20 Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models

This chapter contains papers that cover a variety applications to images of people. Medical applications, Face, Gesture, fingerprints, biometrics.

20.1 General Medical Applications

Chapter Contents (Back)
Medical, Applications. Application, Medical. See also Medical Image Database Retrieval.

Medical Dataset Archive,
2006. Dataset, Medical Images.
WWW Link. Variety of medical data. CT dataset available from related web site.

Imorphics Ltd,
2002
WWW Link. Vendor, Medical Image Analysis. Derived from: See also University of Manchester.

Ziosoft,
2007
WWW Link. Vendor, Medical Image Analysis.

Visible Human Project,
1994. Dataset, Medical Images.
HTML Version. Complete data in MRI, CT, slices.

IKOMED Technologies, Inc.,
2011
WWW Link. Vendor, Medical Image Analysis. Goal to reduce radiation exposure from surgical guidance systems.

Honda, N.[Nakaji], Aida, S.[Shuhei],
Analysis of multivariate medical data by face method,
PR(15), No. 3, 1982, pp. 231-242.
Elsevier DOI 0309
BibRef

Cromartie, R., and Pizer, S.M.[Stephen M.],
Structure-Sensitive Adaptive Contrast Enhancement Methods and Their Evaluation,
IVC(11), No. 8, October 1993, pp. 460-467.
Elsevier DOI BibRef 9310

Hill, D.L.G.[Derek L. G.], Hawkes, D.J.[David J.],
Medical Image Registration Using Knowledge of Adjacency of Anatomical Structures,
IVC(12), No. 3, April 1994, pp. 173-178.
Elsevier DOI BibRef 9404
Earlier: BMVC93(xx-yy).
PDF File. 9309
BibRef

Robinson, G.P., Colchester, A.C.F., Griffin, L.D.,
Model-Based Recognition of Anatomical Objects from Medical Images,
IVC(12), No. 8, October 1994, pp. 499-507.
Elsevier DOI BibRef 9410

Roll, S.A., Colchester, A.C.F., Summers, P.E., Griffin, L.D.,
Intensity-Based Object Extraction from 3D Medical Images Including a Correction of Partial Volume Errors,
BMVC94(xx-yy).
PDF File. 9409
BibRef

Robinson, G.P.[Glynn P.], Colchester, A.C.F.[Alan C. F.], Griffin, L.D.[Lewis D.], Hawkes, D.J.[David J.],
Integrated skeleton and boundary shape representation for medical image interpretation,
ECCV92(725-729).
Springer DOI 9205
BibRef

Downs, J., Harrison, R.F., Kennedy, R.L., Cross, S.S.,
Application of the Fuzzy Artmap Neural-Network Model to Medical Pattern-Classification Tasks,
AIMed(8), No. 4, August 1996, pp. 403-428. 9609
BibRef

Berzuini, C., Larizza, C.,
A Unified Approach for Modeling Longitudinal and Failure Time Data, with Application in Medical Monitoring,
PAMI(18), No. 2, February 1996, pp. 109-123.
IEEE DOI BibRef 9602

Dickson, S., Thomas, B.T., MacKeown, W.J.P., Goddard, P.,
Computer Vision Applied to the Detection and Localization of Acoustic Neuromas from Head NIR Images,
VISP(143), No. 4, August 1996, pp. 265-272. 9611
BibRef

Chaudhuri, B.B., Rodenacker, K., Burger, G.,
Characterization and Featuring of Histological Section Images,
PRL(7), 1988, pp. 245-252. BibRef 8800

Backer, E., Gerbrands, J.J., Reiber, J.H.C., Reijs, A.E.M., Krijgsman, W., van den Herik, H.J.,
Modelling Uncertainty in ESATS by Classification Inference,
PRL(8), 1988, pp. 103-112. BibRef 8800

Lebel, O.,
ARCHI: An Expert System for Biological Objects Recognition,
PRL(8), 1988, pp. 131-139. BibRef 8800

Pahlplatz, M.M.M., Katzko, M.W., Hesselmans, G.H.F.M., Oud, P.S., Vooys, G.P.,
Two Methods for Analyzing Pleural Smears for the Presence of Abnormalities,
PRL(4), 1986, pp. 405-411. BibRef 8600

Kallel, F., Bertrand, M.,
Tissue elasticity reconstruction using linear perturbation method,
MedImg(15), No. 3, June 1996, pp. 299-313.
IEEE Top Reference. 0203
BibRef

Vitulano, S., di Ruberto, C., Nappi, M.,
Different Methods to Segment Biomedical Images,
PRL(18), No. 11-13, November 1997, pp. 1125-1131. 9806
BibRef

Adiga, P.S.U.[P.S. Umesh], Chaudhuri, B.B.,
An efficient method based on watershed and rule-based merging for segmentation of 3-D histo-pathological images,
PR(34), No. 7, July 2001, pp. 1449-1458.
Elsevier DOI 0105
BibRef

Karayiannis, N.B., Srinivasan, S., Bhattacharya, R., Wise, M.S., Frost, J.D., Mizrahi, E.M.,
Extraction of motion strength and motor activity signals from video recordings of neonatal seizures,
MedImg(20), No. 9, September 2001, pp. 965-980.
IEEE Top Reference. 0110
BibRef

Karayiannis, N.B., Varughese, B., Tao, G., Frost, J.D., Wise, M.S., Mizrahi, E.M.,
Quantifying Motion in Video Recordings of Neonatal Seizures by Regularized Optical Flow Methods,
IP(14), No. 7, July 2005, pp. 890-903.
IEEE DOI 0506
BibRef

Karayiannis, N.B.[Nicolaos B.], Tao, G.Z.[Guo-Zhi],
An improved procedure for the extraction of temporal motion strength signals from video recordings of neonatal seizures,
IVC(24), No. 1, 1 January 2006, pp. 27-40.
Elsevier DOI 0602
BibRef
Earlier:
Improving the extraction of temporal motion strength signals from video recordings of neonatal seizures,
AVSBS03(87-92).
WWW Link. 0310
BibRef

Karayiannis, N.B., Sami, A.,
Application of adaptive block matching in the extraction of temporal motor activity signals from video recordings of neonatal seizures,
AVSBS03(93-98).
WWW Link. 0310
BibRef

Bon, F.X., Briand, E., Guichard, S., Couturaud, B., Revol, M., Servant, J.M., Dubertret, L.,
Quantitative and kinetic evolution of wound healing through image analysis,
MedImg(19), No. 7, July 2000, pp. 767-772.
IEEE Top Reference. 0110
BibRef

