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ORCID25th MICCAI 2022: Singapore - Part VII
- Linwei Wang, Qi Dou
, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VII. Lecture Notes in Computer Science 13437, Springer 2022, ISBN 978-3-031-16448-4
Image-Guided Interventions and Surgery
- Jann-Ole Henningson, Marc Stamminger, Michael Döllinger, Marion Semmler:
Real-Time 3D Reconstruction of Human Vocal Folds via High-Speed Laser-Endoscopy. 3-12 - Baoru Huang, Jian-Qing Zheng, Anh Nguyen, Chi Xu, Ioannis Gkouzionis, Kunal Vyas, David Tuch, Stamatia Giannarou, Daniel S. Elson:
Self-supervised Depth Estimation in Laparoscopic Image Using 3D Geometric Consistency. 13-22 - Kyungsu Lee, Jaeseung Yang, Moon Hwan Lee, Jin Ho Chang, Jun-Young Kim, Jae Youn Hwang:
USG-Net: Deep Learning-based Ultrasound Scanning-Guide for an Orthopedic Sonographer. 23-32 - Lalithkumar Seenivasan, Mobarakol Islam, Adithya K. Krishna, Hongliang Ren:
Surgical-VQA: Visual Question Answering in Surgical Scenes Using Transformer. 33-43 - Xiyao Ma, Shi-Qi Liu, Xiao-Liang Xie, Xiao-Hu Zhou, Zeng-Guang Hou, Yan-Jie Zhou, Meng Song, Lin-Sen Zhang, Chao-Nan Wang:
DSP-Net: Deeply-Supervised Pseudo-Siamese Network for Dynamic Angiographic Image Matching. 44-53 - Meng Song, Shiqi Liu, Xiao-Liang Xie, Xiao-Hu Zhou, Zeng-Guang Hou, Yan-Jie Zhou, Xiyao Ma:
A Novel Fusion Network for Morphological Analysis of Common Iliac Artery. 54-63 - Chaofan Wang, Kangning Yang, Weiwei Jiang, Jing Wei, Zhanna Sarsenbayeva, Jorge Gonçalves, Vassilis Kostakos:
Hand Hygiene Quality Assessment Using Image-to-Image Translation. 64-73 - Guillaume Mestdagh, Stéphane Cotin:
An Optimal Control Problem for Elastic Registration and Force Estimation in Augmented Surgery. 74-83 - Matteo Ronchetti, Julia Rackerseder, Maria Tirindelli, Mehrdad Salehi, Nassir Navab, Wolfgang Wein, Oliver Zettinig:
PRO-TIP: Phantom for RObust Automatic Ultrasound Calibration by TIP Detection. 84-93 - Qianhui Men, Clare Teng, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Multimodal-GuideNet: Gaze-Probe Bidirectional Guidance in Obstetric Ultrasound Scanning. 94-103 - Cheng Zhao, Richard Droste, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
USPoint: Self-Supervised Interest Point Detection and Description for Ultrasound-Probe Motion Estimation During Fine-Adjustment Standard Fetal Plane Finding. 104-114 - Meng Zheng, Benjamin Planche, Xuan Gong, Fan Yang, Terrence Chen, Ziyan Wu:
Self-supervised 3D Patient Modeling with Multi-modal Attentive Fusion. 115-125 - Shuai Zhang, Liang Zhao, Shoudong Huang, Hua Wang, Qi Luo, Qi Hao:
SLAM-TKA: Real-time Intra-operative Measurement of Tibial Resection Plane in Conventional Total Knee Arthroplasty. 126-135 - Yejee Shin, Taejoon Eo, Hyeongseop Rha, Dong Jun Oh, Geonhui Son, Jiwoong An, You Jin Kim, Dosik Hwang, Yun Jeong Lim:
Digestive Organ Recognition in Video Capsule Endoscopy Based on Temporal Segmentation Network. 136-146 - Maria Chiara Palumbo, Simone Saitta, Marco Schiariti, Maria Chiara Sbarra, Eleonora Turconi, Gabriella Raccuia, Junling Fu, Villiam Dallolio, Paolo Ferroli, Emiliano Votta, Elena De Momi, Alberto Redaelli:
Mixed Reality and Deep Learning for External Ventricular Drainage Placement: A Fast and Automatic Workflow for Emergency Treatments. 147-156 - Chi Xu, Alfie Roddan, Joseph Davids, Alistair Weld, Haozheng Xu, Stamatia Giannarou:
