21.6 Medical Applications -- Surgery

Chapter Contents (Back)
Surgery. Medical, Applications.
See also Surgical Instruments, Detection, Tracking.
See also Brain Surgery.

Claron Technology Inc.,
2001.
WWW Link. Vendor, Surgery. Vendor, Image Analysis. Vision technology for medical applications. Toronto. 3-D models and tracking for surgery.

Saffer, J.R., Barrett, H.H., Barber, H.B., Woolfenden, J.M.,
Surgical probe design for a coincidence imaging system without a collimator,
IVC(10), No. 6, July-August 1992, pp. 333-341.
Elsevier DOI 0401
BibRef

Taylor, R.H., Mittelstadt, B.D., Paul, H.A., Hanson, W., Kazanzides, P., Zuhars, J.F., Williamson, B., Musits, B.L., Glassman, E., Bargar, W.L.,
An Image-Directed Robotic System For Precise Orthopedic-Surgery,
RA(10), No. 3, June 1994, pp. 261-275. BibRef 9406

Golland, P., Kikinis, R., Halle, M., Umans, C., Grimson, W.E.L., Shenton, M.E., Richolt, J.A.,
AnatomyBrowser: A novel approach to visualization and integration of medical information,
Computer Aided Surgery(4), 1999, pp. 129-143.
PDF File. BibRef 9900

Gering, D., Nabavi, A., Kikinis, R., Hata, N., O'Donnell, L., Grimson, W.E.L., Jolesz, F., Black, P., Wells, III, W.M.[William M.],
An integrated visualization system for surgical planning and guidance using image fusion and an open MR,
JMRI(13), 2001, pp. 967-975.
PDF File. BibRef 0100

Grimson, W.E.L., Ettinger, G.J., White, S.J., Gleason, P.L., Lozano-Perez, T., Wells, III, W.M., Kikinis, R.,
Evaluating and Validating an Automated Registration System for Enhanced Reality Visualization in Surgery,
CVRMed95(XX-YY) BibRef 9500

Ettinger, G.J., Grimson, W.E.L., Kikinis, R., Lozano-Perez, T., Wells, III, W.M., White, S.J.,
Automated Registration for Visualization in Surgery,
ARPA94(II:809-815). BibRef 9400

Grimson, W.E.L., Lozano-Perez, T., Wells, III, W.M., Ettinger, G.J., White, S.J., and Kikinis, R.,
An Automatic Registration Method for Frameless Stereotaxy, Image Guided Surgery and Enhanced Reality Visualization,
MedImg(15), No. 2, April 1996, pp. 129-140.
IEEE Top Reference.
PDF File. BibRef 9604
Earlier: A1, A2, A3, A4, A5 Only: CVPR94(430-436).
IEEE DOI Pose Estimation. Application, Medical.
PS File.
See also Adaptive segmentation of MRI data. BibRef

Grimson, W.E.L., Leventon, M.E., Faugeras, O.D., Wells, III, W.M.,
Computer Vision Methods for Image Guided Surgery,
BMVC00(xx-yy).
PDF File. 0009
BibRef

Grosskopf, S., Hildebrand, A., Malkewitz, R., Müller, W., Ziegler, R., Graschew, G.,
Computer-Aided Surgery: Vision and Feasibility of an Advanced Operation Theater,
Computers&Graphics(20), No. 6, November/December 1996, pp. 825-838. 9701
BibRef

Zhao, S., Robeltson, D.D., Wang, G., Whiting, B., Bae, K.T.,
X-ray CT metal artifact reduction using wavelets: An application for imaging total hip prostheses,
MedImg(19), No. 12, December 2000, pp. 1238-1247.
IEEE Top Reference. 0110
BibRef

Birkfellner, W., Huber, K., Larson, A., Hanson, D., Diemling, M., Homolka, P., Bergmann, H.,
A modular software system for computer-aided surgery and its first application in oral implantology,
MedImg(19), No. 6, June 2000, pp. 616-620.
IEEE Top Reference. 0110
BibRef

Edwards, P.J., King, A.P., Maurer, Jr., C.R., de Cunha, D.A., Hawkes, D.J., Hill, D.L.G., Gaston, R.P., Fenlon, M.R., Jusczyzck, A., Strong, A.J., Chandler, C.L., Gleeson, M.J.,
Design and evaluation of a system for microscope-assisted guided interventions (MAGI),
MedImg(19), No. 11, November 2000, pp. 1082-1093.
IEEE Top Reference. 0110
BibRef

Rohlfing, T.[Torsten], Denzler, J.[Joachim], Russakoff, D.B.[Daniel B.], Gräßl, C.[Christoph], Maurer, Jr., C.R.[Calvin R.],
Markerless Real-Time Target Region Tracking: Application to Frameless Sterotactic Radiosurgery,
VMV04(5-12). 0411
BibRef

Valstar, E.R.[Edward R.], Botha, C.P.[Charl P.], van der Glas, M.[Marjolein], Rozing, P.M.[Piet M.], van der Helm, F.C.T.[Frans C.T.], Post, F.H.[Frits H.], Vossepoel, A.M.[Albert M.],
Towards computer-assisted surgery in shoulder joint replacement,
PandRS(56), No. 5-6, August 2002, pp. 326-337.
HTML Version. 0208
BibRef

Broers, H., Hemken, H., Luhmann, T., Ritschl, P.,
Photogrammetric calibration of a C-arm X-ray system as a verification tool for orthopaedic navigation systems,
PandRS(56), No. 5-6, August 2002, pp. 338-346.
HTML Version. 0208
BibRef

Birkfellner, W., Figl, M., Huber, K., Watzinger, F., Wanschitz, F., Hummel, J., Hanel, R., Greimel, W., Homolka, P., Ewers, R., Bergmann, H.,
A head-mounted operating binocular for augmented reality visualization in medicine-design and initial evaluation,
MedImg(21), No. 8, August 2002, pp. 991-997.
IEEE Top Reference. 0301
BibRef

Selle, D., Preim, B., Schenk, A., Peitgen, H.O.,
Analysis of vasculature for liver surgical planning,
MedImg(21), No. 11, November 2002, pp. 1344-1357.
IEEE Top Reference. 0301
BibRef

Suzuki, S., Suzuki, N., Hattori, A., Uchiyama, A., Kobayashi, S.,
Sphere-Filled Organ Model for Virtual Surgery System,
MedImg(23), No. 6, June 2004, pp. 714-722.
IEEE Abstract. 0406
BibRef

Vogt, S.[Sebastian], Khamene, A.[Ali], Sauer, F.[Frank],
Reality Augmentation for Medical Procedures: System Architecture, Single Camera Marker Tracking, and System Evaluation,
IJCV(70), No. 2, November 2006, pp. 179-190.
Springer DOI 0608
BibRef

Gary, K., Ibanez, L., Aylward, S., Gobbi, D., Blake, M.B., Cleary, K.,
IGSTK: an open source software toolkit for image-guided surgery,
Computer(39), No. 4, April 2006, pp. 46-53.
IEEE DOI 0604
Code, Surgery. BibRef

