 2011, pp. 957-971.
IEEE DOI 1104
BibRef

Bae, S.[Sam], and Korniski, R.[Ronald],
Toward a 3D endoscope for minimally invasive surgery,
SPIE(Newsroom), September 21, 2011
DOI Link 1109
Using a pair of complementary multiband bandpass filters allows a miniature lens system to obtain data for color 3D images in real time. BibRef

Khan, T.H., Wahid, K.A.,
Low Power and Low Complexity Compressor for Video Capsule Endoscopy,
CirSysVideo(21), No. 10, October 2011, pp. 1534-1546.
IEEE DOI 1110
BibRef

Atasoy, S., Mateus, D., Meining, A., Yang, G.Z., Navab, N.,
Endoscopic Video Manifolds for Targeted Optical Biopsy,
MedImg(31), No. 3, March 2012, pp. 637-653.
IEEE DOI 1203
BibRef

Andre, B., Vercauteren, T., Buchner, A.M., Wallace, M.B., Ayache, N.J.,
Learning Semantic and Visual Similarity for Endomicroscopy Video Retrieval,
MedImg(31), No. 6, June 2012, pp. 1276-1288.
IEEE DOI 1206
BibRef

Leitner, R.[Raimund], de Biasio, M.[Martin], Arnold, T.[Thomas], Dinh, C.V.[Cuong Viet], Loog, M.[Marco], Duin, R.P.W.[Robert P.W.],
Multi-spectral video endoscopy system for the detection of cancerous tissue,
PRL(34), No. 1, 1 January 2013, pp. 85-93.
Elsevier DOI 1211
Multi-spectral video; Multi-spectral image; Acousto-optical tunable filter; Endoscopy; Multivariate pattern recognition; Training data selection BibRef

Dinh, C.V.[Cuong V.], Loog, M.[Marco], Leitner, R.[Raimund], Rajadell, O.[Olga], Duin, R.P.W.[Robert P.W.],
Training data selection for cancer detection in multispectral endoscopy images,
ICPR12(161-164).
WWW Link. 1302
BibRef

Khan, T.H.[Tareq Hasan], Wahid, K.A.[Khan A.],
Subsample-based image compression for capsule endoscopy,
RealTimeIP(8), No. 1, March 2013, pp. 5-19.
WWW Link. 1303
BibRef

Khan, T.H.[Tareq Hasan], Wahid, K.A.[Khan A.],
White and narrow band image compressor based on a new color space for capsule endoscopy,
SP:IC(29), No. 3, 2014, pp. 345-360.
Elsevier DOI 1403
Capsule endoscopy BibRef

Oda, M.[Masahiro], Kitasaka, T.[Takayuki], Furukawa, K.[Kazuhiro], Watanabe, O.[Osamu], Ando, T.[Takafumi], Goto, H.[Hidemi], Mori, K.[Kensaku],
Automated Ulcer Detection Method from CT Images for Computer Aided Diagnosis of Crohn's Disease,
IEICE(E96-D), No. 4, April 2013, pp. 808-818.
WWW Link. 1304
BibRef

Wan, Y.[Yiwen], Duraisamy, P.[Prakash], Alam, M.S.[Mohammad S.], Buckles, B.[Bill],
Wireless Capsule Endoscopy Segmentation using Global-Constrained Hidden Markov Model and Image Registration,
IJCVSP(2), No. 1, 2013, pp. xx-yy.
WWW Link. 1305
BibRef

Puerto-Souza, G.A.[Gustavo A.], Mariottini, G.L.[Gian-Luca],
A Fast and Accurate Feature-Matching Algorithm for Minimally-Invasive Endoscopic Images,
MedImg(32), No. 7, 2013, pp. 1201-1214.
IEEE DOI 1307
affine transforms BibRef

Puerto-Souza, G.A.[Gustavo A.], Mariottini, G.L.[Gian-Luca],
Wide-Baseline Dense Feature Matching for Endoscopic Images,
PSIVT13(48-59).
Springer DOI 1402
BibRef

Zhang, W.D.[Wei-Dong], Liu, J.[Jiamin], Yao, J.H.[Jian-Hua], Louie, A., Nguyen, T.B., Wank, S., Nowinski, W.L., Summers, R.M.,
Mesenteric Vasculature-Guided Small Bowel Segmentation on 3-D CT,
MedImg(32), No. 11, 2013, pp. 2006-2021.
IEEE DOI 1312
Bayes methods BibRef

Mahapatra, D., Schuffler, P.J., Tielbeek, J.A.W., Makanyanga, J.C., Stoker, J., Taylor, S.A., Vos, F.M., Buhmann, J.M.,
Automatic Detection and Segmentation of Crohn's Disease Tissues From Abdominal MRI,
MedImg(32), No. 12, 2013, pp. 2332-2347.
IEEE DOI 1312
Anisotropic magnetoresistance BibRef

Grasa, O.G., Bernal, E., Casado, S., Gil, I., Montiel, J.M.M.,
Visual SLAM for Handheld Monocular Endoscope,
MedImg(33), No. 1, January 2014, pp. 135-146.
IEEE DOI 1402
SLAM (robots) BibRef

Luo, X., Mori, K.,
A Discriminative Structural Similarity Measure and its Application to Video-Volume Registration for Endoscope Three-Dimensional Motion Tracking,
MedImg(33), No. 6, June 2014, pp. 1248-1261.
IEEE DOI 1407
Cameras BibRef

Li, C.Y.[Chun-Yuan], Ben Hamza, A., Bouguila, N.[Nizar], Wang, X.H.[Xin-Hong], Ming, F.H.[Fan-Hua], Xiao, G.H.[Guo-Hua],
Online redundant image elimination and its application to wireless capsule endoscopy,
SIViP(8), No. 8, November 2014, pp. 1497-1506.
Springer DOI 1411
BibRef

Yoo, S.S.[Seung-Schik], Rama, S.[Suraj], Szewczyk, B.[Benjamin], Pui, J.W.Y.[Jason W.Y.], Lee, W.[Wonhye], Kim, L.[Laehyun],
Endoscopic capsule robots using reconfigurable modular assembly: A pilot study,
IJIST(24), No. 4, 2014, pp. 359-365.
DOI Link 1411
endoscope, capsule, robots, assembly, modular BibRef

Cong, Y.[Yang], Wang, S.[Shuai], Liu, J.[Ji], Cao, J.[Jun], Yang, Y.S.[Yun-Sheng], Luo, J.B.[Jie-Bo],
Deep sparse feature selection for computer aided endoscopy diagnosis,
PR(48), No. 3, 2015, pp. 907-917.
Elsevier DOI 1412
Deep sparse BibRef

Drioli, C.[Carlo], Foresti, G.L.[Gian Luca],
Accurate glottal model parametrization by integrating audio and high-speed endoscopic video data,
SIViP(9), No. 6, September 2015, pp. 1451-1459.
WWW Link. 1509
Speech analysis really. BibRef

Yuan, Y.X.[Yi-Xuan], Wang, J.[Jiaole], Li, B.[Baopu], Meng, M.Q.H.,
Saliency Based Ulcer Detection for Wireless Capsule Endoscopy Diagnosis,
MedImg(34), No. 10, October 2015, pp. 2046-2057.
IEEE DOI 1511
endoscopes BibRef

Wu, X., Chen, H., Gan, T., Chen, J., Ngo, C.W., Peng, Q.,
Automatic Hookworm Detection in Wireless Capsule Endoscopy Images,
MedImg(35), No. 7, July 2016, pp. 1741-1752.
IEEE DOI 1608
biomedical optical imaging BibRef

