21.6.2 Laparoscopy, Surgery

Chapter Contents (Back)
Laparoscopy.

Saint-Pierre, C.A.[Charles-Auguste], Boisvert, J.[Jonathan], Grimard, G.[Guy], Cheriet, F.[Farida],
Detection and correction of specular reflections for automatic surgical tool segmentation in thoracoscopic images,
MVA(22), No. 1, January 2011, pp. 171-180.
WWW Link. 1101
BibRef

Boisvert, J.[Jonathan], Cheriet, F.[Farida], Grimard, G.[Guy],
Segmentation of Laparoscopic Images for Computer Assisted Surgery,
SCIA03(587-594).
Springer DOI 0310
BibRef

Climent, J.[Joan], Marés, P.[Pere],
Automatic instrument localization in laparoscopic surgery,
ELCVIA(4), No. 1, October 2004, pp. xx-yy.
DOI Link 0410
BibRef

Shimotsu, R.T., Cao, C.G.L.,
The Effect of Color-Contrasting Shadows on a Dynamic 3-D Laparoscopic Surgical Task,
SMC-A(37), No. 6, November 2007, pp. 1047-1053.
IEEE DOI 0709
BibRef

Nakamoto, M., Nakada, K., Sato, Y., Konishi, K., Hashizume, M., Tamura, S.,
Intraoperative Magnetic Tracker Calibration Using a Magneto-Optic Hybrid Tracker for 3-D Ultrasound-Based Navigation in Laparoscopic Surgery,
MedImg(27), No. 2, February 2008, pp. 255-270.
IEEE DOI 0802
BibRef

Maier-Hein, L., Groch, A., Bartoli, A., Bodenstedt, S., Boissonnat, G., Chang, P.L., Clancy, N.T., Elson, D.S., Haase, S., Heim, E., Hornegger, J., Jannin, P., Kenngott, H., Kilgus, T., Muller-Stich, B., Oladokun, D., Rohl, S., dos Santos, T.R., Schlemmer, H.P., Seitel, A., Speidel, S., Wagner, M., Stoyanov, D.,
Comparative Validation of Single-Shot Optical Techniques for Laparoscopic 3-D Surface Reconstruction,
MedImg(33), No. 10, October 2014, pp. 1913-1930.
IEEE DOI 1411
biological tissues BibRef

Kim, Y.[Youngjun], Kim, L.[Laehyun], Lee, D.[Deukhee], Shin, S.[Sangkyun], Cho, H.[Hyunchul], Roy, F.[Frédérick], Park, S.[Sehyung],
Deformable mesh simulation for virtual laparoscopic cholecystectomy training,
VC(31), No. 4, April 2015, pp. 485-495.
Springer DOI 1503
BibRef

Twinanda, A.P., Shehata, S., Mutter, D., Marescaux, J., de Mathelin, M., Padoy, N.,
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos,
MedImg(36), No. 1, January 2017, pp. 86-97.
IEEE DOI 1701
Computer architecture BibRef

Sarikaya, D., Corso, J.J., Guru, K.A.,
Detection and Localization of Robotic Tools in Robot-Assisted Surgery Videos Using Deep Neural Networks for Region Proposal and Detection,
MedImg(36), No. 7, July 2017, pp. 1542-1549.
IEEE DOI 1707
Neural networks, Object detection, Proposals, Robots, Surgery, Training, Videos, Object detection, image classification, laparoscopes, multi-layer neural network, telerobotics BibRef

Jayarathne, U.L., Chen, E.C.S., Moore, J., Peters, T.M.,
Robust, Intrinsic Tracking of a Laparoscopic Ultrasound Probe for Ultrasound-Augmented Laparoscopy,
MedImg(38), No. 2, February 2019, pp. 460-469.
IEEE DOI 1902
Cameras, Laparoscopes, Probes, Ultrasonic imaging, Surgery, Pose estimation, laparoscopic surgery, augmented visualization BibRef

Okamoto, T.[Takayuki], Ohnishi, T.[Takashi], Kawahira, H.[Hiroshi], Dergachyava, O.[Olga], Jannin, P.[Pierre], Haneishi, H.[Hideaki],
Real-time identification of blood regions for hemostasis support in laparoscopic surgery,
SIViP(13), No. 2, March 2019, pp. 405-412.
Springer DOI 1904
BibRef