Wang, Z.L.[Zhen-Lan], Chui, C.K.[Chee-Kong], Cai, Y.Y.[Yi-Yu], Ang, C.H.[Chuan-Heng], Teoh, S.H.[Swee-Hin],
Dynamic Linear Level Octree-based Volume Rendering Methods For Interactive Microsurgical Simulation,
IJIG(6), No. 2, April 2006, pp. 155-171. 0604
BibRef

Riviere, C.N., Gangloff, J., de Mathelin, M.,
Robotic Compensation of Biological Motion to Enhance Surgical Accuracy,
PIEEE(94), No. 9, September 2006, pp. 1705-1716.
IEEE DOI 0609
BibRef

Davies, B., Jakopec, M., Harris, S.J., Rodriguez y Baena, F., Barrett, A., Evangelidis, A., Gomes, P., Henckel, J., Cobb, J.,
Active-Constraint Robotics for Surgery,
PIEEE(94), No. 9, September 2006, pp. 1696-1704.
IEEE DOI 0609
BibRef

Jaramaz, B., Hafez, M.A., DiGioia, A.M.,
Computer-Assisted Orthopaedic Surgery,
PIEEE(94), No. 9, September 2006, pp. 1689-1695.
IEEE DOI 0609
BibRef

Delingette, H., Pennec, X., Soler, L., Marescaux, J., Ayache, N.J.,
Computational Models for Image-Guided Robot-Assisted and Simulated Medical Interventions,
PIEEE(94), No. 9, September 2006, pp. 1678-1688.
IEEE DOI 0609
BibRef

Troccaz, J., Baumann, M., Berkelman, P., Cinquin, P., Daanen, V., Leroy, A., Marchal, M., Payan, Y., Promayon, E., Voros, S., Bart, S., Bolla, M., Chartier-Kastler, E., Descotes, J.L., Dusserre, A., Giraud, J.Y., Long, J.A., Moalic, R., Mozer, P.,
Medical Image Computing and Computer-Aided Medical Interventions Applied to Soft Tissues: Work in Progress in Urology,
PIEEE(94), No. 9, September 2006, pp. 1665-1677.
IEEE DOI 0609
BibRef

Taylor, R.H.,
A Perspective on Medical Robotics,
PIEEE(94), No. 9, September 2006, pp. 1652-1664.
IEEE DOI 0609
BibRef

Taylor, Z.A., Cheng, M., Ourselin, S.,
High-Speed Nonlinear Finite Element Analysis for Surgical Simulation Using Graphics Processing Units,
MedImg(27), No. 5, May 2008, pp. 650-663.
IEEE DOI 0711
BibRef

Taylor, Z.A., Crozier, S., Ourselin, S.,
A Reduced Order Explicit Dynamic Finite Element Algorithm for Surgical Simulation,
MedImg(30), No. 9, September 2011, pp. 1713-1721.
IEEE DOI 1109
BibRef

Alterovitz, R.[Ron], Goldberg, K.[Ken],
Motion Planning in Medicine: Optimization and Simulation Algorithms for Image-Guided Procedures,
Springer-Verlag2008. ISBN: 978-3-540-69257-7.
WWW Link. Buy this book: Motion Planning in Medicine: Optimization and Simulation Algorithms for Image-Guided Procedures (Springer Tracts in Advanced Robotics) BibRef 0800

Mu, Z.P.[Zhi-Ping], Fu, D.S.[Dong-Shan], Kuduvalli, G.[Gopinath],
A Probabilistic Framework Based on Hidden Markov Model for Fiducial Identification in Image-Guided Radiation Treatments,
MedImg(27), No. 9, September 2008, pp. 1288-1300.
IEEE DOI 0809
BibRef
Earlier:
Multiple Fiducial Identification Using the Hidden Markov Model in Image Guided Radiosurgery,
MMBIA06(92).
IEEE DOI 0609
BibRef

Nesme, M.[Matthieu], Faure, F.[FranÇois], Payan, Y.[Yohan],
Accurate Interactive Animation of Deformable Models At Arbitrary Resolution,
IJIG(10), No. 2, April 2010, pp. 175-202.
DOI Link 1003
Simulating surgery with patient specific models. BibRef

Navab, N., Heining, S.M., Traub, J.,
Camera Augmented Mobile C-Arm (CAMC): Calibration, Accuracy Study, and Clinical Applications,
MedImg(29), No. 7, July 2010, pp. 1412-1423.
IEEE DOI 1007
BibRef

Zhang, J., Yan, C.H., Chui, C.K., Ong, S.H., Wang, S.C.,
Multimodal image registration system for image-guided orthopaedic surgery,
MVA(22), No. 5, September 2011, pp. 851-863.
WWW Link. 1108
BibRef

Otake, Y., Armand, M., Armiger, R.S., Kutzer, M.D., Basafa, E., Kazanzides, P., Taylor, R.H.,
Intraoperative Image-based Multiview 2D/3D Registration for Image-Guided Orthopaedic Surgery: Incorporation of Fiducial-Based C-Arm Tracking and GPU-Acceleration,
MedImg(31), No. 4, April 2012, pp. 948-962.
IEEE DOI 1204
BibRef

Dohi, T.[Takeyoshi], Liao, H.[Hongen], (Eds.)
Computer Aided Surgery,
Springer2012, ISBN: 978-4-431-54093-9
WWW Link.

1205
7th Asian Conference on Computer Aided Surgery, Bangkok, Thailand, August 2011. BibRef

Thiemjarus, S., James, A., Yang, G.Z.,
An eye-hand data fusion framework for pervasive sensing of surgical activities,
PR(45), No. 8, August 2012, pp. 2855-2867.
Elsevier DOI 1204
Activity recognition; Eye-hand coordination; Feature selection; Multi-objective feature selection; Multi-objective BFFS; Surgical workflow classification BibRef

Wang, L., Fallavollita, P., Zou, R., Chen, X., Weidert, S., Navab, N.,
Closed-Form Inverse Kinematics for Interventional C-Arm X-Ray Imaging With Six Degrees of Freedom: Modeling and Application,
MedImg(31), No. 5, May 2012, pp. 1086-1099.
IEEE DOI 1202
BibRef

Navab, N., Blum, T., Wang, L.[Lejing], Okur, A., Wendler, T.,
First Deployments of Augmented Reality in Operating Rooms,
Computer(45), No. 7, July 2012, pp. 48-55.
IEEE DOI 1208
BibRef

Sharkey, N.[Noel], Sharkey, A.[Amanda],
Robotic Surgery: On the Cutting Edge of Ethics,
Computer(46), No. 1, January 2013, pp. 56-64.
IEEE DOI 1302
BibRef

Thompson, S., Penney, G.P., Dasgupta, P., Hawkes, D.J.,
Improved Modelling of Tool Tracking Errors by Modelling Dependent Marker Errors,
MedImg(32), No. 2, February 2013, pp. 165-177.
IEEE DOI 1301
BibRef

Heibel, H., Glocker, B., Groher, M., Pfister, M., Navab, N.[Nassir],
Interventional Tool Tracking Using Discrete Optimization,
MedImg(32), No. 3, March 2013, pp. 544-555.
IEEE DOI 1303
BibRef