Nuyts, J., Michel, C., Dupont, P.,
Maximum-likelihood expectation-maximization reconstruction of sinograms with arbitrary noise distribution using NEC-transformations,
MedImg(20), No. 5, May 2001, pp. 365-375.
IEEE Top Reference. 0110
BibRef

Altbach, M.I., Trouard, T.P., van de Walle, R., Theilmann, R.J., Clarkson, E.W., Barrett, H.H., Gmitro, A.F.,
Chemical-shift imaging utilizing the positional shifts along the readout gradient direction,
MedImg(20), No. 11, November 2001, pp. 1156-1166.
IEEE Top Reference. 0111
BibRef

Hansen, G.L., Sparrow, E.M., Kokate, J.Y., Leland, K.J., Iaizzo, P.A.,
Wound status evaluation using color image processing,
MedImg(16), No. 1, February 1997, pp. 78-86.
IEEE Top Reference. 0205
BibRef

Abbey, C.K.[Craig K.], Eckstein, M.P.[Miguel P.],
Optimal shifted estimates of human-observer templates in two-alternative forced-choice experiments,
MedImg(21), No. 5, May 2002, pp. 429-440.
IEEE Top Reference. 0206
BibRef

Lashkia, G.V.[George V.], Anthony, L.[Laurence],
An inductive learning method for medical diagnosis,
PRL(24), No. 1-3, January 2003, pp. 273-282.
Elsevier DOI 0211
BibRef

Masood, S., Gao, J.X.[Jian-Xin], Yang, G.Z.[Guang-Zhong],
Virtual tagging: numerical considerations and phantom validation,
MedImg(21), No. 9, September 2002, pp. 1123-1131.
IEEE Top Reference. 0301
BibRef

Jannin, P., Fitzpatrick, J.M., Hawkes, D.J., Pennec, X., Shahidl, R., Vannier, M.W.,
Validation of medical image processing in image-guided therapy,
MedImg(21), No. 12, December 2002, pp. 1445-1449.
IEEE Top Reference. 0301
BibRef

Sonka, M., Grunkin, M.,
Image processing and analysis in drug discovery and clinical trials,
MedImg(21), No. 10, October 2002, pp. 1209-1211.
IEEE Top Reference. 0301
BibRef

Lee, T.Y.[Tong-Yee], Lin, C.H.[Chao-Hung],
Feature-guided shape-based image interpolation,
MedImg(21), No. 12, December 2002, pp. 1479-1489.
IEEE Top Reference. 0301
BibRef

Karbeyaz, B.U., Gencer, N.G.,
Electrical conductivity imaging via contactless measurements: an experimental study,
MedImg(22), No. 5, May 2003, pp. 627-635.
IEEE Abstract. 0307
BibRef

Sporring, J., Niessen, W.J., Weickert, J.,
Growth and motion in three-dimensional medical images,
MedImg(22), No. 6, June 2003, pp. 697-698.
IEEE Abstract. 0308
BibRef

Park, H.[Hyunjin], Bland, P.H., Meyer, C.R.,
Construction of an abdominal probabilistic atlas and its application in segmentation,
MedImg(22), No. 4, April 2003, pp. 483-492.
IEEE Abstract. 0306
BibRef

Chbeir, R., Favetta, F.,
A global description of medical imaging with high precision,
SMC-B(33), No. 5, October 2003, pp. 752-757.
IEEE Abstract. 0310
BibRef

Vannier, M.W., Staab, E.V., Clarke, L.P.,
Matching clinical and biological needs with emerging imaging technologies,
PIEEE(91), No. 10, October 2003, pp. 1562-1573.
IEEE DOI 0310
BibRef

Rodin, V., Benzinou, A., Guillaud, A., Ballet, P., Harrouet, F., Tisseau, J., Le Bihan, J.,
An immune oriented multi-agent system for biological image processing,
PR(37), No. 4, April 2004, pp. 631-645.
Elsevier DOI 0403
BibRef

Techavipoo, U., Chen, Q., Varghese, T., Zagzebski, J.A.,
Estimation of displacement vectors and strain tensors in elastography using angular insonifications,
MedImg(23), No. 12, December 2004, pp. 1479-1489.
IEEE Abstract. 0412
BibRef

Pang, B.[Bo], Zhang, D.[David], Wang, K.Q.[Kuan-Quan],
The Bi-Elliptical Deformable Contour and Its Application to Automated Tongue Segmentation in Chinese Medicine,
MedImg(24), No. 8, August 2005, pp. 946-956.
IEEE DOI 0508
BibRef

Zhang, H.Z.[Hong-Zhi], Zuo, W.M.[Wang-Meng], Wang, K.Q.[Kuan-Quan], Zhang, D.[David],
A snake-based approach to automated segmentation of tongue image using polar edge detector,
IJIST(16), No. 4, 2006, pp. 103-112.
DOI Link 0703
BibRef

Pang, B.[Bo], Wang, K.Q.[Kuan-Quan], Zhang, D., Zhang, F.M.[Feng-Miao],
On automated tongue image segmentation in Chinese medicine,
ICPR02(I: 616-619).
IEEE DOI 0211
BibRef

Ning, F., Delhomme, D., Le Cun, Y.L., Piano, F., Bottou, L., Barbano, P.E.,
Toward Automatic Phenotyping of Developing Embryos From Videos,
IP(14), No. 8, August 2005, pp. 1360-1371.
IEEE DOI 0508
BibRef

Hicks, Y.A., Marshall, A.D., Rosin, P.L., Martin, R.R., Mann, D.G., Droop, S.J.M.,
A model of diatom shape and texture for analysis, synthesis and identification,
MVA(17), No. 5, October 2006, pp. 297-307.
Springer DOI 0609
BibRef

Hicks, Y.A., Marshall, A.D., Martin, R.R., Rosin, P.L., Bayer, M.M., Mann, D.G.,
Automatic landmarking for building biological shape models,
ICIP02(II: 801-804).
IEEE DOI
PDF File. 0210
BibRef

Deselaers, T.[Thomas], Deserno, T.M.[Thomas M.], Muller, H.[Henning],
Automatic Medical Image Annotation in ImageCLEF 2007: Overview, Results, and Discussion,
PRL(29), No. 15, 1 November 2008, pp. 1988-1995.
Elsevier DOI 0811
Automatic image annotation; Medical images; Benchmark; Evaluation BibRef

Deselaers, T.[Thomas], Müller, H.[Henning], Clough, P.[Paul], Ney, H.[Hermann], Lehmann, T.M.[Thomas M.],
The CLEF 2005 Automatic Medical Image Annotation Task,
IJCV(74), No. 1, August 2007, pp. 51-58.
Springer DOI 0705
Cross-language image retrieval campaign (ImageCLEF). Evaluation. BibRef