He, J.Y., Wu, X., Jiang, Y.G., Peng, Q., Jain, R.,
Hookworm Detection in Wireless Capsule Endoscopy Images With Deep Learning,
IP(27), No. 5, May 2018, pp. 2379-2392.
IEEE DOI 1804
biomedical optical imaging, biomedical telemetry, computer aided analysis, diseases, edge detection, endoscopes, wireless capsule endoscopy BibRef

Zhang, W.[Wei], Jin, Y.T.[Yi-Tao], Guo, X.[Xin], Su, J.H.[Jin-Hui], You, S.P.[Su-Ping],
Design of an autofocus capsule endoscope system and the corresponding 3D reconstruction algorithm,
JOSA-A(33), No. 10, October 2016, pp. 1970-1977.
DOI Link 1610
Three-dimensional image processing BibRef

Dunaeva, O.[Olga], Edelsbrunner, H.[Herbert], Lukyanov, A.[Anton], Machin, M.[Michael], Malkova, D.[Daria], Kuvaev, R.[Roman], Kashin, S.[Sergey],
The classification of endoscopy images with persistent homology,
PRL(83, Part 1), No. 1, 2016, pp. 13-22.
Elsevier DOI 1609
Endoscopy BibRef

Steiner, C.[Christina], Wiggenhagen, M.[Manfred], Heipke, C.[Christian],
Highspeed Stereo-Endoskopie für eng begrenzte Messvolumina,
PFG(2016), No. 4, 2016, pp. 181-190.
DOI Link 1703
BibRef

de Groen, P.C.,
History of the Endoscope [Scanning Our Past],
PIEEE(105), No. 10, October 2017, pp. 1987-1995.
IEEE DOI 1710
Biological systems, Biomedical equipment, Biomedical Endoscopes, History, Surgery BibRef

Luo, X., McLeod, A.J., Pautler, S.E., Schlachta, C.M., Peters, T.M.,
Vision-Based Surgical Field Defogging,
MedImg(36), No. 10, October 2017, pp. 2021-2030.
IEEE DOI 1710
Poisson equation, biomedical optical imaging, cancer, endoscopes, frequency-domain analysis, image enhancement, image reconstruction, medical BibRef

Shabani, A.[Ahmad], Timarchi, S.[Somayeh],
Low-power DCT-based compressor for wireless capsule endoscopy,
SP:IC(59), No. 1, 2017, pp. 83-95.
Elsevier DOI 1711
Lookahead, CORDIC BibRef

Turan, M.[Mehmet], Pilavci, Y.Y.[Yusuf Yigit], Ganiyusufoglu, I.[Ipek], Araujo, H.[Helder], Konukoglu, E.[Ender], Sitti, M.[Metin],
Sparse-then-dense alignment-based 3D map reconstruction method for endoscopic capsule robots,
MVA(29), No. 2, February 2018, pp. 345-359.
Springer DOI 1802
BibRef

Mahmood, F., Chen, R., Durr, N.J.,
Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training,
MedImg(37), No. 12, December 2018, pp. 2572-2581.
IEEE DOI 1812
Endoscopes, Training, Medical diagnostic imaging, Estimation, Data models, Convolutional neural networks, endoscopy BibRef

Sdiri, B., Kaaniche, M., Cheikh, F.A., Beghdadi, A., Elle, O.J.,
Efficient Enhancement of Stereo Endoscopic Images Based on Joint Wavelet Decomposition and Binocular Combination,
MedImg(38), No. 1, January 2019, pp. 33-45.
IEEE DOI 1901
Surgery, Wavelet transforms, Image enhancement, Visualization, Wavelet domain, Biomedical imaging, binocular vision BibRef

Mahmoud, N., Collins, T., Hostettler, A., Soler, L., Doignon, C., Montiel, J.M.M.,
Live Tracking and Dense Reconstruction for Handheld Monocular Endoscopy,
MedImg(38), No. 1, January 2019, pp. 79-89.
IEEE DOI 1901
Image reconstruction, Simultaneous localization and mapping, Endoscopes, Surgery, Cameras, Lighting, SLAM BibRef

Bchir, O.[Ouiem], Ben Ismail, M.M.[Mohamed Maher], Al Zahrani, N.[Nada],
Multiple bleeding detection in wireless capsule endoscopy,
SIViP(13), No. 1, February 2019, pp. 121-126.
WWW Link. 1901
BibRef

Alotaibi, S.[Sarah], Qasim, S.[Sahar], Bchir, O.[Ouiem],
Empirical Comparison of Visual Descriptors for Multiple Bleeding Spots Recognition in Wireless Capsule Endoscopy Video,
CAIP13(II:402-407).
Springer DOI 1311
BibRef

Gu, Y., Vyas, K., Yang, J., Yang, G.,
Transfer Recurrent Feature Learning for Endomicroscopy Image Recognition,
MedImg(38), No. 3, March 2019, pp. 791-801.
IEEE DOI 1903
Videos, Imaging, Feature extraction, Image segmentation, Task analysis, Recurrent neural networks, Visualization, recurrent neural networks BibRef

Gataric, M., Gordon, G.S.D., Renna, F., Ramos, A.G.C.P., Alcolea, M.P., Bohndiek, S.E.,
Reconstruction of Optical Vector-Fields With Applications in Endoscopic Imaging,
MedImg(38), No. 4, April 2019, pp. 955-967.
IEEE DOI 1904
Calibration, Optical imaging, Optical polarization, Optical variables measurement, Optical scattering, endoscope BibRef

Than, T.D., Alici, G., Zhou, H., Harvey, S., Li, W.,
Enhanced Localization of Robotic Capsule Endoscopes Using Positron Emission Markers and Rigid-Body Transformation,
SMCS(49), No. 6, June 2019, pp. 1270-1284.
IEEE DOI 1906
Magnetic resonance imaging, Positrons, Gamma-rays, Robots, Optical wavelength conversion, Magnetoacoustic effects, wireless capsule endoscopes (WCEs) BibRef

Charfi, S.[Said], El Ansari, M.[Mohamed], Balasingham, I.[Ilangko],
Computer-aided diagnosis system for ulcer detection in wireless capsule endoscopy images,
IET-IPR(13), No. 6, 10 May 2019, pp. 1023-1030.
DOI Link 1906
BibRef

Al-Shebani, Q.[Qasim], Premaratne, P.[Prashan], Vial, P.J.[Peter James], McAndrew, D.J.[Darryl J.],
The development of a clinically tested visually lossless Image compression system for capsule endoscopy,
SP:IC(76), 2019, pp. 135-150.
Elsevier DOI 1906
Medical image compression, Capsule endoscopy, Bayer structure conversion, Clinician's assessment BibRef

Turcza, P.[Pawel], Duplaga, M.[Mariusz],
Energy-efficient image compression algorithm for high-frame rate multi-view wireless capsule endoscopy,
RealTimeIP(16), No. 5, October 2019, pp. 1425-1437.
WWW Link. 1911
BibRef

Luo, X., Zeng, H., Wan, Y., Zhang, X., Du, Y., Peters, T.M.,
Endoscopic Vision Augmentation Using Multiscale Bilateral-Weighted Retinex for Robotic Surgery,
MedImg(38), No. 12, December 2019, pp. 2863-2874.
IEEE DOI 1912
Lighting, Image color analysis, Surgery, Robots, Image restoration, Laparoscopes, Endoscopes, Endoscopy, endoscopic vision, retinex, computer-assisted interventions BibRef

Gorevoy, A.V.[Alexey V.], Machikhin, A.S.[Alexander S.], Khokhlov, D.D.[Demid D.], Batshev, V.I.[Vladislav I.],
Modeling and optimization of a geometrical calibration procedure for stereoscopic video endoscopes,
JOSA-A(36), No. 11, November 2019, pp. 1871-1882.
DOI Link 1912
Camera calibration, Digital image processing, Image processing algorithms, Image quality, Three dimensional image processing BibRef