Celik, H., Mahcicek, D.I., Senel, O.K., Wright, G.A., Atalar, E.,
Tracking the Position and Rotational Orientation of a Catheter Using a Transmit Array System,
MedImg(32), No. 4, April 2013, pp. 809-817.
IEEE DOI 1304
BibRef

Rasool, S.[Shahzad], Sourin, A.[Alexei],
Image-driven virtual simulation of arthroscopy,
VC(29), No. 5, May 2013, pp. 333-344.
WWW Link. 1305
BibRef

Xia, P.J.[Ping-Jun], Lopes, A.M.[António Mendes], Restivo, M.T.[Maria Teresa],
Virtual reality and haptics for dental surgery: a personal review,
VC(29), No. 5, May 2013, pp. 433-447.
WWW Link. 1305
BibRef

Ahmadian, A.[Alireza], Serej, N.D.[Nasim Dadashi], Karimifard, S.[Saeed], Farnia, P.[Parastoo],
An efficient method for estimating soft tissue deformation based on intraoperative stereo image features and point-based registration,
IJIST(23), No. 4, 2013, pp. 294-303.
DOI Link 1312
soft tissue BibRef

Yang, B.[Bo], Wong, W.K.[Wai-Keung], Liu, C.[Chao], Poignet, P.[Philippe],
3D soft-tissue tracking using spatial-color joint probability distribution and thin-plate spline model,
PR(47), No. 9, 2014, pp. 2962-2973.
Elsevier DOI 1406
Robotic surgery BibRef

Kirkpatrick, K.[Keith],
Surgical Robots Deliver Care More Precisely,
CACM(56), No. 8, August 2014, pp. 14-16.
DOI Link 1408
Computer-controlled robotic surgical systems and tumor-targeting radiation systems provide a greater level of precision in treatment than doctors alone can provide. BibRef

Elayaperumal, S., Plata, J.C., Holbrook, A.B., Park, Y.L.[Yong-Lae], Pauly, K.B., Daniel, B.L., Cutkosky, M.R.,
Autonomous Real-Time Interventional Scan Plane Control With a 3-D Shape-Sensing Needle,
MedImg(33), No. 11, November 2014, pp. 2128-2139.
IEEE DOI 1411
Biposy needle. MRI sensors. Bragg gratings BibRef

Jacob, M.G.[Mithun George], Wachs, J.P.[Juan Pablo],
Context-based hand gesture recognition for the operating room,
PRL(36), No. 1, 2014, pp. 196-203.
Elsevier DOI 1312
Continuous gesture recognition BibRef

Jacob, M.G.[Mithun G.], Cange, C.[Christopher], Packer, R.[Rebecca], Wachs, J.P.[Juan P.],
Intention, Context and Gesture Recognition for Sterile MRI Navigation in the Operating Room,
CIARP12(220-227).
Springer DOI 1209
BibRef

Neumann, D., Grbic, S., John, M., Navab, N., Hornegger, J., Ionasec, R.,
Probabilistic Sparse Matching for Robust 3D/3D Fusion in Minimally Invasive Surgery,
MedImg(34), No. 1, January 2015, pp. 49-60.
IEEE DOI 1502
biological organs BibRef

Vetter, C., Lasser, T., Okur, A., Navab, N.,
1D-3D Registration for Intra-Operative Nuclear Imaging in Radio-Guided Surgery,
MedImg(34), No. 2, February 2015, pp. 608-617.
IEEE DOI 1502
Detectors BibRef

Zhang, Q.A.[Qi-Ang], Li, B.X.[Bao-Xin],
Relative Hidden Markov Models for Video-Based Evaluation of Motion Skills in Surgical Training,
PAMI(37), No. 6, June 2015, pp. 1206-1218.
IEEE DOI 1506
BibRef
Earlier:
Relative Hidden Markov Models for Evaluating Motion Skill,
CVPR13(548-555)
IEEE DOI 1309
HMM; motion skill; relative; surgical simulation Analytical models. BibRef

Yan, P., Cao, Y., Yuan, Y., Turkbey, B., Choyke, P.L.,
Label Image Constrained Multiatlas Selection,
Cyber(45), No. 6, June 2015, pp. 1158-1168.
IEEE DOI 1506
Anatomical structure BibRef

Haouchine, N., Cotin, S.[Stéphane],
Template-Based Monocular 3D Recovery of Elastic Shapes Using Lagrangian Multipliers,
CVPR17(3578-3586)
IEEE DOI 1711
Deformable models, Finite element analysis, Mathematical model, Minimization, Shape, Strain, BibRef

Paulus, C.J.[Christoph J.], Untereiner, L.[Lionel], Courtecuisse, H.[Hadrien], Cotin, S.[Stéphane], Cazier, D.[David],
Virtual cutting of deformable objects based on efficient topological operations,
VC(31), No. 6-8, June 2015, pp. 831-841.
Springer DOI 1506
Simulating surgery. BibRef

Pan, J.J.[Jun-Jun], Zhao, C.K.[Cheng-Kai], Zhao, X.[Xin], Hao, A.[Aimin], Qin, H.[Hong],
Metaballs-based physical modeling and deformation of organs for virtual surgery,
VC(31), No. 6-8, June 2015, pp. 947-957.
Springer DOI 1506
Simulating surgery. BibRef

Nosrati, M.S.[Masoud S.], Abugharbieh, R., Peyrat, J.M., Abinahed, J., Al-Alao, O., Al-Ansari, A., Hamarneh, G.,
Simultaneous Multi-Structure Segmentation and 3D Nonrigid Pose Estimation in Image-Guided Robotic Surgery,
MedImg(35), No. 1, January 2016, pp. 1-12.
IEEE DOI 1601
Cameras BibRef

Nosrati, M.S.[Masoud S.],
Prior Knowledge for Targeted Object Segmentation in Medical Images,
Ph.D.Thesis, Simon Fraser University, 2016. 1612
Award, CIPPRS Doctoral Dissertation. BibRef

Hoffmann, M., Brost, A., Koch, M., Bourier, F., Maier, A., Kurzidim, K., Strobel, N., Hornegger, J.,
Electrophysiology Catheter Detection and Reconstruction From Two Views in Fluoroscopic Images,
MedImg(35), No. 2, February 2016, pp. 567-579.
IEEE DOI 1602
Catheters BibRef

Zhong, X.[Xia], Hoffmann, M.[Matthias], Strobel, N.[Norbert], Maier, A.[Andreas],
Semi-Automatic Basket Catheter Reconstruction from Two X-Ray Views,
GCPR15(379-389).
Springer DOI 1511
BibRef

Kim, H.G.[Hwi Gang], Bae, T.W.[Tae Wuk], Kim, K.H.[Kyu Hyung], Lee, H.S.[Hyung Soo], Lee, S.I.[Soo In],
Follicular Unit Classification Method Using Angle Variation of Boundary Vector for Automatic Hair Implant System,
ETRI(38), No. 1, February 2016, pp. 195-205.
DOI Link 1602
BibRef

Knez, D., Likar, B., Pernuš, F., Vrtovec, T.,
Computer-Assisted Screw Size and Insertion Trajectory Planning for Pedicle Screw Placement Surgery,
MedImg(35), No. 6, June 2016, pp. 1420-1430.
IEEE DOI 1606
Deformable models BibRef