Twinanda, A.P., Yengera, G., Mutter, D., Marescaux, J., Padoy, N.,
RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations,
MedImg(38), No. 4, April 2019, pp. 1069-1078.
IEEE DOI 1904
Surgery, Estimation, Pipelines, Videos, Manuals, Task analysis, Visualization, Bypass, cholecystectomy, deep learning, remaining surgery duration BibRef

Pan, J.J.[Jun-Jun], Yang, Y.H.[Yu-Han], Gao, Y.[Yang], Qin, H.[Hong], Si, Y.Q.[Ya-Qing],
Real-time simulation of electrocautery procedure using meshfree methods in laparoscopic cholecystectomy,
VC(35), No. 6-8, June 2018, pp. 861-872.
Springer DOI 1906
BibRef

Kannan, S., Yengera, G., Mutter, D., Marescaux, J., Padoy, N.,
Future-State Predicting LSTM for Early Surgery Type Recognition,
MedImg(39), No. 3, March 2020, pp. 556-566.
IEEE DOI 2004
Surgery, Laparoscopes, Task analysis, Feature extraction, Image recognition, Visualization, deep learning BibRef

Chandra, S., Hayashibe, M., Thondiyath, A.,
Muscle Fatigue Induced Hand Tremor Clustering in Dynamic Laparoscopic Manipulation,
SMCS(50), No. 12, December 2020, pp. 5420-5431.
IEEE DOI 2011
Fatigue, Muscles, Torque, Laparoscopes, Minimally invasive surgery, Tools, Dynamic motion, EMG, Hammerstein model, hand tremor, muscle fatigue BibRef

Collins, T., Pizarro, D., Gasparini, S., Bourdel, N., Chauvet, P., Canis, M., Calvet, L., Bartoli, A.,
Augmented Reality Guided Laparoscopic Surgery of the Uterus,
MedImg(40), No. 1, January 2021, pp. 371-380.
IEEE DOI 2012
Laparoscopes, Tracking, Strain, Image reconstruction, Robustness, Surgery, Augmented reality, surgical navigation BibRef

Zhou, H.Y.[Hao-Yin], Jayender, J.[Jagadeesan],
Real-Time Nonrigid Mosaicking of Laparoscopy Images,
MedImg(40), No. 6, June 2021, pp. 1726-1736.
IEEE DOI 2106
Simultaneous localization and mapping, Strain, Laparoscopes, uncertainty BibRef

Wiacek, A.[Alycen], Wang, K.C.[Karen C.], Wu, H.[Harold], Bell, M.A.L.[Muyinatu A. Lediju],
Photoacoustic-Guided Laparoscopic and Open Hysterectomy Procedures Demonstrated With Human Cadavers,
MedImg(40), No. 12, December 2021, pp. 3279-3292.
IEEE DOI 2112
Surgery, Ultrasonic imaging, Arteries, Tools, Injuries, Laparoscopes, Imaging, Photoacoustic imaging, multi-spectral, hysterectomy, gynecology BibRef

Xia, W.[Wenyao], Chen, E.C.S.[Elvis C. S.], Pautler, S.[Stephen], Peters, T.M.[Terry M.],
A Robust Edge-Preserving Stereo Matching Method for Laparoscopic Images,
MedImg(41), No. 7, July 2022, pp. 1651-1664.
IEEE DOI 2207
Costs, Lighting, Laparoscopes, Optimization, Image edge detection, Robustness, Feature extraction, Minimally invasive surgery, depth information BibRef

Hong, M.[Minsik], Rozenblit, J.W.[Jerzy W.],
An Adaptive Force Guidance System for Computer-Guided Laparoscopy Training,
Cyber(52), No. 8, August 2022, pp. 8019-8031.
IEEE DOI 2208
Force, Training, Instruments, Task analysis, Electron tubes, Navigation, Force feedback, Adaptive systems, assistive technology, virtual fixtures BibRef


Nguyen, T.S.[Tan-Sy], Chaussard, J.[John], Luong, M.[Marie], Zaag, H.[Hatem], Beghdadi, A.[Azeddine],
A No-Reference Measure for Uneven Illumination Assessment on Laparoscopic Images,
ICIP22(4103-4107)
IEEE DOI 2211
Laparoscopes, Image quality, Weight measurement, Intestines, Lighting, Surgery, Sensors, Image quality assessment, histogram equalization BibRef