Biniaz, A.[Abbas], Abdolali, F.[Fatemeh], Zoroofi, R.A.[Reza Aghaeizadeh],
Integrated system for automatic detection of representative video frames in wireless capsule endoscopy using adaptive sliding window singular value decomposition,
IET-IPR(14), No. 1, January 2020, pp. 147-153.
DOI Link 1912
BibRef

Li, R., Pan, J., Si, Y., Yan, B., Hu, Y., Qin, H.,
Specular Reflections Removal for Endoscopic Image Sequences With Adaptive-RPCA Decomposition,
MedImg(39), No. 2, February 2020, pp. 328-340.
IEEE DOI 2002
Image color analysis, Image sequences, Feature extraction, Navigation, Minimally invasive surgery, Matrix decomposition, robust principal component analysis BibRef

Chen, L., Tang, W., John, N.W., Wan, T.R., Zhang, J.J.,
De-smokeGCN: Generative Cooperative Networks for Joint Surgical Smoke Detection and Removal,
MedImg(39), No. 5, May 2020, pp. 1615-1625.
IEEE DOI 2005
Endoscopy, image enhancement, machine learning, de-smoking BibRef

Liu, X., Sinha, A., Ishii, M., Hager, G.D., Reiter, A., Taylor, R.H., Unberath, M.,
Dense Depth Estimation in Monocular Endoscopy With Self-Supervised Learning Methods,
MedImg(39), No. 5, May 2020, pp. 1438-1447.
IEEE DOI 2005
Estimation, Endoscopes, Cameras, Videos, Training, Image reconstruction, Endoscopy, depth estimation BibRef

Mohammed, A.[Ahmed], Farup, I.[Ivar], Pedersen, M.[Marius], Yildirim, S.[Sule], Hovde, Ø.[Øistein],
PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data,
CVIU(201), 2020, pp. 103062.
Elsevier DOI 2011
Capsule endoscopy, Residual LSTM, Attention, Self-supervision, Multiple instance learning, Adaptive pooling BibRef

Jin, H., Zheng, Z., Liu, S., Zheng, Y.,
Evaluation of Reconstruction Methodology for Helical Scan Guided Photoacoustic Endoscopy,
MedImg(39), No. 12, December 2020, pp. 4198-4208.
IEEE DOI 2012
Image reconstruction, Imaging, Extrapolation, Image resolution, Transducers, Endoscopes, Acoustics, inverse problem BibRef

Almalioglu, Y., Bengisu Ozyoruk, K., Gokce, A., Incetan, K., Irem Gokceler, G., Ali Simsek, M., Ararat, K., Chen, R.J., Durr, N.J., Mahmood, F., Turan, M.,
EndoL2H: Deep Super-Resolution for Capsule Endoscopy,
MedImg(39), No. 12, December 2020, pp. 4297-4309.
IEEE DOI 2012
Spatial resolution, Endoscopes, Generators, Degradation, Cameras, Generative adversarial networks, Capsule endoscopy, spatial attention network BibRef

Xing, X., Yuan, Y., Meng, M.Q.H.,
Zoom in Lesions for Better Diagnosis: Attention Guided Deformation Network for WCE Image Classification,
MedImg(39), No. 12, December 2020, pp. 4047-4059.
IEEE DOI 2012
Lesions, Feature extraction, Strain, Diseases, Image analysis, Image recognition, Task analysis, Wireless capsule endoscopy, attention consistency BibRef

Liang, W., Park, H.C., Li, K., Li, A., Chen, D., Guan, H., Yue, Y., Gau, Y.T.A., Bergles, D.E., Li, M.J., Lu, H., Li, X.,
Throughput-Speed Product Augmentation for Scanning Fiber-Optic Two-Photon Endomicroscopy,
MedImg(39), No. 12, December 2020, pp. 3779-3787.
IEEE DOI 2012
Structural beams, Focusing, Optical fibers, Lenses, Image resolution, Biomedical optical imaging, biophotonics, two-photon microscopy BibRef

Hoang, M.C., Nguyen, K.T., Le, V.H., Kim, J., Choi, E., Kang, B., Park, J.O., Kim, C.S.,
Independent Electromagnetic Field Control for Practical Approach to Actively Locomotive Wireless Capsule Endoscope,
SMCS(51), No. 5, May 2021, pp. 3040-3052.
IEEE DOI 2104
Magnetic resonance imaging, Endoscopes, Magnetic separation, Biological systems, Aerospace electronics, medical microrobotics BibRef

Zhu, M.[Meilu], Chen, Z.[Zhen], Yuan, Y.X.[Yi-Xuan],
DSI-Net: Deep Synergistic Interaction Network for Joint Classification and Segmentation With Endoscope Images,
MedImg(40), No. 12, December 2021, pp. 3315-3325.
IEEE DOI 2112
Image segmentation, Task analysis, Lesions, Prototypes, Feature extraction, Predictive models, Medical services, lesion location mining BibRef

Eroglu, O.[Orkun], Yildirim, M.[Muhammed],
Automatic detection of eardrum otoendoscopic images in patients with otitis media using hybrid-based deep models,
IJIST(32), No. 3, 2022, pp. 717-727.
DOI Link 2205
deep learning, eardrum, neighborhood component analysis, otitis media with effusion, otoendoscopic images, tympanostomy tube BibRef

Bonmati, E.[Ester], Hu, Y.P.[Yi-Peng], Grimwood, A.[Alexander], Johnson, G.J.[Gavin J.], Goodchild, G.[George], Keane, M.G.[Margaret G.], Gurusamy, K.[Kurinchi], Davidson, B.[Brian], Clarkson, M.J.[Matthew J.], Pereira, S.P.[Stephen P.], Barratt, D.C.[Dean C.],
Voice-Assisted Image Labeling for Endoscopic Ultrasound Classification Using Neural Networks,
MedImg(41), No. 6, June 2022, pp. 1311-1319.
IEEE DOI 2206
Ultrasonic imaging, Training, Labeling, Standards, Real-time systems, Task analysis, Deep learning, Automatic labeling, classification, voice BibRef

Turcza, P.[Pawel],
Entropy encoder for low-power low-resources high-quality CFA image compression,
SP:IC(106), 2022, pp. 116716.
Elsevier DOI 2206
Color filter array. Entropy coding, Wireless capsule endoscopy, Wireless camera sensor network, Image compression, Very-large-scale integration (VLSI) BibRef

Sushma, B., Aparna, P.,
Deep chroma prediction of Wyner-Ziv frames in distributed video coding of wireless capsule endoscopy video,
JVCIR(87), 2022, pp. 103578.
Elsevier DOI 2208
Distributed video coding, Chroma prediction, Convolutional neural networks, Video compression, Wireless capsule endoscopy BibRef

Yang, B.[Bo], Xu, S.Y.[Si-Yuan], Chen, H.[Hongrong], Zheng, W.F.[Wen-Feng], Liu, C.[Chao],
Reconstruct Dynamic Soft-Tissue With Stereo Endoscope Based on a Single-Layer Network,
IP(31), 2022, pp. 5828-5840.
IEEE DOI 2209
Image reconstruction, Deformable models, Biological tissues, Surgery, Feature extraction, Surface reconstruction, surgical robot BibRef