Grenander, U.[Ulf], Srivastava, A.[Anuj], Saini, S.[Sanjay],
A Pattern-Theoretic Characterization of Biological Growth,
MedImg(26), No. 5, May 2007, pp. 648-659.
IEEE DOI 0705
BibRef

Srivastava, A.[Anuj], Saini, S.[Sanjay], Ding, Z.H.[Zhao-Hua], Grenander, U.[Ulf],
Maximum-Likelihood Estimation of Biological Growth Variables,
EMMCVPR05(107-118).
Springer DOI 0601
BibRef

Vidarsson, L., Cunningham, C., Gold, G.E., Pauly, J.M.,
T{2}- Selective Magnetization Preparation Pulses,
MedImg(26), No. 7, July 2007, pp. 981-989.
IEEE DOI 0707
BibRef

Treleaven, P.[Philip], Wells, J.[Jonathan],
3D Body Scanning and Healthcare Applications,
Computer(40), No. 7, July 2007, pp. 28-34.
IEEE DOI 0707
BibRef

Machado, A.M.C.[Alexei Manso Corręa],
Multiple Testing Correction in Medical Image Analysis,
JMIV(29), No. 2-3, November 2007, pp. 107-117.
Springer DOI 0712
BibRef

Hiruma, T.,
Photonics Technology for Molecular Imaging,
PIEEE(93), No. 4, April 2005, pp. 829-843.
IEEE DOI 0504
BibRef

Stayton, P.S., Hoffman, A.S., El-Sayed, M., Kulkarni, S., Shimoboji, T., Murthy, N., Bulmus, V., Lackey, C.,
Intelligent Biohybrid Materials for Therapeutic and Imaging Agent Delivery,
PIEEE(93), No. 4, April 2005, pp. 726-736.
IEEE DOI 0504
BibRef

Ahmed, W.M., Leavesley, S.J., Rajwa, B., Ayyaz, M.N., Ghafoor, A., Robinson, J.P.,
State of the Art in Information Extraction and Quantitative Analysis for Multimodality Biomolecular Imaging,
PIEEE(96), No. 3, March 2008, pp. 512-531.
IEEE DOI 0804
BibRef

Insana, M.F., Wickline, S.A.,
Multimodality Biomolecular Imaging,
PIEEE(96), No. 3, March 2008, pp. 378-381.
IEEE DOI 0804
BibRef

Kumar, V.S.[Vijay S.], Narayanan, S.[Sivaramakrishnan], Kurc, T.[Tahsin], Kong, J.[Jun], Gurcan, M.N.[Metin N.], Saltz, J.H.[Joel H.],
Analysis and Semantic Querying in Large Biomedical Image Datasets,
Computer(41), No. 4, April 2008, pp. 52-59.
IEEE DOI 0804
BibRef

Fischer, S.[Stefan], Bunke, H.[Horst],
Automatic Identification Of Diatoms Using Visual Human-Interpretable Features,
IJIG(2), No. 1, January 2002, pp. 67-87. 0201
BibRef

Cui, Y.F.[Yun-Feng], Bai, J.[Jing], Chen, Y.M.[Ying-Mao], Tian, J.H.[Jia-He],
A Digital Model Framework Of Metabolic System Based On Visible Human Data Set,
IJIG(7), No. 1, January 2007, pp. 143-157. 0701
BibRef

Bajla, I.[Ivan], Rublík, F.[František], Arendacká, B.[Barbora], Farkaš, I.[Igor], Hornišová, K.[Klára], Štolc, S.[Svorad], Witkovský, V.[Viktor],
Segmentation and supervised classification of image objects in Epo doping-control,
MVA(20), No. 4, June 2009, pp. xx-yy.
Springer DOI 0904
Identify bands in gel images for doping control analysis. BibRef

Ribeiro, M.X., Traina, A.J.M., Traina, C., Azevedo-Marques, P.M.,
An Association Rule-Based Method to Support Medical Image Diagnosis With Efficiency,
MultMed(10), No. 2, February 2008, pp. 277-285.
IEEE DOI 0905
BibRef

Lin, F.[Feng], Olivo, M.[Malini], Kung, S.Y.[Sun-Yuan], (Eds.)
Biomedical Imaging,
Springer-Verlag2009. ISBN: 978-1-4419-1165-0
WWW Link. Reprinted from Journal of Signal Processing Systems, Vols. 54-55 Nos. 1-3 Buy this book: Biomedical Imaging 0910
BibRef

Huang, B.[Bo], Li, N.[Naimin],
Fungiform Papillae Hyperplasia (fph) Identification by Tongue Texture Analysis,
IJIG(9), No. 3, July 2009, pp. 479-494.
DOI Link 0911
BibRef

Zaidi, H., Tsui, B.M.W.,
Computational Anthropomorphic Anatomical Models,
PIEEE(97), No. 12, December 2009, pp. 1935-1937.
IEEE DOI 0912
Introduction. BibRef

Han, D., Liu, Q., Luo, Q.,
China Physiome Project: A Comprehensive Framework for Anatomical and Physiological Databases From the China Digital Human and the Visible Rat,
PIEEE(97), No. 12, December 2009, pp. 1969-1976.
IEEE DOI 0912
BibRef

Wernick, M.N., Yang, Y., Brankov, J.G., Yourganov, G., Strother, S.C.,
Machine Learning in Medical Imaging,
SPMag(27), No. 4, 2010, pp. 25-38.
IEEE DOI 1007
BibRef

Tustison, N.J., Avants, B.B., Cook, P.A., Zheng, Y.J.[Yuan-Jie], Egan, A., Yushkevich, P.A., Gee, J.C.,
N4ITK: Improved N3 Bias Correction,
MedImg(29), No. 6, June 2010, pp. 1310-1320.
IEEE DOI 1007
Nonparametric Nonuniform Intensity Normalization. Code is available to the public through the Insight Toolkit of the National Institutes of Health. See also Insight Segmentation and Registration Toolkit (ITK). BibRef

Hu, Z., Shi, P.,
Sensitivity Analysis for Biomedical Models,
MedImg(29), No. 11, November 2010, pp. 1870-1881.
IEEE DOI 1011
To see the effect on the model. BibRef

Hur, W.[Wonchang], Kim, D.[Dongsoo],
The Future of Digital Imaging,
CACM(53), No. 1, January 2010, pp. 131-135.
DOI Link 1101
Traditionally, radiology is a support department that provides imaging services to other hospital departments. In this conventional framework, the primary concerns of a radiology department were how to enhance the productivity BibRef

Tavares, J.M.R.S.[Joăo Manuel R.S.], Jorge, R.M.N.[R.M. Natal],
Advances in Computational Vision and Medical Image Processing: Methods and Applications,
Springer2009, ISBN: 978-1-4020-9085-1


WWW Link. Extended versions of papers from VIPIMAGE 2007 - ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing. BibRef 0900

Tavares, J.M.R.S.[Joăo Manuel R. S.], Jorge, R.M.N.[R. M. Natal], (Eds.)
Computational Vision and Medical Image Processing: Recent Trends,
Springer2011. ISBN 978-94-007-0010-9, Hardcover


WWW Link. 1101
Extended versions from ECCOMAS conference. BibRef

Tavares, J.M.R.S.[Joăo Manuel R.S.], Natal Jorge, R.M.[Renato M.], (Eds.)
Topics in Medical Image Processing and Computational Vision,
Springer2013. ISBN 978-94-007-0725-2.