Mielke, T.[Tonia], Joeres, F.[Fabian], Hansen, C.[Christian],
Natural 3D Object Manipulation for Interactive Laparoscopic Augmented Reality Registration,
VAMR22(I:317-328).
Springer DOI 2206
BibRef

Alkhamaiseh, K.N.[Koloud N.], Grantner, J.L.[Janos L.], Shebrain, S.[Saad], Abdel-Oader, I.[Ikhlas],
Towards Automated Performance Assessment for Laparoscopic Box Trainer using Cross-Stage Partial Network,
DICTA21(01-07)
IEEE DOI 2201
Training, Laparoscopes, Minimally invasive surgery, Tracking, Digital images, Neural networks, Object detection, cross-stage partial network BibRef

Khan, Z.A., Beghdadi, A., Kaaniche, M., Cheikh, F.A.,
Residual Networks Based Distortion Classification and Ranking for Laparoscopic Image Quality Assessment,
ICIP20(176-180)
IEEE DOI 2011
Distortion, Laparoscopes, Task analysis, Image quality, Videos, Neural networks, Machine learning, Laparoscopic video, deep learning BibRef

Petscharnig, S.[Stefan], Schoeffmann, K.[Klaus],
ActionVis: An Explorative Tool to Visualize Surgical Actions in Gynecologic Laparoscopy,
MMMod18(II:348-351).
Springer DOI 1802
BibRef

Kletz, S.[Sabrina], Schoeffmann, K.[Klaus], Leibetseder, A.[Andreas], Benois-Pineau, J.[Jenny], Husslein, H.[Heinrich],
Instrument Recognition in Laparoscopy for Technical Skill Assessment,
MMMod20(II:589-600).
Springer DOI 2003
BibRef

Leibetseder, A.[Andreas], Kletz, S.[Sabrina], Schoeffmann, K.[Klaus], Keckstein, S.[Simon], Keckstein, J.[Jörg],
Glenda: Gynecologic Laparoscopy Endometriosis Dataset,
MMMod20(II:439-450).
Springer DOI 2003
BibRef

Vishal, V., Venkatesh, V.[Varun], Lochan, K.[Kshetrimayum], Sharma, N.[Neeraj], Singh, M.[Munendra],
Unsupervised Desmoking of Laparoscopy Images Using Multi-scale Desmokenet,
ACIVS20(421-432).
Springer DOI 2003
BibRef

Yamashiro, K.[Kazuaki], Goto, A.[Akihiko], Shiomi, H.[Hisanori], Murakami, K.[Koichiro],
Construct of Learning Model for Laparoscopic Surgery,
DHM18(558-566).
Springer DOI 1807
BibRef

Wang, C.[Cheng], Oda, M.[Masahiro], Hayashi, Y.[Yuichiro], Misawa, K.[Kazunari], Roth, H.[Holger], Mori, K.[Kensaku],
Motion Vector for Outlier Elimination in Feature Matching and Its Application in SLAM Based Laparoscopic Tracking,
CARE17(60-69).
Springer DOI 1711
BibRef

Leibetseder, A.[Andreas], Primus, M.J.[Manfred Jürgen], Schoeffmann, K.[Klaus],
Automatic Smoke Classification in Endoscopic Video,
MMMod18(II:362-366).
Springer DOI 1802
BibRef

Leibetseder, A.[Andreas], Primus, M.J.[Manfred Jürgen], Petscharnig, S.[Stefan], Schoeffmann, K.[Klaus],
Image-Based Smoke Detection in Laparoscopic Videos,
CARE17(70-87).
Springer DOI 1711
BibRef

Shao, J.L.[Jin-Liang], Luo, H.L.[Huo-Ling], Xiao, D.Q.[De-Qiang], Hu, Q.M.[Qing-Mao], Jia, F.C.[Fu-Cang],
Progressive Hand-Eye Calibration for Laparoscopic Surgery Navigation,
CARE17(42-49).
Springer DOI 1711
BibRef