Lin, J.[Jie], Pan, Y.L.[Yu-Long], Dang, Y.[Yuan], Bao, Y.[Yige], Zhuo, H.[Hui],
Blood-contaminated endoscopic image restoration based on residual VQ-VAE with cascaded structure,
IET-IPR(16), No. 13, 2022, pp. 3669-3683.
DOI Link 2210
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Gu, Y.[Yun], Xu, Y.Z.[Yun-Ze], Huang, X.L.[Xiao-Lin], Yang, J.[Jie], Xue, W.[Wei], Yang, G.Z.[Guang-Zhong],
Toward Robust Histology-Prior Embedding for Endomicroscopy Image Classification,
MedImg(41), No. 11, November 2022, pp. 3242-3252.
IEEE DOI 2211
Histopathology, Endomicroscopy, Feature extraction, Cancer, Medical diagnostic imaging, Imaging, Training, representation learning BibRef

Xi, N.[Nan], Meng, J.J.[Jing-Jing], Yuan, J.S.[Jun-Song],
Forest Graph Convolutional Network for Surgical Action Triplet Recognition in Endoscopic Videos,
CirSysVideo(32), No. 12, December 2022, pp. 8550-8561.
IEEE DOI 2212
Videos, Surgery, Forestry, Instruments, Visualization, Task analysis, Classification tree analysis, Classification forest, endoscopic videos BibRef

Liang, S.Q.[Si-Qi], Zhou, J.[Jiasheng], Guo, Z.D.[Zhen-Dong], He, D.[Da], Yang, W.Z.[Wen-Zhao], Ye, Z.[Zhanhong], Shao, W.H.[Wei-Hao], Jing, L.[Lili], Chen, S.L.[Sung-Liang],
Miniature Probe for Optomechanical Focus-Adjustable Optical-Resolution Photoacoustic Endoscopy,
MedImg(42), No. 8, August 2023, pp. 2400-2413.
IEEE DOI 2308
Probes, Imaging, Lenses, Laser beams, Electron tubes, Optical imaging, Biomedical optical imaging, Depth of focus, endoscopy, photoacoustic BibRef

Padmavathi, P., Harikiran, J.,
Wireless Capsule Endoscopy Infected Images Detection and Classification Using MobileNetV2-BiLSTM Model,
IJIG(23), No. 5 2023, pp. 2350041.
DOI Link 2310
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Wang, W.[Wei], Yang, X.[Xin], Tang, J.H.[Jin-Hui],
Vision Transformer With Hybrid Shifted Windows for Gastrointestinal Endoscopy Image Classification,
CirSysVideo(33), No. 9, September 2023, pp. 4452-4461.
IEEE DOI 2310
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Shi, H.K.[Hong-Kuan], Wang, Z.W.[Zhi-Wei], Zhou, Y.[Ying], Li, D.[Dun], Yang, X.[Xin], Li, Q.[Qiang],
Bidirectional Semi-Supervised Dual-Branch CNN for Robust 3D Reconstruction of Stereo Endoscopic Images via Adaptive Cross and Parallel Supervisions,
MedImg(42), No. 11, November 2023, pp. 3269-3282.
IEEE DOI 2311
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Martinez-Garcia-Peña, R.[Rafael], Teevno, M.A.[Mansoor Ali], Ochoa-Ruiz, G.[Gilberto], Ali, S.[Sharib],
SUPRA: Superpixel Guided Loss for Improved Multi-modal Segmentation in Endoscopy,
LXCV23(285-294)
IEEE DOI 2309
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Pascual, G.[Guillem], Vitrià, J.[Jordi], Seguí, S.[Santi],
Time-coherent embeddings for Wireless Capsule Endoscopy,
ICPR22(4248-4255)
IEEE DOI 2212
Wireless communication, Pathology, Endoscopes, Self-supervised learning, Medical services, Data models, Pattern recognition BibRef

Lad, A.[Abhi], Jani, S.[Swara], Madhani, H.[Hiral], Soumya, S.[Soumya], Solanki, Y.[Yash],
Perceptual Variation Stacking: Test Time Augmentations in Endoscopy Image Segmentation,
IVCNZ21(1-6)
IEEE DOI 2201
Image segmentation, Pathology, Histograms, Endoscopes, Image color analysis, Computational modeling, Pipelines, data augmentation BibRef

Maleki, F.[Farhad], Cote, K.[Kevin], Najafian, K.[Keyhan], Ovens, K.[Katie], Miao, Y.[Yan], Zakarian, R.[Rita], Reinhold, C.[Caroline], Forghani, R.[Reza], Savadjiev, P.[Peter], Gao, Z.H.[Zu-Hua],
A Deep Learning-Based Pipeline for Celiac Disease Diagnosis Using Histopathological Images,
CAIP21(I:206-214).
Springer DOI 2112
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Hicks, S.A.[Steven A.], Jha, D.[Debesh], Thambawita, V.[Vajira], Halvorsen, P.[Pål], Hammer, H.L.[Hugo L.], Riegler, M.A.[Michael A.],
The Endotect 2020 Challenge: Evaluation and Comparison of Classification, Segmentation and Inference Time for Endoscopy,
EndoTect20(263-274).
Springer DOI 2103
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Luo, Z.P.[Zhi-Peng], Che, L.X.[Li-Xuan], He, J.Y.[Jian-Ye],
Delving into High Quality Endoscopic Diagnoses,
EndoTect20(283-290).
Springer DOI 2103
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Khan, Z.[Zeshan], Alvi, M.U.T.[Muhammad Usman Tariq], Tahir, M.A.[Muhammad Atif], Memon, S.[Shahbaz],
Medical Diagnostic by Data Bagging for Various Instances of Neural Network,
EndoTect20(291-298).
Springer DOI 2103
BibRef

Liu, X., Zheng, Y., Killeen, B., Ishii, M., Hager, G.D., Taylor, R.H., Unberath, M.,
Extremely Dense Point Correspondences Using a Learned Feature Descriptor,
CVPR20(4846-4855)
IEEE DOI 2008
Endoscopes, Simultaneous localization and mapping, Feature extraction, Task analysis BibRef

Dong, J., Cong, Y., Sun, G., Zhong, B., Xu, X.,
What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation,
CVPR20(4022-4031)
IEEE DOI 2008
Semantics, Lesions, Visualization, Adaptation models, Analytical models, Medical diagnostic imaging BibRef

Laiz, P., Vitrià, J., Seguí, S.,
Using the Triplet Loss for Domain Adaptation in WCE,
VRMI19(399-405)
IEEE DOI 2004
Measurement, Training, Databases, Neural networks, Endoscopes, Cameras, Solid modeling, deep learning, deep metric learning, triplet loss, medical imaging BibRef

Khvostikov, A., Krylov, A., Mikhailov, I., Kharlova, O., Oleynikova, N., Malkov, P.,
Automatic Mucous Glands Segmentation in Histological Images,
PTVSBB19(103-109).
DOI Link 1912
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Yoon, J.H., Park, M., Hwang, Y., Yoon, K.,
Learning Depth from Endoscopic Images,
3DV19(126-134)
IEEE DOI 1806
Attenuation, Dams, Decoding, Wireless communication, Cameras, Training, stereo vision, wireless endoscopic capsule BibRef

Furukawa, R., Nagamatsu, G., Kawasaki, H.,
Simultaneous Shape Registration and Active Stereo Shape Reconstruction using Modified Bundle Adjustment,
3DV19(453-462)
IEEE DOI 1806
Shape, Cameras, Bundle adjustment, Endoscopes, Feature extraction, Image reconstruction, bundle adjustment, ICP, shape registration, active stereo BibRef

Xiao, L., Yu, J., Ou, J., Liu, Z.,
Fine-Grained Classification of Endoscopic Tympanic Membrane Images,
ICIP19(230-234)
IEEE DOI 1910
Image classification, fine-grained visual classification (FGVC), saliency map BibRef

van der Putten, J., de Groof, J., van der Sommen, F., Struyvenberg, M., Zinger, S., Curvers, W., Schoon, E., Bergman, J., de With, P.H.N.,
Informative Frame Classification of Endoscopic Videos Using Convolutional Neural Networks and Hidden Markov Models,
ICIP19(380-384)
IEEE DOI 1910
Informative frame classification, Deep learning, Hidden Markov Models, Endoscopy BibRef