Kurzendorfer, T., Mewes, P.W., Maier, A., Strobel, N., Brost, A.,
Cryo-Balloon Catheter Localization Based on a Support-Vector-Machine Approach,
MedImg(35), No. 8, August 2016, pp. 1892-1902.
IEEE DOI 1608
Catheters BibRef

Andersen, D.[Daniel], Popescu, V.[Voicu], Cabrera, M.E.[Maria Eugenia], Shanghavi, A.[Aditya], Gomez, G.[Gerardo], Marley, S.[Sherri], Mullis, B.[Brian], Wachs, J.[Juan],
Virtual annotations of the surgical field through an augmented reality transparent display,
VC(32), No. 11, November 2016, pp. 1481-1498.
Springer DOI 1611
BibRef

Collins, J.A., Weis, J.A., Heiselman, J.S., Clements, L.W., Simpson, A.L., Jarnagin, W.R., Miga, M.I.,
Improving Registration Robustness for Image-Guided Liver Surgery in a Novel Human-to-Phantom Data Framework,
MedImg(36), No. 7, July 2017, pp. 1502-1510.
IEEE DOI 1707
Computed tomography, Liver, Phantoms, Surface waves, Surgery, Ultrasonic imaging, Deformation, image guided surgery, liver, registration BibRef

Jones, G., Clancy, N.T., Helo, Y., Arridge, S.R., Elson, D.S., Stoyanov, D.[Danail],
Bayesian Estimation of Intrinsic Tissue Oxygenation and Perfusion From RGB Images,
MedImg(36), No. 7, July 2017, pp. 1491-1501.
IEEE DOI 1707
Attenuation, Cameras, Estimation, Lighting, Scattering, Surgery, Bayesian inference, Minimally invasive surgery, Multispectral imaging, biophotonics, surgical vision BibRef

Zou, Y., Liu, P.X., Cheng, Q., Lai, P., Li, C.,
A New Deformation Model of Biological Tissue for Surgery Simulation,
Cyber(47), No. 11, November 2017, pp. 3494-3503.
IEEE DOI 1710
Biological system modeling, Biological tissues, Computational modeling, Deformable models, Finite element analysis, Surgery, Medical simulation, modeling, robotic, surgery BibRef

Pesteie, M., Lessoway, V., Abolmaesumi, P., Rohling, R.N.,
Automatic Localization of the Needle Target for Ultrasound-Guided Epidural Injections,
MedImg(37), No. 1, January 2018, pp. 81-92.
IEEE DOI 1801
biomedical ultrasonics, learning (artificial intelligence), medical image processing, 2D images, 3D images, target localization BibRef

Jin, Y.M.[Yue-Ming], Dou, Q.[Qi], Chen, H.[Hao], Yu, L.Q.[Le-Quan], Qin, J.[Jing], Fu, C.W.[Chi-Wing], Heng, P.A.[Pheng-Ann],
SV-RCNet: Workflow Recognition From Surgical Videos Using Recurrent Convolutional Network,
MedImg(37), No. 5, May 2018, pp. 1114-1126.
IEEE DOI 1805
Computational modeling, Computer architecture, Feature extraction, Hidden Markov models, Surgery, Videos, very deep residual network BibRef

Jin, Y.M.[Yue-Ming], Long, Y.H.[Yong-Hao], Chen, C.[Cheng], Zhao, Z.X.[Zi-Xu], Dou, Q.[Qi], Heng, P.A.[Pheng-Ann],
Temporal Memory Relation Network for Workflow Recognition From Surgical Video,
MedImg(40), No. 7, July 2021, pp. 1911-1923.
IEEE DOI 2107
Surgery, Hidden Markov models, Feature extraction, Visualization, Training, Gallbladder, Tools, Surgical workflow recognition, non-local operation BibRef

Milstein, A., Ganel, T., Berman, S., Nisky, I.,
Human-Centered Transparency of Grasping via a Robot-Assisted Minimally Invasive Surgery System,
HMS(48), No. 4, August 2018, pp. 349-358.
IEEE DOI 1808
grippers, haptic interfaces, medical robotics, surgery, telerobotics, RAMIS, human-centered transparency, natural action, telerobotics BibRef

Porras, A.R., Paniagua, B., Ensel, S., Keating, R., Rogers, G.F., Enquobahrie, A., Linguraru, M.G.,
Locally Affine Diffeomorphic Surface Registration and Its Application to Surgical Planning of Fronto-Orbital Advancement,
MedImg(37), No. 7, July 2018, pp. 1690-1700.
IEEE DOI 1808
bone, computerised tomography, diseases, image registration, medical image processing, physiological models, surgery, registration BibRef

Jiang, G.W.[Guan-Wu], Luo, M.Z.[Min-Zhou], Bai, K.Q.[Ke-Qiang],
Optical positioning technology of an assisted puncture robot based on binocular vision,
IJIST(29), No. 2, June 2019, pp. 180-190.
WWW Link. 1906
Robot controlled assisted surgery. BibRef

Penner, D., Abrams, A.M.H., Overath, P., Vogt, J., Beckerle, P.,
Robotic Leg Illusion: System Design and Human-in-the-Loop Evaluation,
HMS(49), No. 4, August 2019, pp. 372-380.
IEEE DOI 1908
artificial limbs, biomechanics, haptic interfaces, human-robot interaction, mechatronics, medical robotics, robotic leg illusion (RobLI) BibRef

O'Malley, M.K., Byrne, M.D., Estrada, S., Duran, C., Schulz, D., Bismuth, J.,
Expert Surgeons Can Smoothly Control Robotic Tools With a Discrete Control Interface,
HMS(49), No. 4, August 2019, pp. 388-394.
IEEE DOI 1908
Robots, Surgery, Tools, Task analysis, Performance evaluation, Catheters, Medical robotics, motion analysis, human-robot interaction BibRef

van Oosterom, M.N., Meershoek, P., Welling, M.M., Pinto, F., Matthies, P., Simon, H., Wendler, T., Navab, N., van de Velde, C.J.H., van der Poel, H.G., van Leeuwen, F.W.B.,
Extending the Hybrid Surgical Guidance Concept With Freehand Fluorescence Tomography,
MedImg(39), No. 1, January 2020, pp. 226-235.
IEEE DOI 2001
Image-guided surgery, augmented reality, fluorescence tomography, surgical navigation, freehand SPECT, hybrid imaging BibRef

Grundgeiger, T., Wurmb, T., Happel, O.,
Statistical Modeling of Visual Attention of Junior and Senior Anesthesiologists During the Induction of General Anesthesia in Real and Simulated Cases,
HMS(50), No. 4, August 2020, pp. 317-326.
IEEE DOI 2007
Visualization, Task analysis, Data models, Monitoring, Anesthesia, Predictive models, Mathematical model, Attention allocation, simulation BibRef

Serrano Vergel, R., Morillo Tena, P., Casas Yrurzum, S., Cruz-Neira, C.,
A Comparative Evaluation of a Virtual Reality Table and a HoloLens-Based Augmented Reality System for Anatomy Training,
HMS(50), No. 4, August 2020, pp. 337-348.
IEEE DOI 2007
Training, Cadaver, TV, Augmented reality, Biomedical optical imaging, Hardware, Anatomy, augmented reality, comparative study, VR table BibRef