WWW Link. 1304
BibRef

Niemeijer, M., Loog, M., Abramoff, M.D., Viergever, M.A., Prokop, M., van Ginneken, B.,
On Combining Computer-Aided Detection Systems,
MedImg(30), No. 2, February 2011, pp. 215-223.
IEEE DOI 1102
BibRef

Miwakeichi, F., Oku, Y., Okada, Y., Kawai, S., Tamura, Y., Ishiguro, M.,
Detection and Visualization Method of Dynamic State Transition for Biological Spatio-Temporal Imaging Data,
MedImg(30), No. 3, March 2011, pp. 859-866.
IEEE DOI 1103
BibRef

Deserno, T.M.[Thomas Martin], (Ed.)
Biomedical Image Processing,
Springer2011, ISBN: 978-3-642-15815-5
WWW Link. Buy this book: Biomedical Image Processing (Biological and Medical Physics, Biomedical Engineering) 1103
Image processing, Information storage and retrieval, Medical imaging, Pattern recognition BibRef

Savarimuthu, T.R.[Thiusius Rajeeth], Kjćr-Nielsen, A.[Anders], Sřrensen, A.S.[Anders Stengaard],
Real-time medical video processing, enabled by hardware accelerated correlations,
RealTimeIP(6), No. 3, September 2011, pp. 187-197.
WWW Link. 1108
BibRef

Dougherty, G.[Geoff], (Ed.)
Medical Image Processing: Techniques and Applications,
Springer2011. ISBN: 978-1-4419-9769-2
WWW Link. 1109
BibRef

Pianykh, O.S.[Oleg S.],
Digital Imaging and Communications in Medicine (DICOM): A Practical Introduction and Survival Guide,
SpringerNew-York, 2012. ISBN: 978-3-642-10849-5
WWW Link. Buy this book: Digital Imaging and Communications in Medicine (DICOM): A Practical Introduction and Survival Guide 1111
BibRef

Batmanghelich, N.K.[Nematollah K.], Taskar, B.[Ben], Davatzikos, C.[Christos],
Generative-Discriminative Basis Learning for Medical Imaging,
MedImg(31), No. 1, January 2012, pp. 51-69.
IEEE DOI 1201
BibRef

Batmanghelich, N.K.[Nematollah K.], Gooya, A.[Ali], Kanterakis, S.[Stathis], Taskar, B.[Ben], Davatzikos, C.[Christos],
Application of trace-norm and low-rank matrix decomposition for computational anatomy,
MMBIA10(146-153).
IEEE DOI 1006
BibRef

Stanescu, L., Burdescu, D.D., Brezovan, M., Mihai, C.G.,
Creating New Medical Ontologies for Image Annotation: A Case Study,
SpringerNew-York, 2012. ISBN: 978-1-4614-1908-2
WWW Link. Buy this book: Creating New Medical Ontologies for Image Annotation: A Case Study (SpringerBriefs in Electrical and Computer Engineering) 1202
Medical image annotation. BibRef

Venkataraman, A., Rathi, Y., Kubicki, M., Westin, C.F., Golland, P.[Polina],
Joint Modeling of Anatomical and Functional Connectivity for Population Studies,
MedImg(31), No. 2, February 2012, pp. 164-182.
IEEE DOI 1202
BibRef

Venkataraman, A.[Archana], Kubicki, M.[Marek], Westin, C.F.[Carl-Fredrik], Golland, P.[Polina],
Robust feature selection in resting-state fMRI connectivity based on population studies,
MMBIA10(63-70).
IEEE DOI 1006
BibRef

Venkataraman, A., Kubicki, M., Golland, P.,
From Connectivity Models to Region Labels: Identifying Foci of a Neurological Disorder,
MedImg(32), No. 11, 2013, pp. 2078-2098.
IEEE DOI 1312
biomedical MRI BibRef

Nguyen, B.P.[Binh P.], Tay, W.L.[Wei-Liang], Chui, C.K.[Chee-Kong], Ong, S.H.[Sim-Heng],
A clustering-based system to automate transfer function design for medical image visualization,
VC(27), No. 2, February 2011, pp. 181-191.
WWW Link. 1203
BibRef

Cai, L.[Lile], Nguyen, B.P.[Binh P.], Chui, C.K.[Chee-Kong], Ong, S.H.[Sim-Heng],
A two-level clustering approach for multidimensional transfer function specification in volume visualization,
VC(33), No. 2, February 2017, pp. 163-177.
WWW Link. 1702
BibRef

Loménie, N.[Nicolas], Racoceanu, D.[Daniel], Gouaillard, A.[Alexandre], (Eds.)
Advances in Bio-Imaging: From Physics to Signal Understanding Issues: State-of-the-Art and Challenges,
Springer2012. ISBN 978-3-642-25546-5


WWW Link. 1203
BibRef

Doinikov, A.A., Aired, L., Bouakaz, A.,
Dynamics of a Contrast Agent Microbubble Attached to an Elastic Wall,
MedImg(31), No. 3, March 2012, pp. 654-662.
IEEE DOI 1203
BibRef

Mishra, S.[Sashikala], Shaw, K.[Kailash], Mishra, D.[Debahuti], Patnaik, S.[Srikanta],
An enhanced classifier fusion model for classifying biomedical data,
IJCVR(3), No. 1-2, 2012, pp. 129-137.
DOI Link 1204
BibRef

Parekh, R.[Ranjan],
Using Texture Analysis for Medical Diagnosis,
MultMedMag(19), No. 1, January-March 2012, pp. 28-37.
IEEE DOI 1202
BibRef

Celebi, M.E.[M. Emre], Schaefer, G.[Gerald], (Eds.)
Color Medical Image Analysis,
Springer2013. ISBN 978-94-007-5388-4