Itoh, H.[Hayato], Mori, Y.[Yuichi], Misawa, M.[Masashi], Oda, M.[Masahiro], Kudo, S.E.[Shin-Ei], Mori, K.[Kensaku],
Discriminative Feature Selection by Optimal Manifold Search for Neoplastic Image Recognition,
CEFR-LCV18(IV:534-549).
Springer DOI 1905
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Münzer, B.[Bernd], Leibetseder, A.[Andreas], Kletz, S.[Sabrina], Schoeffmann, K.[Klaus],
ECAT: Endoscopic Concept Annotation Tool,
MMMod19(II:571-576).
Springer DOI 1901
BibRef

Qiu, L., Ren, H.,
Endoscope Navigation and 3D Reconstruction of Oral Cavity by Visual SLAM with Mitigated Data Scarcity,
Scarce18(2278-22787)
IEEE DOI 1812
Endoscopes, Surgery, Simultaneous localization and mapping, Feature extraction, Cavity resonators, Visualization BibRef

Ghosh, T., Li, L., Chakareski, J.,
Effective Deep Learning for Semantic Segmentation Based Bleeding Zone Detection in Capsule Endoscopy Images,
ICIP18(3034-3038)
IEEE DOI 1809
Hemorrhaging, Image segmentation, Decoding, Training, Machine learning, Semantics, Endoscopes, bleeding detection, convolutional neural network BibRef

Coelho, P.[Paulo], Pereira, A.[Ana], Leite, A.[Argentina], Salgado, M.[Marta], Cunha, A.[António],
A Deep Learning Approach for Red Lesions Detection in Video Capsule Endoscopies,
ICIAR18(553-561).
Springer DOI 1807
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Conen, N., Luhmann, T.,
Overview of Photogrammetric Measurement Techniques in Minimally Invasive Surgery Using Endoscopes,
PTVSBB17(33-40).
DOI Link 1805
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Peng, L., Liu, S., Xie, D., Zhu, S., Zeng, B.,
Endoscopic video deblurring via synthesis,
VCIP17(1-4)
IEEE DOI 1804
endoscopes, feature extraction, image colour analysis, image matching, image resolution, image restoration, patch match BibRef

Rodríguez-Sánchez, A., Chea, D., Azzopardi, G., Stabinger, S.,
A deep learning approach for detecting and correcting highlights in endoscopic images,
IPTA17(1-6)
IEEE DOI 1804
convolution, endoscopes, feedforward neural nets, learning (artificial intelligence), medical image processing, Typesetting BibRef

Luo, X., Wan, Y., He, X.,
A comparison of modified evolutionary computation algorithms with applications to three-dimensional endoscopic camera motion tracking,
ICIP17(3840-3843)
IEEE DOI 1803
biomedical optical imaging, endoscopes, evolutionary computation, image sequences, medical image processing, motion compensation, particle swarm optimization BibRef

Bourdon, P., Helbert, D.,
A data-driven approach to feature space selection for robust micro-endoscopic image reconstruction,
ICIP17(2239-2243)
IEEE DOI 1803
biomedical optical imaging, endoscopes, feature extraction, feature selection, image matching, image reconstruction, optical flow BibRef

Koh, J.X.[Jia Xin], Ren, H.L.[Hong-Liang],
Open-Source Development of a Low-Cost Stereo-Endoscopy System for Natural Orifice Transluminal Endoscopic Surgery,
CVS17(357-370).
Springer DOI 1711
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Furukawa, R.[Ryo], Naito, M.[Masahito], Miyazaki, D.[Daisuke], Baba, M.[Masahi], Hiura, S.[Shinsaku], Sanomura, Y.[Yoji], Tanaka, S.[Shinji], Kawasaki, H.[Hiroshi],
Auto-calibration Method for Active 3D Endoscope System Using Silhouette of Pattern Projector,
PSIVT17(222-236).
Springer DOI 1802
BibRef
Earlier:
3D Endoscope System Using Asynchronously Blinking Grid Pattern Projection for HDR Image Synthesis,
CARE17(16-28).
Springer DOI 1711
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Chen, J., Zou, Y., Wang, Y.,
Wireless capsule endoscopy video summarization: A learning approach based on Siamese neural network and support vector machine,
ICPR16(1303-1308)
IEEE DOI 1705
Convolution, Euclidean distance, Feature extraction, Neural networks, Semantics, Support vector machines, Training, Siamese neural network, Wireless capsule endoscopy, linear SVM classifier, similarity judgment, video, summarization BibRef

Bonmati, E.[Ester], Hu, Y.P.[Yi-Peng], Gurusamy, K.[Kurinchi], Davidson, B.[Brian], Pereira, S.P.[Stephen P.], Clarkson, M.J.[Matthew J.], Barratt, D.C.[Dean C.],
Assessment of Electromagnetic Tracking Accuracy for Endoscopic Ultrasound,
CARE16(36-47).
Springer DOI 1703
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Vasilakakis, M.[Michael], Iakovidis, D.K.[Dimitrios K.], Spyrou, E.[Evaggelos], Koulaouzidis, A.[Anastasios],
Weakly-Supervised Lesion Detection in Video Capsule Endoscopy Based on a Bag-of-Colour Features Model,
CARE16(96-103).
Springer DOI 1703
BibRef

Seguí, S.[Santi], Drozdzal, M.[Michal], Pascual, G.[Guillem], Radeva, P.[Petia], Malagelada, C.[Carolina], Azpiroz, F.[Fernando], Vitrià, J.[Jordi],
Deep Learning Features for Wireless Capsule Endoscopy Analysis,
CIARP16(326-333).
Springer DOI 1703
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Mahmoud, N.[Nader], Cirauqui, I.[Iñigo], Hostettler, A.[Alexandre], Doignon, C.[Christophe], Soler, L.[Luc], Marescaux, J.[Jacques], Montiel, J.M.M.,
ORBSLAM-Based Endoscope Tracking and 3D Reconstruction,
CARE16(72-83).
Springer DOI 1703
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Wimmer, G., Hegenbart, S., Vecsei, A., Uhl, A.,
Convolutional Neural Network Architectures for the Automated Diagnosis of Celiac Disease,
CARE16(104-113).
Springer DOI 1703
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Gu, Y., Yang, J., Yang, G.Z.,
Multi-view Multi-modal Feature Embedding for Endomicroscopy Mosaic Classification,
Microscopy16(1315-1323)
IEEE DOI 1612
BibRef