Torrents-Barrena, J., Piella, G., Gratacós, E., Eixarch, E., Ceresa, M., González Ballester, M.A.,
Deep Q-CapsNet Reinforcement Learning Framework for Intrauterine Cavity Segmentation in TTTS Fetal Surgery Planning,
MedImg(39), No. 10, October 2020, pp. 3113-3124.
IEEE DOI 2010
Cavity resonators, Magnetic resonance imaging, Feature extraction, Image segmentation, Motion segmentation, q-learning BibRef

Ai, D.[Danni], Zhao, Z.Q.[Zhi-Qi], Fan, J.F.[Jing-Fan], Song, H.[Hong], Qu, X.X.[Xiao-Xia], Xian, J.F.[Jun-Fang], Yang, J.[Jian],
Spatial probabilistic distribution map-based two-channel 3D U-net for visual pathway segmentation,
PRL(138), 2020, pp. 601-607.
Elsevier DOI 2010
Pre-op planning. BibRef

Torrents-Barrena, J., Piella, G., Valenzuela-Alcaraz, B., Gratacós, E., Eixarch, E., Ceresa, M., Ballester, M.A.G.[M. A. González],
TTTS-STgan: Stacked Generative Adversarial Networks for TTTS Fetal Surgery Planning Based on 3D Ultrasound,
MedImg(39), No. 11, November 2020, pp. 3595-3606.
IEEE DOI 2011
Image segmentation, Generative adversarial networks, Surgery, Pregnancy, Acoustics, generative adversarial networks BibRef

Chen, Y.W., Hsu, J.T., Hung, C.C., Wu, J.M., Lai, F., Kuo, S.Y.,
Surgical Wounds Assessment System for Self-Care,
SMCS(50), No. 12, December 2020, pp. 5076-5091.
IEEE DOI 2011
Wounds, Surgery, Skin, Feature extraction, Image color analysis, Biomedical monitoring, Cameras, Artificial intelligence (AI), health care service systems BibRef

Shi, W., Liu, P.X., Zheng, M.,
Bleeding Simulation With Improved Visual Effects for Surgical Simulation Systems,
SMCS(51), No. 2, February 2021, pp. 686-695.
IEEE DOI 2101
Mathematical model, Hemorrhaging, Surgery, Force, Blood, Approximation algorithms, Kernel, Bleeding simulation, smooth particle hydrodynamic (SPH) algorithm BibRef

Fotouhi, J., Mehrfard, A., Song, T., Johnson, A., Osgood, G., Unberath, M., Armand, M., Navab, N.,
Development and Pre-Clinical Analysis of Spatiotemporal-Aware Augmented Reality in Orthopedic Interventions,
MedImg(40), No. 2, February 2021, pp. 765-778.
IEEE DOI 2102
Surgery, Imaging, X-ray imaging, Visualization, Simultaneous localization and mapping, visualization BibRef

Sharma, S.[Saransh], Telikicherla, A.[Aditya], Ding, G.[Grace], Aghlmand, F.[Fatemeh], Talkhooncheh, A.H.[Arian Hashemi], Shapiro, M.G.[Mikhail G.], Emami, A.[Azita],
Wireless 3D Surgical Navigation and Tracking System With 100µm Accuracy Using Magnetic-Field Gradient-Based Localization,
MedImg(40), No. 8, August 2021, pp. 2066-2079.
IEEE DOI 2108
Magnetic fields, Magnetic resonance imaging, Location awareness, X-ray imaging, Bones, 3D BibRef

Yang, Z.R.[Zhi-Rong], Zhang, W.C.[Wen-Chuan],
Preoperative planning for jugular-foramen tumors: Preparation of a three-dimensional surgical drawing,
IJIST(32), No. 2, 2022, pp. 490-500.
DOI Link 2203
3D surgical atlas, drawing, jugular foramen region, tumor BibRef

Tukra, S.[Samyakh], Marcus, H.J.[Hani J.], Giannarou, S.[Stamatia],
See-Through Vision With Unsupervised Scene Occlusion Reconstruction,
PAMI(44), No. 7, July 2022, pp. 3779-3790.
IEEE DOI 2206
Visualisation of the surgical field through keyhole incisions. Image reconstruction, Surgery, Convolution, Training, Generators, Streaming media, Occlusion removal, image reconstruction, generative models BibRef

Haidegger, T.[Tamás], Speidel, S.[Stefanie], Stoyanov, D.[Danail], Satava, R.M.[Richard M.],
Robot-Assisted Minimally Invasive Surgery: Surgical Robotics in the Data Age,
PIEEE(110), No. 7, July 2022, pp. 835-846.
IEEE DOI 2206
Telerobotics, Minimally invasive surgery, Mechatronics, Systematics, Sensor phenomena and characterization, telesurgical robotics BibRef

Dupont, P.E.[Pierre E.], Simaan, N.[Nabil], Choset, H.[Howie], Rucker, C.[Caleb],
Continuum Robots for Medical Interventions,
PIEEE(110), No. 7, July 2022, pp. 847-870.
IEEE DOI 2206
Medical robotics, Electron tubes, Tendons, Catheters, Magnetic hysteresis, Pneumatic systems, Concentric tube robots, tendon actuation BibRef

Kim, J.[Joonhwan], de Mathelin, M.[Michel], Ikuta, K.[Koji], Kwon, D.S.[Dong-Soo],
Advancement of Flexible Robot Technologies for Endoluminal Surgeries,
PIEEE(110), No. 7, July 2022, pp. 909-931.
IEEE DOI 2206
Manipulators, Medical robotics, Surgery, Shape measurement, Hysteresis, Medical robotics, Flexible structures, Telemedicine, telemanipulation BibRef

Fichtinger, G.[Gabor], Troccaz, J.[Jocelyne], Haidegger, T.[Tamas],
Image-Guided Interventional Robotics: Lost in Translation?,
PIEEE(110), No. 7, July 2022, pp. 932-950.
IEEE DOI 2206
Medical robotics, Surgery, Biomedical imaging, Robot sensing systems, Service robots, Task analysis, surgical robotics BibRef

Su, H.[Hao], Kwok, K.W.[Ka-Wai], Cleary, K.[Kevin], Iordachita, I.[Iulian], Cavusoglu, M.C.[M. Cenk], Desai, J.P.[Jaydev P.], Fischer, G.S.[Gregory S.],
State of the Art and Future Opportunities in MRI-Guided Robot-Assisted Surgery and Interventions,
PIEEE(110), No. 7, July 2022, pp. 968-992.
IEEE DOI 2206
Magnetic resonance imaging, Medical robotics, Imaging, Robot sensing systems, Robot kinematics, Biomedical imaging, surgical robots BibRef

Fiorini, P.[Paolo], Goldberg, K.Y.[Ken Y.], Liu, Y.H.[Yun-Hui], Taylor, R.H.[Russell H.],
Concepts and Trends in Autonomy for Robot-Assisted Surgery,
PIEEE(110), No. 7, July 2022, pp. 993-1011.
IEEE DOI 2206
Ethics, Pathology, Medical robotics, Law, Surgery, Market research, Knowledge representation, Autonomous systems, Autonomy, surgical robotics BibRef