WWW Link. 1211
BibRef

Glatard, T., Lartizien, C., Gibaud, B., Ferreira da Silva, R., Forestier, G., Cervenansky, F., Alessandrini, M., Benoit-Cattin, H., Bernard, O., Camarasu-Pop, S., Cerezo, N., Clarysse, P., Gaignard, A., Hugonnard, P., Liebgott, H., Marache, S., Marion, A., Montagnat, J., Tabary, J., Friboulet, D.,
A Virtual Imaging Platform for Multi-Modality Medical Image Simulation,
MedImg(32), No. 1, January 2013, pp. 110-118.
IEEE DOI 1301
BibRef

Simpson, I.J.A., Woolrich, M.W., Andersson, J.L.R., Groves, A.R., Schnabel, J.A.,
Ensemble Learning Incorporating Uncertain Registration,
MedImg(32), No. 4, April 2013, pp. 748-756.
IEEE DOI 1304
BibRef

Khalifa, F., Beache, G.M., El-Ghar, M.A., El-Diasty, T., Gimel'farb, G.L., Kong, M.Y.[Mai-Ying], El-Baz, A.,
Dynamic Contrast-Enhanced MRI-Based Early Detection of Acute Renal Transplant Rejection,
MedImg(32), No. 10, 2013, pp. 1910-1927.
IEEE DOI 1311
Laplace equations BibRef

El-Baz, A.[Ayman], Gimel'farb, G.L.[Georgy L.], El-Ghar, M.A.[Mohamed A.],
Image analysis approach for identification of renal transplant rejection,
ICPR08(1-4).
IEEE DOI 0812
BibRef
And:
A novel image analysis approach for accurate identification of acute renal rejection,
ICIP08(1812-1815).
IEEE DOI 0810
BibRef

Fu, H.[Hao], Qiu, G.P.[Guo-Ping], Shu, J.[Jie], Ilyas, M.[Mohammad],
A Novel Polar Space Random Field Model for the Detection of Glandular Structures,
MedImg(33), No. 3, March 2014, pp. 764-776.
IEEE DOI 1404
BibRef
Earlier: A1, A2, A4, A3:
GlandVision: A Novel Polar Space Random Field Model for Glandular Biological Structure Detection,
BMVC12(42).
DOI Link 1301
cancer BibRef

Moon, Y.L.[Young Lae], Sugamoto, K., Paoluzzi, A., Di Carlo, A., Kwak, J.[Jaekeun], Shin, D.S.[Dong Sun], Kim, D.O.[Dae Ok], Lee, D.H.[Dae Hyun], Kim, J.Y.[Joo-Young],
Standardizing 3D Medical Imaging,
Computer(47), No. 4, April 2014, pp. 76-79.
IEEE DOI 1405
medical computing BibRef

Wang, Y.[Ying], Waylen, P.R.[Peter R.], Mao, L.[Liang],
Modeling Properties of Influenza-Like Illness Peak Events with Crossing Theory,
IJGI(3), No. 2, 2014, pp. 764-780.
DOI Link 1407
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Alamedine, D., Diab, A., Muszynski, C., Karlsson, B., Khalil, M., Marque, C.,
Selection algorithm for parameters to characterize uterine EHG signals for the detection of preterm labor,
SIViP(8), No. 6, September 2014, pp. 1169-1178.
Springer DOI 1408
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Body temperature measurement of an animal by tracking in biomedical experiments,
SIViP(9), No. 2, February 2015, pp. 251-259.
Springer DOI 1503
Measure body temperature. BibRef

Ozana, N., Margalith, I., Beiderman, Y., Kunin, M., Campino, G.A., Gerasi, R., Garcia, J., Mico, V., Zalevsky, Z.,
Demonstration of a Remote Optical Measurement Configuration That Correlates With Breathing, Heart Rate, Pulse Pressure, Blood Coagulation, and Blood Oxygenation,
PIEEE(103), No. 2, February 2015, pp. 248-262.
IEEE DOI 1504
Pulse Rate. Biomedical monitoring BibRef

Feng, L., Po, L., Xu, X., Li, Y., Ma, R.,
Motion-Resistant Remote Imaging Photoplethysmography Based on the Optical Properties of Skin,
CirSysVideo(25), No. 5, May 2015, pp. 879-891.
IEEE DOI 1505
contactless monitoring of human vital signs. BibRef

Cardoso, M.J.[M. Jorge], Modat, M.[Marc], Wolz, R., Melbourne, A., Cash, D.[David], Rueckert, D., Ourselin, S.[Sebastien],
Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion,
MedImg(34), No. 9, September 2015, pp. 1976-1988.
IEEE DOI 1509
Image segmentation Clinical annotations. BibRef

Nguyen, M.T.[Minh-Tien], Nguyen, T.T.[Tri-Thanh],
DESRM: a disease extraction system for real-time monitoring,
IJCVR(5), No. 3, 2015, pp. 282-301.
DOI Link 1509
Extract infectious disease events in Vietnamese electronic news. Text not image based. BibRef

Lazzarini, N.[Nicola], Nanni, L.[Loris], Fantozzi, C.[Carlo], Pietracaprina, A.[Andrea], Pucci, G.[Geppino], Seccia, T.M.[Teresa Maria], Rossi, G.P.[Gian Paolo],
Heterogeneous machine learning system for improving the diagnosis of primary aldosteronism,
PRL(65), No. 1, 2015, pp. 124-130.
Elsevier DOI 1511
Primary aldosteronism BibRef

Sun, L.[Li], Hong, H.[Hong], Li, Y.S.[Yu-Sheng], Gu, C.[Chen], Xi, F.[Feng], Li, C.[Changzhi], Zhu, X.H.[Xiao-Hua],
Noncontact Vital Sign Detection based on Stepwise Atomic Norm Minimization,
SPLetters(22), No. 12, December 2015, pp. 2479-2483.
IEEE DOI 1512
biomedical measurement BibRef

Nakamura, T., Kiyono, K., Wendt, H., Abry, P., Yamamoto, Y.,
Multiscale Analysis of Intensive Longitudinal Biomedical Signals and Its Clinical Applications,
PIEEE(104), No. 2, February 2016, pp. 242-261.
IEEE DOI 1601
Biomedical monitoring BibRef

Clemson, P., Lancaster, G., Stefanovska, A.,
Reconstructing Time-Dependent Dynamics,
PIEEE(104), No. 2, February 2016, pp. 223-241.
IEEE DOI 1601
Biomedical signal processing BibRef