Furukawa, R.[Ryo], Morinaga, H.[Hiroki], Sanomura, Y.[Yoji], Tanaka, S.[Shinji], Yoshida, S.[Shigeto], Kawasaki, H.[Hiroshi],
Shape Acquisition and Registration for 3D Endoscope Based on Grid Pattern Projection,
ECCV16(VI: 399-415).
Springer DOI 1611
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Joshi, I.[Indu], Kumar, S.I.[Sun-Il], Figueiredo, I.N.[Isabel N.],
Bag of Visual Words Approach for Bleeding Detection in Wireless Capsule Endoscopy Images,
ICIAR16(575-582).
Springer DOI 1608
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Kibsgaard, M.[Martin], Kraus, M.[Martin],
Pointing with a One-Eyed Cursor for Supervised Training in Minimally Invasive Robotic Surgery,
CARE15(12-21).
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Wesierski, D.[Daniel], Wojdyga, G.[Grzegorz], Jezierska, A.[Anna],
Instrument Tracking with Rigid Part Mixtures Model,
CARE15(22-34).
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McLeod, A.J.[A. Jonathan], Baxter, J.S.H.[John S. H.], Jayarathne, U.[Uditha], Pautler, S.[Stephen], Peters, T.M.[Terry M.], Luo, X.B.[Xiong-Biao],
Stereoscopic Motion Magnification in Minimally-Invasive Robotic Prostatectomy,
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Visentini-Scarzanella, M.[Marco], Hanayama, T.[Tatsuya], Masutani, R.[Ryunosuke], Yoshida, S.[Shigeto], Kominami, Y.[Yoko], Sanomura, Y.[Yoji], Tanaka, S.[Shinji], Furukawa, R.[Ryo], Kawasaki, H.[Hiroshi],
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Yang, T.[Tao], Huang, W.M.[Wei-Min], Toe, K.K.[Kyaw Kyar], Zhou, J.[Jiayin], Duan, Y.P.[Yu-Ping], Chi, Y.L.[Yan-Ling], Loh, L.E.[Loong Ee],
Surgical Simulation Robot with Haptics and Friction Compensation,
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2D/3D Real-Time Tracking of Surgical Instruments Based on Endoscopic Image Processing,
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Moradi, M., Falahati, A., Shahbahrami, A., Zare-Hassanpour, R.,
Improving visual quality in wireless capsule endoscopy images with contrast-limited adaptive histogram equalization,
IPRIA15(1-5)
IEEE DOI 1603
biological organs BibRef

Horacek, J., Horak, M., Kolomaznik, J., Pelikan, J.,
An Automatic Algorithm for Tracking Small Intestine in CT Enterography,
DICTA15(1-8)
IEEE DOI 1603
computerised tomography BibRef

Wang, S.[Shuai], Cong, Y.[Yang], Fan, H.J.[Hui-Jie], Yang, Y.S.[Yun-Sheng], Tang, Y.D.[Yan-Dong], Zhao, H.[Huaici],
Computer aided endoscope diagnosis via weakly labeled data mining,
ICIP15(3072-3076)
IEEE DOI 1512
Computer aided diagnosis (CAD) BibRef

Chwyl, B.[Brendan], Chung, A.G.[Audrey G.], Wong, A.[Alexander], Clausi, D.A.[David A.],
Specular Reflectance Suppression in Endoscopic Imagery via Stochastic Bayesian Estimation,
ICIAR15(385-393).
Springer DOI 1507
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Iakovidis, D.K.[Dimitris K.], Koulaouzidis, A.[Anastasios],
Automatic lesion detection in wireless capsule endoscopy: A simple solution for a complex problem,
ICIP14(2236-2240)
IEEE DOI 1502
Endoscopes BibRef

Drozdzal, M., Vitria, J., Segui, S., Malagelada, C., Azpiroz, F., Radeva, P.,
Intestinal event segmentation for endoluminal video analysis,
ICIP14(3592-3596)
IEEE DOI 1502
Endoscopes BibRef

Lokoc, J.[Jakub], Schoeffmann, K.[Klaus], del Fabro, M.[Manfred],
Dynamic Hierarchical Visualization of Keyframes in Endoscopic Video,
MMMod15(II: 291-294).
Springer DOI 1501
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Vu, H.[Hai], Yanagawa, Y.[Yukiko], Echigo, T.[Tomio], Shiba, M.[Masatsugu], Okazaki, H.[Hirotoshi], Fujiwara, Y.[Yasuhiro], Arakawa, T.[Tetsuo], Yagi, Y.S.[Yasu-Shi],
A Web-Based Education System for Reading Video Capsule Endoscopy,
ICPR14(2721-2726)
IEEE DOI 1412
Accuracy BibRef

Luo, X.B.[Xiong-Biao], Wan, Y.[Ying], He, X.J.[Xiang-Jian], Yang, J.[Jie], Mori, K.[Kensaku],
Diversity-Enhanced Condensation Algorithm and Its Application for Robust and Accurate Endoscope Three-Dimensional Motion Tracking,
CVPR14(1250-1257)
IEEE DOI 1409
Diversity-Enhanced Condensation Algorithm BibRef

Selka, F., Agnus, V., Nicolau, S., Bessaid, A., Soler, L., Marescaux, J., Diana, M.,
Fluorescence-Based Enhanced Reality for Colorectal Endoscopic Surgery,
WBIR14(114-123).
Springer DOI 1407
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Gadermayr, M.[Michael], Uhl, A.[Andreas],
Degradation adaptive texture classification,
ICIP14(2759-2763)
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Accuracy BibRef

Wimmer, G.[Georg], Vécsei, A.[Andreas], Uhl, A.[Andreas],
CNN transfer learning for the automated diagnosis of celiac disease,
IPTA16(1-6)
IEEE DOI 1703
biomedical optical imaging BibRef

Gadermayr, M., Kogler, H., Karla, M., Vécsei, A.[Andreas], Uhl, A.[Andreas], Merhof, D.,
Incorporating human knowledge in automated celiac disease diagnosis,
IPTA16(1-6)
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biological tissues BibRef

Gadermayr, M.[Michael], Wimmer, G.[Georg], Uhl, A.[Andreas], Kogler, H.[Hubert], Vécsei, A.[Andreas], Merhof, D.[Dorit],
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Gadermayr, M.[Michael], Uhl, A.[Andreas], Vécsei, A.[Andreas],
Getting one step closer to fully automatized celiac disease diagnosis,
IPTA14(1-5)
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Quality Based Information Fusion in Fully Automatized Celiac Disease Diagnosis,
GCPR14(666-677).
Springer DOI 1411
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ICIAR14(II: 263-273).
Springer DOI 1410
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Is a Precise Distortion Estimation Needed for Computer Aided Celiac Disease Diagnosis?,
ICISP14(620-628).
Springer DOI 1406
diseases BibRef

Gadermayr, M.[Michael], Uhl, A.[Andreas], Vécsei, A.[Andreas],
Boosting Small-Data Performance of LBP: A Case Study in Celiac Disease Diagnosis,
SCIA15(224-233).
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Gadermayr, M.[Michael], Liedlgruber, M.[Michael], Uhl, A.[Andreas], Vécsei, A.[Andreas],
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Wu, J.C.H., Lin, G.S.[Guo-Shiang], Hsu, H.T.[Hsiao-Ting], Liao, Y.P.[You-Peng], Liu, K.C.[Kai-Che], Lie, W.N.[Wen-Nung],
Quality enhancement based on retinex and pseudo-HDR synthesis algorithms for endoscopic images,
VCIP13(1-5)
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endoscopes BibRef

Emam, A.Z., Ali, Y.A., Ben Ismail, M.M.,
Adaptive features extraction for Capsule Endoscopy (CE) video summarization,
ICCVIA15(1-5)
IEEE DOI 1603
endoscopes BibRef

Ben Ismail, M.M., Bchir, O., Emam, A.Z.,
Endoscopy video summarization based on unsupervised learning and feature discrimination,
VCIP13(1-6)
IEEE DOI 1402
endoscopes BibRef

Hirakawa, T.[Tsubasa], Tamaki, T.[Toru], Kurita, T.[Takio], Raytchev, B.[Bisser], Kaneda, K.[Kazufumi], Wang, C.[Chaohui], Najman, L.[Laurent], Koide, T.[Tetsushi], Yoshida, S.[Shigeto], Mieno, H.[Hiroshi], Tanaka, S.[Shinji],
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Hirakawa, T.[Tsubasa], Tamaki, T.[Toru], Raytchev, B.[Bisser], Kaneda, K.[Kazufumi], Koide, T.[Tetsushi], Kominami, Y.[Yoko], Miyaki, R.[Rie], Matsuo, T.[Taiji], Yoshida, S.[Shigeto], Tanaka, S.[Shinji],
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ICIP13(621-625)
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Cancer BibRef