Nelson, B.J.[Bradley J.], Gervasoni, S.[Simone], Chiu, P.W.Y.[Philip W. Y.], Zhang, L.[Li], Zemmar, A.[Ajmal],
Magnetically Actuated Medical Robots: An in vivo Perspective,
PIEEE(110), No. 7, July 2022, pp. 1028-1037.
IEEE DOI 2206
Saturation magnetization, Soft magnetic materials, Magnetic resonance imaging, Magnetosphere, microrobots BibRef

van Amsterdam, B.[Beatrice], Funke, I.[Isabel], Edwards, E.[Eddie], Speidel, S.[Stefanie], Collins, J.[Justin], Sridhar, A.[Ashwin], Kelly, J.[John], Clarkson, M.J.[Matthew J.], Stoyanov, D.[Danail],
Gesture Recognition in Robotic Surgery With Multimodal Attention,
MedImg(41), No. 7, July 2022, pp. 1677-1687.
IEEE DOI 2207
Robots, Kinematics, Robot sensing systems, Needles, Gesture recognition, Surgery, Visualization, robotic surgery BibRef

Beane, M.[Matt],
Today's Robotic Surgery Turns Surgical Trainees into Spectators: Medical Training in the Robotics Age Leaves Tomorrow's Surgeons Short on Skills,
Spectrum(59), No. 8, August 2022, pp. 32-37.
IEEE DOI 2208
Medical robotics, Surgery, Biomedical measurement, Clamps, Biomedical equipment, Assistive robots BibRef

Jin, Y.M.[Yue-Ming], Yu, Y.[Yang], Chen, C.[Cheng], Zhao, Z.X.[Zi-Xu], Heng, P.A.[Pheng-Ann], Stoyanov, D.[Danail],
Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene Segmentation,
MedImg(41), No. 11, November 2022, pp. 2991-3002.
IEEE DOI 2211
Surgery, Transformers, Semantics, Task analysis, Computational modeling, Kidney, Image segmentation, pixel-level contrast BibRef

Ding, X.P.[Xin-Peng], Li, X.M.[Xiao-Meng],
Exploring Segment-Level Semantics for Online Phase Recognition From Surgical Videos,
MedImg(41), No. 11, November 2022, pp. 3309-3319.
IEEE DOI 2211
Surgery, Videos, Feature extraction, Semantics, Hidden Markov models, Task analysis, Convolution, Surgical video analysis, surgical phase recognition BibRef

Omisore, O.M.[Olatunji Mumini], Akinyemi, T.O.[Toluwanimi Oluwadara], Du, W.J.[Wen-Jing], Duan, W.K.[Wen-Ke], Orji, R.[Rita], Do, T.N.[Thanh Nho], Wang, L.[Lei],
Weighting-Based Deep Ensemble Learning for Recognition of Interventionalists' Hand Motions During Robot-Assisted Intravascular Catheterization,
HMS(53), No. 1, February 2023, pp. 215-227.
IEEE DOI 2301
Feature extraction, Catheterization, Motion segmentation, Navigation, Surgery, Robot sensing systems, Manuals, Deep learning, surface electro- myography (sEMG) control BibRef

Ma, L.[Lei], Xiao, D.Q.[De-Qiang], Kim, D.[Daeseung], Lian, C.F.[Chun-Feng], Kuang, T.S.[Tian-Shu], Liu, Q.[Qin], Deng, H.[Hannah], Yang, E.K.[Er-Kun], Liebschner, M.A.K.[Michael A. K.], Gateno, J.[Jaime], Xia, J.J.[James J.], Yap, P.T.[Pew-Thian],
Simulation of Postoperative Facial Appearances via Geometric Deep Learning for Efficient Orthognathic Surgical Planning,
MedImg(42), No. 2, February 2023, pp. 336-345.
IEEE DOI 2302
Surgery, Shape, Computational modeling, Point cloud compression, Biological system modeling, Power capacitors, Biomechanics, topology preservation BibRef

Ding, X.P.[Xin-Peng], Yan, X.J.[Xin-Jian], Wang, Z.X.[Zi-Xun], Zhao, W.[Wei], Zhuang, J.[Jian], Xu, X.W.[Xiao-Wei], Li, X.M.[Xiao-Meng],
Less Is More: Surgical Phase Recognition From Timestamp Supervision,
MedImg(42), No. 6, June 2023, pp. 1897-1910.
IEEE DOI 2306
Annotations, Surgery, Videos, Costs, Manuals, Training, Long short term memory, Surgical phase recognition, uncertainty estimation BibRef

Pan, X.Y.[Xiao-Ying], Lian, J.[Jia], He, Q.Q.[Qi-Qi], Xue, Y.F.[Yu-Feng], Wang, H.[Hao], He, D.[Dalin],
Real-time coloring method of laser surgery video based on generative adversarial network,
IJIST(33), No. 4, 2023, pp. 1424-1436.
DOI Link 2307
laser surgery, image coloring, deep learning, residual learning BibRef

Kassem, H.[Hasan], Alapatt, D.[Deepak], Mascagni, P.[Pietro], Karargyris, A.[Alexandros], Padoy, N.[Nicolas],
Federated Cycling (FedCy): Semi-Supervised Federated Learning of Surgical Phases,
MedImg(42), No. 7, July 2023, pp. 1920-1931.
IEEE DOI 2307
Surgery, Federated learning, Task analysis, Training, Videos, Data models, Biomedical imaging, Cholecystectomy, surgery BibRef

Hong, T.X.[Ting-Xuan], Huang, P.[Pu], Zhai, X.Y.[Xiang-Yu], Gu, C.M.[Chang-Ming], Tian, B.[Baolong], Jin, B.[Bin], Li, D.[Dengwang],
MARS-GAN: Multilevel-Feature-Learning Attention-Aware Based Generative Adversarial Network for Removing Surgical Smoke,
MedImg(42), No. 8, August 2023, pp. 2299-2312.
IEEE DOI 2308
Atmospheric modeling, Laparoscopes, Image color analysis, Scattering, Adaptation models, Representation learning, multi-task learning BibRef

Ramesh, S.[Sanat], DallAlba, D.[Diego], Gonzalez, C.[Cristians], Yu, T.[Tong], Mascagni, P.[Pietro], Mutter, D.[Didier], Marescaux, J.[Jacques], Fiorini, P.[Paolo], Padoy, N.[Nicolas],
Weakly Supervised Temporal Convolutional Networks for Fine-Grained Surgical Activity Recognition,
MedImg(42), No. 9, September 2023, pp. 2592-2602.
IEEE DOI 2310
BibRef

Yue, W.X.[Wen-Xi], Liao, H.[Hongen], Xia, Y.[Yong], Lam, V.[Vincent], Luo, J.B.[Jie-Bo], Wang, Z.Y.[Zhi-Yong],
Cascade Multi-Level Transformer Network for Surgical Workflow Analysis,
MedImg(42), No. 10, October 2023, pp. 2817-2831.
IEEE DOI 2310
BibRef