Witzenburg, C.M., Dhume, R.Y., Lake, S.P., Barocas, V.H.,
Automatic Segmentation of Mechanically Inhomogeneous Tissues Based on Deformation Gradient Jump,
MedImg(35), No. 1, January 2016, pp. 29-41.
IEEE DOI 1601
Biological tissues BibRef

Wang, Z., Ding, H., Lu, G., Bi, X.,
Reverse-Time Migration Based Optical Imaging,
MedImg(35), No. 1, January 2016, pp. 273-281.
IEEE DOI 1601
Biomedical optical imaging. modeling the wave propagation inside the media with both forward modeling and reverse-time extrapolation. BibRef

Dong, A., Honnorat, N., Gaonkar, B., Davatzikos, C.,
CHIMERA: Clustering of Heterogeneous Disease Effects via Distribution Matching of Imaging Patterns,
MedImg(35), No. 2, February 2016, pp. 612-621.
IEEE DOI 1602
Atrophy BibRef

Batmanghelich, N.K., Dalca, A., Quon, G., Sabuncu, M., Golland, P.,
Probabilistic Modeling of Imaging, Genetics and Diagnosis,
MedImg(35), No. 7, July 2016, pp. 1765-1779.
IEEE DOI 1608
Bayes methods BibRef

Zeng, K., Erus, G.[Guray], Sotiras, A., Shinohara, R.T., Davatzikos, C.[Christos],
Abnormality Detection via Iterative Deformable Registration and Basis-Pursuit Decomposition,
MedImg(35), No. 8, August 2016, pp. 1937-1951.
IEEE DOI 1608
Biomedical imaging BibRef

Erus, G.[Guray], Zacharaki, E.I.[Evangelia I.], Bryan, N.[Nick], Davatzikos, C.[Christos],
Learning high-dimensional image statistics for abnormality detection on medical images,
MMBIA10(139-145).
IEEE DOI 1006
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Sethi, G.[Gaurav], Saini, B.S.,
Computer Aided Diagnosis of Abdomen Diseases Using Curvelet Transform,
IJIG(16), No. 03, 2016, pp. 1650013.
DOI Link 1608
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Alvén, J.[Jennifer], Norlén, A.[Alexander], Enqvist, O.[Olof], Kahl, F.[Fredrik],
Überatlas: Fast and robust registration for multi-atlas segmentation,
PRL(80), No. 1, 2016, pp. 249-255.
Elsevier DOI 1609
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Überatlas: Robust Speed-Up of Feature-Based Registration and Multi-Atlas Segmentation,
SCIA15(92-102).
Springer DOI 1506
Feature-based registration BibRef

Aranki, D., Kurillo, G., Yan, P., Liebovitz, D.M., Bajcsy, R.,
Real-Time Tele-Monitoring of Patients with Chronic Heart-Failure Using a Smartphone: Lessons Learned,
AffCom(7), No. 3, July 2016, pp. 206-219.
IEEE DOI 1609
Biomedical monitoring BibRef

Anton, D.[David], Kurillo, G.[Gregorij], Yang, A.Y.[Allen Y.], Bajcsy, R.[Ruzena],
Augmented Telemedicine Platform for Real-Time Remote Medical Consultation,
MMMod17(I: 77-89).
Springer DOI 1701
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Kurillo, G.[Gregorij], Yang, A.Y.[Allen Y.], Shia, V.[Victor], Bair, A.[Aaron], Bajcsy, R.[Ruzena],
New Emergency Medicine Paradigm via Augmented Telemedicine,
VAMR16(502-511).
Springer DOI 1608
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Smarr, B.L., Burnett, D.C., Mesri, S.M., Pister, K.S.J., Kriegsfeld, L.J.,
A Wearable Sensor System with Circadian Rhythm Stability Estimation for Prototyping Biomedical Studies,
AffCom(7), No. 3, July 2016, pp. 220-230.
IEEE DOI 1609
Biomedical monitoring BibRef

Li, R.[Rui], Shi, P.C.[Peng-Cheng], Pelz, J.[Jeff], Alm, C.O.[Cecilia O.], Haake, A.R.[Anne R.],
Modeling eye movement patterns to characterize perceptual skill in image-based diagnostic reasoning processes,
CVIU(151), No. 1, 2016, pp. 138-152.
Elsevier DOI 1610
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Image Understanding from Experts' Eyes by Modeling Perceptual Skill of Diagnostic Reasoning Processes,
CVPR13(2187-2194)
IEEE DOI 1309
Visual attention BibRef

Arias, J.[Jacinto], Martínez-Gómez, J.[Jesus], Gámez, J.A.[Jose A.], de Herrera, A.G.S.[Alba G. Seco], Müller, H.[Henning],
Medical image modality classification using discrete Bayesian networks,
CVIU(151), No. 1, 2016, pp. 61-71.
Elsevier DOI 1610
Medical image analysis. I.e. is it X-ray, gene sequence, etc. BibRef

Feng, Q., Zhou, Y.,
Kernel Combined Sparse Representation for Disease Recognition,
MultMed(18), No. 10, October 2016, pp. 1956-1968.
IEEE DOI 1610
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Edwards, J.,
Signal Processing at the Heart of a Health-Care Renaissance: As people live longer, new technologies promise better and less costly diagnostic services,
SPMag(33), No. 6, November 2016, pp. 8-11.
IEEE DOI 1609
[Special Reports] Biomedical signal processing; Globalization; Medical services BibRef

Baytas, I.M., Lin, K., Wang, F., Jain, A.K., Zhou, J.,
PhenoTree: Interactive Visual Analytics for Hierarchical Phenotyping From Large-Scale Electronic Health Records,
MultMed(18), No. 11, November 2016, pp. 2257-2270.
IEEE DOI 1609
data analysis BibRef

Hu, Y.X.[Yu-Xing], Ma, B.[Bozhi], Hao, H.W.[Hong-Wei], Li, L.M.[Lu-Ming],
Intermediate multimedia node: Implantable spinal cord stimulator,
JVCIR(41), No. 1, 2016, pp. 15-20.
Elsevier DOI 1612
Intermediate BibRef

Wang, J.[Jin], She, M.[Mary],
Probabilistic Latent Semantic Analysis for Multichannel Biomedical Signal Clustering,
SPLetters(23), No. 12, December 2016, pp. 1821-1824.
IEEE DOI 1612
medical signal processing. (pLSA) BibRef

Pezeshk, A., Petrick, N., Chen, W., Sahiner, B.,
Seamless Lesion Insertion for Data Augmentation in CAD Training,
MedImg(36), No. 4, April 2017, pp. 1005-1015.
IEEE DOI 1704
Biomedical imaging BibRef