Mishra, K., Sathish, R., Sheet, D.,
Learning Latent Temporal Connectionism of Deep Residual Visual Abstractions for Identifying Surgical Tools in Laparoscopy Procedures,
DeepLearn-T17(2233-2240)
IEEE DOI 1709
Data mining, Feature extraction, Laparoscopes, Logic gates, Surgery, Tools, Visualization BibRef

Collins, T.[Toby], Chauvet, P.[Pauline], Debize, C.[Clément], Pizarro, D.[Daniel], Bartoli, A.E.[Adrien E.], Canis, M.[Michel], Bourdel, N.[Nicolas],
A System for Augmented Reality Guided Laparoscopic Tumour Resection with Quantitative Ex-vivo User Evaluation,
CARE16(114-126).
Springer DOI 1703
BibRef

Bernhardt, S.[Sylvain], Nicolau, S.A.[Stéphane A.], Bartoli, A.E.[Adrien E.], Agnus, V.[Vincent], Soler, L.[Luc], Doignon, C.[Christophe],
Using Shading to Register an Intraoperative CT Scan to a Laparoscopic Image,
CARE15(59-68).
WWW Link. 1605
BibRef

Allan, M.[Max], Kapoor, A.[Ankur], Mewes, P.[Philip], Mountney, P.[Peter],
Non Rigid Registration of 3D Images to Laparoscopic Video for Image Guided Surgery,
CARE15(109-116).
WWW Link. 1605
BibRef

Haase, S., Wasza, J., Kilgus, T., Hornegger, J.,
Laparoscopic instrument localization using a 3-D Time-of-Flight/RGB endoscope,
WACV13(449-454).
IEEE DOI 1303
BibRef

Kim, J.H.[Jae-Hak], Bartoli, A.E.[Adrien E.], Collins, T.[Toby], Hartley, R.I.[Richard I.],
Tracking by Detection for Interactive Image Augmentation in Laparoscopy,
WBIR12(246-255).
Springer DOI 1208
BibRef

Vélez, A.F.M.[Andrés F. Mármol], Marcinczak, J.M.[Jan Marek], Grigat, R.R.[Rolf-Rainer],
Structure from Motion Based Approaches to 3D Reconstruction in Minimal Invasive Laparoscopy,
ICIAR12(II: 296-303).
Springer DOI 1206
BibRef

Wang, Z.S.[Zhe-Shen], Li, B.X.[Bao-Xin],
Synchronizing disparate video streams from laparoscopic operations in simulation-based surgical training,
AIPR10(1-6).
IEEE DOI 1010
BibRef

Park, A., Sutton, E., Shekhar, R.,
Computed tomography guided laparoscopy: Proof of concept,
ICARCV10(213-215).
IEEE DOI 1109
BibRef

Ishii, T., Ku, C.P.[Chang-Ping], Igarashi, T., Makino, H., Naya, Y.,
Correction of paradoxical vision by simulated depth cue and inverted mirror image for laparoscopic surgery,
ICARCV10(222-224).
IEEE DOI 1109
BibRef

Machucho-Cadena, R., Bayro-Corrochano, E.,
3D Reconstruction of Tumors for Applications in Laparoscopy Using Conformal Geometric Algebra,
ICPR10(2532-2535).
IEEE DOI 1008
BibRef

Shu, Y.Y.[Yue-Yun], Bilodeau, G.A.[Guillaume-Alexandre], Cheriet, F.[Farida],
Segmentation of Laparoscopic Images: Integrating Graph-Based Segmentation and Multistage Region Merging,
CRV05(429-436).
IEEE DOI 0505
BibRef

Stoyanov, D.[Danail], Yang, G.Z.[Guang Zong],
Removing Specular Reflection Components for Robotic Assisted Laparoscopic Surgery,
ICIP05(III: 632-635).
IEEE DOI 0512
BibRef

Zhang, X., Payandeh, S.,
Toward Application of Image Tracking in Laparoscopic Surgery,
ICPR00(Vol IV: 364-367).
IEEE DOI 0009
BibRef

Wang, Y.F., Uecker, D.R., and Wang, Y.,
Choreographed Scope Maneuvering in Robotically-Assisted Laparoscopy with Active Vision Guidance,
WACV96(187-192).
IEEE DOI 9609
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Brain Surgery .


Last update:Mar 16, 2024 at 20:36:19