Liu, M.Q.[Mei-Qing], Yan, D.Y.[Da-Yuan], Hu, X.M.[Xiao-Ming], Zhou, Y.[Ya],
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Wu, X.[Xing], Zhuo, S.J.[Shao-Jian], Zhang, W.[Wu],
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Roxo, D.[Diogo], Gonçalves, N.[Nuno], Barreto, J.P.[João P.],
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A wireless robotic video laparo-endoscope for minimal invasive surgery,
WORV13(158-164)
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ICPR12(25-28).
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Luo, X.B.[Xiong-Biao], Kitasaka, T.[Takayuki], Mori, K.[Kensaku],
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ICPR12(117-120).
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Yu, L.[Lecheng], Yuen, P.C.[Pong C], Lai, J.H.[Jian-Huang],
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ICPR12(45-48).
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McCann, M.T.[Michael T.], Bhagavatula, R.[Ramamurthy], Fickus, M.C.[Matthew C.], Ozolek, J.A.[John A.], Kovacevic, J.[Jelena],
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IEEE DOI 1302
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Couceiro, S.[Sara], Barreto, J.P.[João P.], Freire, P.[Paulo], Figueiredo, P.[Pedro],
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MLMI12(144-151).
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Tokgozoglu, H.N.[Haluk N.], Meisner, E.M.[Eric M.], Kazhdan, M.[Michael], Hager, G.D.[Gregory D.],
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MCV12(8-15).
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Näppi, J.[Janne], Lee, J.G.[June-Goo], Fletcher, J.G.[Joel G.], Yoshida, H.[Hiroyuki],
Computer-Assisted Diagnosis for Quantitative Image-Based Analysis of Crohn's Disease in CT Enterography,
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Springer DOI 1112
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Sainani, N.I.[Nisha I.], Näppi, J.[Janne], Sahani, D.V.[Dushyant V.], Yoshida, H.[Hiroyuki],
Computer-Aided Detection of Small Bowel Strictures for Emergency Radiology in CT Enterography,
VirtualColon10(91-97).
Springer DOI 1112
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Hwang, S.[Sae],
Bag-of-Visual-Words Approach to Abnormal Image Detection in Wireless Capsule Endoscopy Videos,
ISVC11(II: 320-327).
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Riaz, F.[Farhan], Vilarino, F.[Fernando], Ribeiro, M.D.[Mario Dinis], Coimbra, M.[Miguel],
Identifying Potentially Cancerous Tissues in Chromoendoscopy Images,
IbPRIA11(709-716).
Springer DOI 1106
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Lee, M.H.[Moon-Hyun], Seo, D.K.[Dong-Kyun], Seo, B.K.[Byung-Kuk], Park, J.I.[Jong-Il],
Optimal illumination spectrum for endoscope,
FCV11(1-6).
IEEE DOI 1102
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Klepaczko, A.[Artur], Szczypinski, P.[Piotr],
Automated Segmentation of Endoscopic Images Based on Local Shape-Adaptive Filtering and Color Descriptors,
ACIVS10(I: 245-254).
Springer DOI 1012
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Weibel, T.[Thomas], Daul, C.[Christian], Wolf, D.[Didier], Rosch, R.[Ronald],
Planarity-enforcing higher-order graph cut,
ICIP11(41-44).
IEEE DOI 1201
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Weibel, T.[Thomas], Daul, C.[Christian], Wolf, D.[Didier], Rosch, R.[Ronald],
Contrast-enhancing seam detection and blending using graph cuts,
ICPR12(2732-2735).
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Weibel, T.[Thomas], Daul, C.[Christian], Wolf, D.[Didier], Rosch, R.[Ronald], Ben-Hamadou, A.[Achraf],
Endoscopic bladder image registration using sparse graph cuts,
ICIP10(157-160).
IEEE DOI 1009
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Ben-Hamadou, A.[Achraf], Daul, C.[Christian], Soussen, C.[Charles], Rekik, A.[Ahmed], Blondel, W.[Walter],
A novel 3D surface construction approach: Application to three-dimensional endoscopic data,
ICIP10(4425-4428).
IEEE DOI 1009
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Klepaczko, A.[Artur], Szczypinski, P.[Piotr], Daniel, P.[Piotr], Pazurek, M.[Marek],
Local Polynomial Approximation for Unsupervised Segmentation of Endoscopic Images,
ICCVG10(II: 33-40).
Springer DOI 1009
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Drozdzal, M.[Michal], Seguí, S.[Santi], Malagelada, C.[Carolina], Azpiroz, F.[Fernando], Vitrià, J.[Jordi], Radeva, P.I.[Petia I.],
Interactive Labeling of WCE Images,
IbPRIA11(143-150).
Springer DOI 1106
wireless capsule endoscopy BibRef

Drozdzal, M.[Michal], Igual, L.[Laura], Vitria, J.[Jordi], Malagelada, C.[Carolina], Azpiroz, F.[Fernando], Radeva, P.I.[Petia I.],
Aligning endoluminal scene sequences in wireless capsule endoscopy,
MMBIA10(117-124).
IEEE DOI 1006
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Zhou, J.[Jin], Zhang, Q.[Qiang], Li, B.X.[Bao-Xin], Das, A.[Ananya],
Synthesis of stereoscopic views from monocular endoscopic videos,
MMBIA10(55-62).
IEEE DOI 1006
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Sousa, A., Dinis-Ribeiro, M., Areia, M., Coimbra, M.,
Identifying cancer regions in vital-stained magnification endoscopy images using adapted color histograms,
ICIP09(681-684).
IEEE DOI 0911
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Zhao, F.[Feng], Lin, F.[Feng], Qian, K.[Kemao], Seah, H.S.[Hock Soon], Kung, S.Y.[Sun-Yuan],
Feature-based registration of confocal fluorescence endomicroscopy images,
ICIP09(2517-2520).
IEEE DOI 0911
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Abretske, D.[Daniel], Mirota, D.[Daniel], Hager, G.D.[Gregory D.], Ishii, M.[Masaru],
Intelligent frame selection for anatomic reconstruction from endoscopic video,
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Li, J.[Jing], Deng, Y.J.[You-Jun],
Fast Compression Algorithms for Capsule Endoscope Images,
CISP09(1-4).
IEEE DOI 0910
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Szczypinski, P.[Piotr], Klepaczko, A.[Artur],
Convex Hull-Based Feature Selection in Application to Classification of Wireless Capsule Endoscopic Images,
ACIVS09(664-675).
Springer DOI 0909
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Gallo, G.[Giovanni], Granata, E.[Eliana], Scarpulla, G.[Giuseppe],
Sudden Changes Detection in WCE Video,
CIAP09(701-710).
Springer DOI 0909
Wireless Capsule Endoscopy (WCE). Reduce total frames for human analysis. BibRef