Li, X., Jha, A.K., Ghaly, M., Elshahaby, F.E.A., Links, J.M., Frey, E.C.,
Use of Sub-Ensembles and Multi-Template Observers to Evaluate Detection Task Performance for Data That are Not Multivariate Normal,
MedImg(36), No. 4, April 2017, pp. 917-929.
IEEE DOI 1704
Computational modeling BibRef

Ko, M.S.[Min-Su], Kim, Y.J.[Yong-Jung],
Resistivity Tensor Imaging via Network Discretization of Faraday's Law,
SIIMS(10), No. 1, 2017, pp. 1-25.
DOI Link 1704
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Cai, Y.L.[Yun-Liang], Lum, A.[Andrea], Mercado, A.[Ashley], Landis, M.[Mark], Warrington, J.[James], Li, S.[Shuo],
Unsupervised shape discovery using synchronized spectral networks,
PR(69), No. 1, 2017, pp. 39-51.
Elsevier DOI 1706
Spectral synchronization BibRef

Li, S., Lum, A., Brahm, G., Ben Nachum, I., Sharma, M., Shmuilovich, O., Warrington, J.,
A Bag-of-shapes descriptor for medical imaging,
ICIP16(2316-2320)
IEEE DOI 1610
Biomedical imaging BibRef

Edwards, J.,
Innovative Sensors Promise Longer and Healthier Lives: Signal processing leads to devices that provide faster and more insightful monitoring and diagnoses,
SPMag(34), No. 4, July 2017, pp. 14-17.
IEEE DOI 1708
Biomedical monitoring, Diseases, Magnetic sensors, Medical devices, Sensors, Temperature sensors, Tracking BibRef

Zhang, J.[Jing], Lu, S.[Songhan], Wang, X.[Xiangzhou], Du, X.H.[Xiao-Hui], Ni, G.M.[Guang-Ming], Liu, J.[Juanxiu], Liu, L.[Lin], Liu, Y.[Yong],
Automatic identification of fungi in microscopic leucorrhea images,
JOSA-A(34), No. 9, September 2017, pp. 1484-1489.
DOI Link 1709
Image recognition, algorithms and filters, neural networks BibRef

Shrivastava, S.[Shubhangi], Raj, A.N.J.[Alex Noel Joseph],
A vision-based non-contact area and volume estimation of irregular structures towards applications in wound measurement,
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DOI Link 1709
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Grenier, P.A., Brun, L., Villemin, D.,
Taking into account stereoisomerism in the prediction of molecular properties,
ICPR16(1542-1547)
IEEE DOI 1705
Carbon, Encoding, Indexes, Kernel, Labeling, Pattern recognition, Support vector machines BibRef

Kromp, F., Ambros, I., Weiss, T., Bogen, D., Dodig, H., Berneder, M., Gerber, T., Taschner-Mandl, S., Ambros, P., Hanbury, A.,
Machine learning framework incorporating expert knowledge in tissue image annotation,
ICPR16(343-348)
IEEE DOI 1705
Algorithm design and analysis, Biological tissues, Image segmentation, Machine learning algorithms, Morphology, Prediction algorithms, image annotation, machine learning, online, training BibRef

Reguig, F.B.,
Photoplethysmogram signal analysis for detecting vital physiological parameters: An evaluating study,
ISIVC16(167-173)
IEEE DOI 1704
Band-pass filters BibRef

Afef, C.[Cherni], Émilie, C.[Chouzenoux], Marc-André, D.[Delsuc],
Proximity operators for a class of hybrid sparsity: entropy priors application to dosy NMR signal reconstruction,
ISIVC16(120-125)
IEEE DOI 1704
Context BibRef

Nijholt, A., Minuto, A.,
Smart material interfaces: Playful and artistic applications,
IVPR17(1-6)
IEEE DOI 1704
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And: A1, Only:
Plenary speaker: Smart material interfaces: Playful and artistic applications,
IVPR17(1-1)
IEEE DOI 1704
Atomic measurements Biomedical imaging BibRef

Adnan, M.M.R., Zohora, F.T., Tasnim, M., Debnath, S., Tumpa, S.A.,
Portable implementation of profuse perspiration indicator for use in disease symptom detection,
IVPR17(1-5)
IEEE DOI 1704
Electrical resistance measurement BibRef

Miskon, A.B.,
Keynote speaker: An engineered microenvironment for manipulating cells in tissue regeneration: A way towards the development of bioartificial organs using mesenchymal stem cell,
IVPR17(1-1)
IEEE DOI 1704
Biographies;Innovation management;Tissue engineering BibRef

Sen, R., Sarkar, A.K., Sarker, P.C., Paul, L.C., Rashid, M.M.U.,
RF absorption in biological tissue at varying distances and angles and rapport to tissue impedance,
IVPR17(1-5)
IEEE DOI 1704
Absorption BibRef

Ghani, M.U.[Muhammad Usman], Erdil, E.[Ertunç], Kanik, S.D.[Sümeyra Demir], Argunsah, A.Ö.[Ali Özgür], Hobbiss, A.F.[Anna Felicity], Israely, I.[Inbal], Ünay, D.[Devrim], Tasdizen, T.[Tolga], Çetin, M.[Müjdat],
Dendritic Spine Shape Analysis: A Clustering Perspective,
BioImage16(I: 256-273).
Springer DOI 1611
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Soran, B.[Bilge], Lowes, L.[Linda], Steele, K.M.[Katherine M.],
Evaluation of Infants with Spinal Muscular Atrophy Type-I Using Convolutional Neural Networks,
ACVR16(II: 495-507).
Springer DOI 1611
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Yoda, I.[Ikushi], Shiroyama, M.[Momo],
Medutainment-Based AR Rally: Disaster Medical Learning Tool for Citizens,
VAMR16(574-583).
Springer DOI 1608
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Ortegon-Sarmiento, T.[Tatiana], Uribe-Quevedo, A.[Alvaro], Perez-Gutierrez, B.[Byron], Vega-Medina, L.[Lizeth], Tibamoso, G.[Gerardo],
Hand Tracking and Haptic-Based Jugular Neonate Central Venous Access Procedure,
VAMR16(521-531).
Springer DOI 1608
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Tibamoso, G.[Gerardo], Medina-Papagayo, S.[Sergio], Vega-Medina, L.[Lizeth], Perez-Gutierrez, B.[Byron], Uribe-Quevedo, A.[Alvaro],
3DUI Electronic Syringe for Neonate Central Venous Access Procedure Simulation,
VAMR16(565-573).
Springer DOI 1608
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Aljaaf, A.J., Al-Jumeily, D., Hussain, A.J., Fergus, P., Al-Jumaily, M., Radi, N.,
Applied machine learning classifiers for medical applications: Clarifying the behavioural patterns using a variety of datasets,
WSSIP15(228-232)
IEEE DOI 1603
decision support systems BibRef