Zhao, C.[Chumin], Lago, M.A.[Miguel A.], Beams, R.[Ryan], Badano, A.[Aldo],
Objective Image Quality Optimization in Augmented Reality Using Spatial Frequency Domain Models,
MedImg(42), No. 10, October 2023, pp. 3036-3047.
IEEE DOI 2310
BibRef

Bian, G.B.[Gui-Bin], Zhang, L.[Li], Chen, H.[He], Li, Z.[Zhen], Fu, P.[Pan], Yue, W.Q.[Wen-Qian], Luo, Y.W.[Yu-Wen], Ge, P.C.[Pei-Cong], Liu, W.P.[Wei-Peng],
Motion Decoupling Network for Intra-Operative Motion Estimation Under Occlusion,
MedImg(42), No. 10, October 2023, pp. 2924-2935.
IEEE DOI 2310
BibRef

Zhang, L.S.[Lin-Sen], Liu, S.Q.[Shi-Qi], Xie, X.L.[Xiao-Liang], Zhou, X.H.[Xiao-Hu], Hou, Z.G.[Zeng-Guang], Wang, C.N.[Chao-Nan], Qu, X.K.[Xin-Kai], Han, W.Z.[Wen-Zheng], Ma, X.Y.[Xi-Yao], Song, M.[Meng],
A Novel Spatial Position Prediction Navigation System Makes Surgery More Accurate,
MedImg(42), No. 12, December 2023, pp. 3614-3624.
IEEE DOI 2312
BibRef

Ban, Y.T.[Yu-Tong], Eckhoff, J.A.[Jennifer A.], Ward, T.M.[Thomas M.], Hashimoto, D.A.[Daniel A.], Meireles, O.R.[Ozanan R.], Rus, D.[Daniela], Rosman, G.[Guy],
Concept Graph Neural Networks for Surgical Video Understanding,
MedImg(43), No. 1, January 2024, pp. 264-274.
IEEE DOI 2401
BibRef

Jafargholkhanloo, A.F.[Ali Fahmi], Shamsi, M.[Mousa],
Quantitative analysis of facial soft tissue using weighted cascade regression model applicable for facial plastic surgery,
SP:IC(121), 2024, pp. 117086.
Elsevier DOI 2401
Anatomical facial landmarks, Facial anthropometry analysis, Facial plastic surgery, Facial golden ratio, Weighted cascade regression model BibRef

Yang, Y.X.[Yu-Xuan], Wang, H.[Hao], Wang, J.Z.[Ji-Zhou], Dong, K.[Kai], Ding, S.[Shuai],
Semantic-Preserving Surgical Video Retrieval With Phase and Behavior Coordinated Hashing,
MedImg(43), No. 2, February 2024, pp. 807-819.
IEEE DOI Code:
WWW Link. 2402
Surgery, Semantics, Behavioral sciences, Task analysis, Streaming media, Binary codes, Cataracts, Coordinated hashing, surgical video retrieval BibRef

Lin, C.[Chen], Zhu, Z.F.[Zhen-Feng], Zhao, Y.[Yawei], Zhang, Y.[Ying], He, K.L.[Kun-Lun], Zhao, Y.[Yao],
SGT++: Improved Scene Graph-Guided Transformer for Surgical Report Generation,
MedImg(43), No. 4, April 2024, pp. 1337-1346.
IEEE DOI 2404
Surgery, Transformers, Instruments, Visualization, Medical diagnostic imaging, Task analysis, Semantics, transformer BibRef

Liu, M.[Min], Han, Y.[Yubin], Wang, J.Z.[Jia-Zheng], Wang, C.[Can], Wang, Y.[Yaonan], Meijering, E.[Erik],
LSKANet: Long Strip Kernel Attention Network for Robotic Surgical Scene Segmentation,
MedImg(43), No. 4, April 2024, pp. 1308-1322.
IEEE DOI Code:
WWW Link. 2404
Feature extraction, Image segmentation, Kernel, Instruments, Strips, Visualization, Minimally invasive surgery, Surgical scene, feature fusion BibRef

Chen, J.C.[Jia-Chen], Li, M.Y.[Meng-Yang], Han, H.[Hu], Zhao, Z.M.[Zhi-Ming], Chen, X.L.[Xi-Lin],
SurgNet: Self-Supervised Pretraining With Semantic Consistency for Vessel and Instrument Segmentation in Surgical Images,
MedImg(43), No. 4, April 2024, pp. 1513-1525.
IEEE DOI 2404
Image segmentation, Instruments, Task analysis, Biomedical imaging, Surgery, Semantics, Blood vessels, self-supervised learning BibRef

Gui, S.[Shuangchun], Wang, Z.K.[Zhen-Kun], Chen, J.X.[Ji-Xiang], Zhou, X.[Xun], Zhang, C.[Chen], Cao, Y.[Yi],
MT4MTL-KD: A Multi-Teacher Knowledge Distillation Framework for Triplet Recognition,
MedImg(43), No. 4, April 2024, pp. 1628-1639.
IEEE DOI 2404
Surgery, Task analysis, Transformers, Context modeling, Training, Feature extraction, Multitasking, Surgical activity recognition, multi-label image classification BibRef

Xu, M.Y.[Meng-Ya], Islam, M.[Mobarakol], Bai, L.[Long], Ren, H.L.[Hong-Liang],
Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic Surgery,
MedImg(43), No. 6, June 2024, pp. 2291-2302.
IEEE DOI Code:
WWW Link. 2406
Instruments, Task analysis, Surgery, Semantic segmentation, Robots, Data models, Semantics, Catastrophic forgetting, distillation BibRef

Schmidt, A.[Adam], Mohareri, O.[Omid], DiMaio, S.P.[Simon P.], Salcudean, S.E.[Septimiu E.],
Surgical Tattoos in Infrared: A Dataset for Quantifying Tissue Tracking and Mapping,
MedImg(43), No. 7, July 2024, pp. 2634-2645.
IEEE DOI Code:
DOI Link 2407
Tracking, Ink, Labeling, Videos, Surgery, In vivo, Needles, Deformable tracking, endoscopic datasets, tissue tracking, simultaneous localization and mapping (SLAM) BibRef

Yang, C.[Chen], Wang, K.L.[Kai-Ling], Wang, Y.[Yuehao], Dou, Q.[Qi], Yang, X.K.[Xiao-Kang], Shen, W.[Wei],
Efficient Deformable Tissue Reconstruction via Orthogonal Neural Plane,
MedImg(43), No. 9, September 2024, pp. 3211-3223.
IEEE DOI Code:
WWW Link. 2409
Image reconstruction, Surgery, Videos, Deformation, Training, Biomedical imaging, Endoscopy, optical imaging BibRef

Feghoul, K.[Kevin], Maia, D.S.[Deise Santana], El Amrani, M.[Mehdi], Daoudi, M.[Mohamed], Amad, A.[Ali],
MGRFormer: A Multimodal Transformer Approach for Surgical Gesture Recognition,
FG24(1-10)
IEEE DOI 2408
Training, Visualization, Surgery, Gesture recognition, Kinematics, Machine learning, Predictive models BibRef