Ryusuke, S.[Sagawa], Takurou, S.[Sakai], Tomio, E.[Echigo], Keiko, Y.[Yagi], Masatsugu, S.[Shiba], Kazuhide, H.[Higuchi], Tetsuo, A.[Arakawa], Yasushi, Y.[Yagi],
Omnidirectional Vision Attachment for Medical Endoscopes,
OMNIVIS08(xx-yy). 0810
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Lu, L.[Le], Bi, J.[Jinbo], Wolf, M.[Matthias], Salganicoff, M.[Marcos],
Effective 3D object detection and regression using probabilistic segmentation features in CT images,
CVPR11(1049-1056).
IEEE DOI 1106
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Zhou, J.[Jin], Das, A.[Ananya], Li, F.[Feng], Li, B.X.[Bao-Xin],
Circular generalized cylinder fitting for 3D reconstruction in endoscopic imaging based on MRF,
MMBIA08(1-8).
IEEE DOI 0806
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Nedzved, A., Bucha, V., Ablameyko, S.V.,
Augmented 3D Endoscopy Video,
3DTV08(349-352).
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Langs, G.[Georg], Paragios, N.[Nikos], Donner, R.[Rene], Desgranges, P.[Pascal], Rahmouni, A.[Alain], Kobeiter, H.[Hicham],
Motion Analysis of Endovascular Stent-Grafts by MDL Based Registration,
MMBIA07(1-8).
IEEE DOI 0710
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Kwitt, R.[Roland], Uhl, A.[Andreas],
Modeling the Marginal Distributions of Complex Wavelet Coefficient Magnitudes for the Classification of Zoom-Endoscopy Images,
MMBIA07(1-8).
IEEE DOI 0710
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Barreto, J.P.[Joao P.], Swaminathan, R.[Rahul], Roquette, J.[Jose],
Non Parametric Distortion Correction in Endoscopic Medical Images,
3DTV07(1-4).
IEEE DOI 0705
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Herold-García, S.[Silena], Rivera-Rovelo, J.[Jorge], Bayro-Corrochano, E.[Eduardo],
Conformal Geometric Algebra for Endoscope-Traking System Calibration in Neurosurgery,
CIARP07(871-880).
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See also Use of Geometric Algebra for 3D Modeling and Registration of Medical Data, The. BibRef

Li, B.P.[Bao-Pu], Meng, M.Q.H.[Max Q.H.],
Wireless Capsule Endoscopy Images Enhancement using Contrast Driven Forward and Backward Anisotropic Diffusion,
ICIP07(II: 437-440).
IEEE DOI 0709
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Doignon, C., Nageotte, F., de Mathelin, M.,
Segmentation and Guidance of Multiple Rigid Objects for Intra-operative Endoscopic Vision,
WDV06(314-327).
Springer DOI 0705
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Vilariño, F.[Fernando], Spyridonos, P.[Panagiota], Vitrià, J.[Jordi], Malagelada, C.[Carolina], Radeva, P.I.[Petia I.],
Linear Radial Patterns Characterization for Automatic Detection of Tonic Intestinal Contractions,
CIARP06(178-187).
Springer DOI 0611
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Seguí, S.[Santi], Igual, L.[Laura], Vilariño, F.[Fernando], Radeva, P.I.[Petia I.], Malagelada, C.[Carolina], Azpiroz, F.[Fernando], Vitrià, J.[Jordi],
Diagnostic System for Intestinal Motility Disfunctions Using Video Capsule Endoscopy,
CVS08(xx-yy).
Springer DOI 0805
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Earlier: A1, A2, A4, A5, A6, A7:
A Semi-supervised Learning Method for Motility Disease Diagnostic,
CIARP07(773-782).
Springer DOI 0711
BibRef

Vilariño, F.[Fernando], Spyridonos, P.[Panagiota], Vitrià, J.[Jordi], Malagelada, C.[Carolina], Radeva, P.I.[Petia I.],
A Machine Learning Framework Using SOMs: Applications in the Intestinal Motility Assessment,
CIARP06(188-197).
Springer DOI 0611
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Elter, M.[Matthias], Rupp, S.[Stephan], Winter, C.[Christian],
Physically Motivated Reconstruction of Fiberscopic Images,
ICPR06(III: 599-602).
IEEE DOI 0609
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Vilarino, F., Spyridonos, P., Pujol, O., Vitria, J., Radeva, P.I.,
Automatic Detection of Intestinal Juices in Wireless Capsule Video Endoscopy,
ICPR06(IV: 719-722).
IEEE DOI 0609
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Dhandra, B.V., Hegadi, R.[Ravindra], Hangarge, M.[Mallikarjun], Malemath, V.S.,
Analysis of Abnormality in Endoscopic images using Combined HSI Color Space and Watershed Segmentation,
ICPR06(IV: 695-698).
IEEE DOI 0609
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Audette, M.A., Delingette, H., Fuchs, A., Astley, O., Chinzei, K.,
A Topologically Faithful, Tissue-Guided, Spatially Varying Meshing Strategy for Computing Patient-Specific Head Models for Endoscopic Pituitary Surgery Simulation,
CVBIA05(178-188).
Springer DOI 0601
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Xie, X.[Xiang], Li, G.L.[Guo-Lin], Li, D.M.[Dong-Mei], Zhang, C.[Chun], Wang, Z.H.[Zhi-Hua],
A New Near-lossless Image Compression Algorithm Suitable for Hardware Design in Wireless Endoscopy System,
ICIP05(I: 1125-1128).
IEEE DOI 0512
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Li, P.[Peng], Chan, K.L.[Kap Luk], Fang, W.[Wen],
Hybrid Kernel Machine Ensemble for Imbalanced Data Sets,
ICPR06(I: 1108-1111).
IEEE DOI 0609
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Miranda-Luna, R., Blondel, W.C.P.M., Daul, C., Hernandez-Mier, Y., Posada, R., Wolf, D.,
A simplified method of endoscopic image distortion correction based on grey level registration,
ICIP04(V: 3383-3386).
IEEE DOI 0505
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Bouix, S., Siddiqi, K., Tannenbaum, A.,
Flux driven fly throughs,
CVPR03(I: 449-454).
IEEE DOI 0307
computing central paths through tubular structures for application to virtual endoscopy. BibRef

Schmidt, J.[Jochen], Vogt, F.[Florian], Niemann, H.[Heinrich],
Robust Hand-Eye Calibration of an Endoscopic Surgery Robot Using Dual Quaternions,
DAGM03(548-556).
Springer DOI 0310
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Hasegawa, K., Noda, K., Sato, Y.,
Electronic endoscope system for shape measurement,
ICPR02(I: 792-795).
IEEE DOI 0211
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And: ICPR02(II: 761-764).
IEEE DOI 0211
BibRef

Karkanis, S.A., Iakovidis, D.K., Karras, D., Maroulis, D.E.,
Detection of Lesions in Endoscopic Video Using Textural Descriptors on Wavelet Domain Supported by Artificial Neural Network Architectures,
ICIP01(II: 833-836).
IEEE DOI 0108

See also Evaluation of Textural Feature Extraction Schemes for Neural Network-based Interpretation of Regions in Medical Images. BibRef

Deschamps, T., Cohen, L.D.,
Minimal Paths in 3D Images and Application to Virtual Endoscopy,
ECCV00(II: 543-557).
Springer DOI
PS File. 0003
BibRef

Cohen, L.D.[Laurent D.], and Deschamps, T.[Thomas],
Grouping Connected Components Using Minimal Path Techniques: Application to Reconstruction of Vessels in 2D and 3D Images,
CVPR01(II:102-109).
IEEE DOI
PS File. 0110
BibRef

Helferty, J., Higgins, W.,
Technique for Registering 3d Virtual CT Images to Endoscopic Video,
ICIP01(II: 893-896).
IEEE DOI 0108
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Geiger, B., Kikinis, R.,
Simulation of Endoscopy,
CVRMed95(XX-YY) BibRef 9500

Lee, C.W.[Cheol-Whan], Wang, Y.F.[Yuan-Fang], Uecker, D.R., Wang, Y.L.[Yu-Lun],
Image analysis for automated tracking in robot-assisted endoscopic surgery,
ICPR94(A:88-92).
IEEE DOI 9410
BibRef

Kovalev, V.A.[Vassili A.], Mytzik, N.V.[Nikolai V.],
Computer analysis of the large intestine contours for the recognition of diseases,
CAIP93(634-640).
Springer DOI 9309
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Medical Applications -- Gastrointestinal Tract, Gastric Images .