Keivanian, F., Mehrshad, N.,
Intelligent feature subset selection with unspecified number for body fat prediction based on binary-GA and Fuzzy-Binary-GA,
IPRIA15(1-7)
IEEE DOI 1603
fats BibRef

Rezaeian, M., Hossein-Zadeh, G.A., Soltanian-Zadeh, H.,
Quantification of the CEST effect by Gaussian mixture modeling of Z-spectrum,
IPRIA15(1-6)
IEEE DOI 1603
CEST: chemical exchange saturation transfer. Gaussian distribution BibRef

Al-Qahtani, M., Amira, A., Ramzan, N.,
An efficient information retrieval technique for e-health systems,
WSSIP15(257-260)
IEEE DOI 1603
electronic health records BibRef

Al-Jumeily, D., Hussain, A., MacDermott, Á., Murphy, J.,
Improving the barrier of communication between healthcare professionals and their patients using a Prescription Tracking System,
WSSIP15(282-286)
IEEE DOI 1603
biomedical communication BibRef

Kisilev, P.[Pavel], Walach, E.[Eugene], Hashoul, S.[Sharbell], Barkan, E.[Ella], Ophir, B.[Boaz], Alpert, S.[Sharon],
Semantic Description of Medical Image Findings: Structured Learning approach,
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Kalemi, E.[Edlira], Martiri, E.[Edlira], Manaj, B.[Brunela], Prifti, D.[Dionis],
DicomPrint, an Application for Managing DICOM Images,
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Springer DOI 1511
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Zabih, R.[Ramin],
Research opportunities in creating medical images,
MVA15(418-421)
IEEE DOI 1507
Biomedical imaging BibRef

Garg, S.[Sanyam], Ramprasaath, R.S., Kapur, S.[Suman], Rao, K.M.M.[Kunda M.M.],
Automated colorimetric analysis in paper based sensors,
ICIP14(3607-3611)
IEEE DOI 1502
Blood. Color analysis of paper used to collect samples. BibRef

Rzepecki, J.[Jan], Vaquero, R.M.M.[Ricardo Manuel Millán], Vais, A.[Alexander], Friese, K.I.[Karl-Ingo], Wolter, F.E.[Franz-Erich],
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Gass, T.[Tobias], Szekely, G.[Gabor], Goksel, O.[Orcun],
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Tan, C.W.[Chao-Wei], Yan, Z.N.[Zhen-Nan], Zhang, S.T.[Shao-Ting], Belaroussi, B.[Boubakeur], Yu, H.J.[Hui Jing], Miller, C.[Colin], Metaxas, D.N.[Dimitris N.],
An Automated and Robust Framework for Quantification of Muscle and Fat in the Thigh,
ICPR14(3173-3178)
IEEE DOI 1412
Bones BibRef

Cairco Dukes, L., Bertrand, J., Gupta, M., Armstrong, R., Fasolino, T., Babu, S., Hodges, L.F.,
Comparing usability of a single versus dual interaction metaphor in a multitask healthcare simulation,
3DUI13(133-134)
IEEE DOI 1406
data recording BibRef

Lu, L.[Le], Devarakota, P.[Pandu], Vikal, S.[Siddharth], Wu, D.[Dijia], Zheng, Y.F.[Ye-Feng], Wolf, M.[Matthias],
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Brilhador, A.[Anderson], Colonhezi, T.P.[Thiago P.], Bugatti, P.H.[Pedro H.], Lopes, F.M.[Fabrício M.],
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Springer DOI 1311
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Hurtado-Cortegana, A.[Alicia], Ferri, F.J.[Francesc J.], Diaz-Villanueva, W.[Wladimiro], Morell, C.[Carlos],
Drug Activity Characterization Using One-Class Support Vector Machines with Counterexamples,
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Varjo, S.[Sami], Hannuksela, J.[Jari],
A Mobile Imaging System for Medical Diagnostics,
ACIVS13(215-226).
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Oronoz, M.[Maite], Casillas, A.[Arantza], Gojenola, K.[Koldo], Perez, A.[Alicia],
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d'Amico, G.[Gianpaolo], Landucci, L.[Lea], Pezzatini, D.[Daniele],
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SBA13(501-508).
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Jiang, X.Y.[Xiao-Yi], Dawood, M.[Mohammad], Gigengack, F.[Fabian],
Biomedical Imaging: A Computer Vision Perspective,
CAIP13(1-19).
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Xu, S.X.[Shu-Xiang], Liu, Y.L.[Yun-Ling],
HONNs with ELM algorithm for medical applications,
ICARCV12(1215-1219).
IEEE DOI 1304
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Joshi, J.[Jyoti], Dhall, A.[Abhinav], Goecke, R.[Roland], Breakspear, M.[Michael], Parker, G.[Gordon],
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Wang, F.[Fei], Hu, J.Y.[Jian-Ying], Sun, J.M.[Ji-Meng],
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Otitis media vocabulary and grammar,
ICIP12(2845-2848).
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diagnostic categories of otitis media BibRef

Pogorelc, B.[Bogdan], Gams, M.[Matjaž],
Recognition of Patterns of Health Problems and Falls in the Elderly Using Data Mining,
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Supervised Content Based Image Retrieval Using Radiology Reports,
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Automatic Medical Image Analysis and Potential Impact in India,
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Ding, J.J.[Jian-Jiun], Wang, Y.H.[Yu-Hsiang], Hu, L.L.[Lee-Lin], Chao, W.L.[Wei-Lun], Shau, Y.W.[Yio-Wha],
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Automatic Search of Nursing Diagnoses,
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Canetta, E.[Elisabetta], Adya, A.K.[Ashok K.],
Nano-imaging and Its Applications to Biomedicine,
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A Novel T-CAD Framework to Support Medical Image Analysis and Reconstruction,
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Atine, J.,
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A Constraint Based Method for Optimization in Metabolic Pathways,
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Noah, S.A.[Shahrul Azman], Yaakob, S.[Suraya], Shahar, S.[Suzana],
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Noumeir, R.[Rita], Pambrun, J.F.[Jean-Francois],
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Dougherty, G.,
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Deng, J.D.,
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Donohue, R., Shearer, A., Bruzzi, J.,
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Rajendran, P., Madheswaran, M.,
Pruned Associative Classification Technique for the Medical Image Diagnosis System,
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Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Medical Applications, Microscope Image Analysis .


Last update:Sep 25, 2017 at 16:36:46