Wu, F.[Fei], Marquez-Neila, P.[Pablo], Zheng, M.Y.[Ming-Yi], Rafii-Tari, H.[Hedyeh], Sznitman, R.[Raphael],
Correlation-aware active learning for surgery video segmentation,
WACV24(1999-2009)
IEEE DOI 2404
Uncertainty, Annotations, Semantic segmentation, Instruments, Surgery, Self-supervised learning, Algorithms, Biomedical / healthcare / medicine BibRef

Liu, Y.[Yang], Huo, J.[Jiayu], Peng, J.J.[Jing-Jing], Sparks, R.[Rachel], Dasgupta, P.[Prokar], Granados, A.[Alejandro], Ourselin, S.[Sebastien],
SKiT: a Fast Key Information Video Transformer for Online Surgical Phase Recognition,
ICCV23(21017-21027)
IEEE DOI 2401
BibRef

Shen, Z.Q.[Zhi-Qiang],
FerKD: Surgical Label Adaptation for Efficient Distillation,
ICCV23(1666-1675)
IEEE DOI Code:
WWW Link. 2401
BibRef

Feghoul, K.[Kevin], Maia, D.S.[Deise Santana], El Amrani, M.[Mehdi], Daoudi, M.[Mohamed], Amad, A.[Ali],
Spatial-temporal Graph Transformer for Surgical Skill Assessment in Simulation Sessions,
CIARP23(I:287-297).
Springer DOI 2312
BibRef

Dhanakshirur, R.R.[Rohan Raju], Katiyar, V.[Varidh], Sharma, R.[Ravi], Suri, A.[Ashish], Kalra, P.K.[Prem Kumar], Arora, C.[Chetan],
From Feline Classification to Skills Evaluation: A Multitask Learning Framework for Evaluating Micro Suturing Neurosurgical Skills,
ICIP23(3374-3378)
IEEE DOI Code:
WWW Link. 2312
BibRef

Yi, F.Q.[Fang-Qiu], Yang, Y.F.[Yan-Feng], Jiang, T.T.[Ting-Ting],
Not End-to-end: Explore Multi-stage Architecture for Online Surgical Phase Recognition,
ACCV22(IV:417-432).
Springer DOI 2307
BibRef

Demirel, D.[Doga], Keles, H.O.[Hasan Onur], Modak, C.[Chinmoy], Basturk, K.K.[Kubranur Kara], Barker, J.R.[Jacob R.], Halic, T.[Tansel],
Multimodal Approach to Assess a Virtual Reality-based Surgical Training Platform,
VAMR23(430-440).
Springer DOI 2307
BibRef

Goldbraikh, A.[Adam], Avisdris, N.[Netanell], Pugh, C.M.[Carla M.], Laufer, S.[Shlomi],
Bounded Future Ms-tcn++ for Surgical Gesture Recognition,
MCV22(406-421).
Springer DOI 2304
BibRef

Pradeep, C.S.[Chakka Sai], Sinha, N.[Neelam],
Fused Multilayer Layer-Cam Fine-grained Spatial Feature Supervision for Surgical Phase Classification Using CNNs,
ACVR22(712-726).
Springer DOI 2304
BibRef

Czempiel, T.[Tobias], Sharghi, A.[Aidean], Paschali, M.[Magdalini], Navab, N.[Nassir], Mohareri, O.[Omid],
Surgical Workflow Recognition: From Analysis of Challenges to Architectural Study,
MCV22(556-568).
Springer DOI 2304
BibRef

Rivoir, D.[Dominik], Pfeiffer, M.[Micha], Docea, R.[Reuben], Kolbinger, F.[Fiona], Riediger, C.[Carina], Weitz, J.[Jürgen], Speidel, S.[Stefanie],
Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data,
ICCV21(3323-3333)
IEEE DOI 2203
Training, Geometry, Limiting, Video sequences, Surgery, Medical, biological, and cell microscopy, Image and video synthesis BibRef

Jian, Z.T.[Zhi-Teng], Yue, W.X.[Wen-Xi], Wu, Q.X.[Qiu-Xia], Li, W.[Wei], Wang, Z.Y.[Zhi-Yong], Lam, V.[Vincent],
Multitask Learning for Video-based Surgical Skill Assessment,
DICTA20(1-8)
IEEE DOI 2201
Deep learning, Computational modeling, Digital images, Surgery, Feature extraction, Spatiotemporal phenomena, Task analysis, attention BibRef

Villani, F.P.[Francesca Pia], di Cosmo, M.[Mariachiara], Simonetti, Á.B.[Álvaro Bertelsen], Frontoni, E.[Emanuele], Moccia, S.[Sara],
Development of an Augmented Reality System Based on Marker Tracking for Robotic Assisted Minimally Invasive Spine Surgery,
AIHA20(461-475).
Springer DOI 2103
BibRef

Hosseinian, S., Arefi, H., Navab, N.,
C-arm Pose Estimation and Navigation in Surgeries for Augmented Reality Application,
SMPR19(497-505).
DOI Link 1912
BibRef

Ge, P., Pan, J., Li, F., Shi, W., Qin, H.,
Real-Time Tracking of Corneal Contour in Dalk Surgical Navigation Using Deep Neural Networks,
ICIP19(1356-1360)
IEEE DOI 1910
Contour tracking, Segmentation, Optical flow inpainting, DALK, AR-based surgical navigation BibRef

Lohou, C.[Christophe], Miguel, B.[Bruno], Azarnoush, K.[Kasra],
Preliminary Experiment of the Interactive Registration of a Trocar for Thoracoscopy with HoloLens Headset,
CIAP19(II:694-703).
Springer DOI 1909
BibRef

Raposo, C., Barreto, J.,
3D Registration of Curves and Surfaces Using Local Differential Information,
CVPR18(9300-9308)
IEEE DOI 1812
Navigation, Surgery, Complexity theory, Transmission line matrix methods, Surface reconstruction, Iterative closest point algorithm BibRef

Meng, C.[Cai], Wang, Q.[Qi], Guan, S.Y.[Shao-Ya], Xie, Y.[Yi],
Weighted Local Mutual Information for 2D-3D Registration in Vascular Interventions,
SSSPR18(376-385).
Springer DOI 1810
BibRef

Manni, F., Mamprin, M., Zinger, S., Shan, C., Holthuizen, R., de With, P.H.N.,
Multispectral Image Analysis for Patient Tissue Tracking During Complex Interventions,
ICIP18(3149-3153)
IEEE DOI 1809
Feature extraction, Tracking, Skin, Veins, Surgery, Optical imaging, Multispectral imaging, tissue tracking, minimally invasive surgery BibRef

Yang, H., Shan, C., Kolen, A.F., de With, P.H.N.,
Catheter Detection in 3D Ultrasound Using Triplanar-Based Convolutional Neural Networks,
ICIP18(371-375)
IEEE DOI 1809
Catheters, Training, Fitting, Robustness, Ultrasonic imaging, Heart, 3D ultrasound, catheter detection, catheter model fitting BibRef

Bolkar, S., Wang, C., Cheikh, F.A., Yildirim, S.,
Deep Smoke Removal from Minimally Invasive Surgery Videos,
ICIP18(3403-3407)
IEEE DOI 1809
Videos, Training, Mathematical model, Image color analysis, Neural networks, Minimally invasive surgery, Image restoration, convolutional neural networks BibRef