Deep Regression with Spatial-Frequency Feature Coupling and Image Synthesis for Robot-Assisted Endomicroscopy. 157-166 - Felix Meister, Chloé Audigier, Tiziano Passerini, Èric Lluch, Viorel Mihalef, Andreas K. Maier, Tommaso Mansi:
Fast Automatic Liver Tumor Radiofrequency Ablation Planning via Learned Physics Model. 167-176 - Efklidis Katsaros, Piotr Kopa Ostrowski, Krzysztof Wlódarczak, Emilia Lewandowska, Jacek Ruminski, Damian Siupka-Mróz, Lukasz Lassmann, Anna Jezierska, Daniel Wesierski:
Multi-task Video Enhancement for Dental Interventions. 177-187
Outcome and Disease Prediction
- Jiansheng Fang, Anwei Li, Pu-Yun OuYang, Jiajian Li, Jingwen Wang, Hongbo Liu, Fang-Yun Xie, Jiang Liu:
Weighted Concordance Index Loss-Based Multimodal Survival Modeling for Radiation Encephalopathy Assessment in Nasopharyngeal Carcinoma Radiotherapy. 191-201 - Xin Yu, Qi Yang, Yucheng Tang, Riqiang Gao, Shunxing Bao, Leon Y. Cai, Ho Hin Lee, Yuankai Huo, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman:
Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models. 202-212 - Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro:
Censor-Aware Semi-supervised Learning for Survival Time Prediction from Medical Images. 213-222 - An Zhao, Ahmed H. Shahin, Yukun Zhou, Eyjolfur Gudmundsson, Adam Szmul, Nesrin Mogulkoc, Frouke Van Beek, Christopher Brereton, Hendrik W. Van Es, Katarina Pontoppidan, Recep Savas, Timothy Wallis, Omer Unat, Marcel Veltkamp, Mark G. Jones, Coline H. M. Van Moorsel, David Barber, Joseph Jacob, Daniel C. Alexander:
Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis. 223-233 - Hanci Zheng, Zongying Lin, Qizheng Zhou, Xingchen Peng, Jianghong Xiao, Chen Zu, Zhengyang Jiao, Yan Wang:
Multi-transSP: Multimodal Transformer for Survival Prediction of Nasopharyngeal Carcinoma Patients. 234-243 - Léo Milecki, Vicky Kalogeiton, Sylvain Bodard, Dany Anglicheau, Jean-Michel Correas, Marc-Olivier Timsit, Maria Vakalopoulou:
Contrastive Masked Transformers for Forecasting Renal Transplant Function. 244-254 - Matthew MacPherson, Keerthini Muthuswamy, Ashik Amlani, Charles Hutchinson, Vicky Goh, Giovanni Montana:
Assessing the Performance of Automated Prediction and Ranking of Patient Age from Chest X-rays Against Clinicians. 255-265 - Haoyuan Huang, Baoer Liu, Lijuan Zhang, Yikai Xu, Wu Zhou:
Transformer Based Multi-task Deep Learning with Intravoxel Incoherent Motion Model Fitting for Microvascular Invasion Prediction of Hepatocellular Carcinoma. 266-275 - Christoph Fürböck, Matthias Perkonigg, Thomas Helbich, Katja Pinker, Valeria Romeo, Georg Langs:
Identifying Phenotypic Concepts Discriminating Molecular Breast Cancer Sub-Types. 276-286 - Niharika Shimona D'Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodríguez, Kristen L. Beck, Orest B. Boyko, Tanveer F. Syeda-Mahmood:
Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis. 287-297 - Mayur Mallya, Ghassan Hamarneh:
Deep Multimodal Guidance for Medical Image Classification. 298-308 - Louis Blankemeier, Isabel Gallegos, Juan Manuel Zambrano Chaves, David J. Maron, Alexander T. Sandhu, Fátima Rodriguez, Daniel L. Rubin, Bhavik N. Patel, Marc H. Willis, Robert D. Boutin, Akshay S. Chaudhari:
Opportunistic Incidence Prediction of Multiple Chronic Diseases from Abdominal CT Imaging Using Multi-task Learning. 309-318 - Numan Saeed, Ikboljon Sobirov, Roba Al Majzoub, Mohammad Yaqub:
TMSS: An End-to-End Transformer-Based Multimodal Network for Segmentation and Survival Prediction. 319-329
Surgical Data Science
- Jingwei Song, Qiuchen Zhu, Jianyu Lin, Maani Ghaffari:
Bayesian Dense Inverse Searching Algorithm for Real-Time Stereo Matching in Minimally Invasive Surgery. 333-344 - Matthias Seibold, Armando Hoch, Mazda Farshad, Nassir Navab, Philipp Fürnstahl:
Conditional Generative Data Augmentation for Clinical Audio Datasets. 345-354 - An Wang, Mobarakol Islam, Mengya Xu, Hongliang Ren:
Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need. 355-364 - Xinpeng Ding, Ziwei Liu, Xiaomeng Li:
Free Lunch for Surgical Video Understanding by Distilling Self-supervisions. 365-375 - Mengya Xu, Mobarakol Islam, Hongliang Ren:
Rethinking Surgical Captioning: End-to-End Window-Based MLP Transformer Using Patches. 376-386 - Hao Ding, Jintan Zhang, Peter Kazanzides, Jie Ying Wu, Mathias Unberath:
CaRTS: Causality-Driven Robot Tool Segmentation from Vision and Kinematics Data. 387-398 - Wenjun Lin, Yan Hu, Luoying Hao, Dan Zhou, Mingming Yang, Huazhu Fu, Cheekong Chui, Jiang Liu:
Instrument-tissue Interaction Quintuple Detection in Surgery Videos. 399-409 - Zhenqiang Li, Lin Gu, Weimin Wang, Ryosuke Nakamura, Yoichi Sato:
Surgical Skill Assessment via Video Semantic Aggregation. 410-420 - Junyang Wu, Rong Tao, Guoyan Zheng:
Nonlinear Regression of Remaining Surgical Duration via Bayesian LSTM-Based Deep Negative Correlation Learning. 421-430 - Yuehao Wang, Yonghao Long, Siu Hin Fan, Qi Dou:
Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery. 431-441 - Natalia Valderrama, Paola Ruiz Puentes, Isabela Hernández, Nicolás Ayobi, Mathilde Verlyck, Jessica Santander, Juan Caicedo, Nicolás Fernández, Pablo Arbeláez:
Towards Holistic Surgical Scene Understanding. 442-452 - Muhammad Abdullah Jamal, Omid Mohareri:
Multi-modal Unsupervised Pre-training for Surgical Operating Room Workflow Analysis. 453-463 - Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zhiyong Wang, Zongyuan Ge:
Deep Laparoscopic Stereo Matching with Transformers. 464-474 - Ege Özsoy, Evin Pinar Örnek, Ulrich Eck, Tobias Czempiel, Federico Tombari, Nassir Navab:
4D-OR: Semantic Scene Graphs for OR Domain Modeling. 475-485 - Ziyi Wang, Bo Lu, Yonghao Long, Fangxun Zhong, Tak Hong Cheung, Qi Dou, Yunhui Liu:
AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy. 486-496 - Yitong Zhang, Sophia Bano, Ann-Sophie Page, Jan Deprest, Danail Stoyanov, Francisco Vasconcelos:
Retrieval of Surgical Phase Transitions Using Reinforcement Learning. 497-506 - Chen Lin, Shuai Zheng, Zhizhe Liu, Youru Li, Zhenfeng Zhu, Yao Zhao:
SGT: Scene Graph-Guided Transformer for Surgical Report Generation. 507-518 - Shawn Mathew, Saad Nadeem, Arie E. Kaufman:
CLTS-GAN: Color-Lighting-Texture-Specular Reflection Augmentation for Colonoscopy. 519-529 - Ali Mottaghi, Aidean Sharghi, Serena Yeung, Omid Mohareri:
Adaptation of Surgical Activity Recognition Models Across Operating Rooms. 530-540 - Mona Fathollahi, Mohammad Hasan Sarhan, Ramon Pena, Lela DiMonte, Anshu Gupta, Aishani Ataliwala, Jocelyn Barker:
Video-Based Surgical Skills Assessment Using Long Term Tool Tracking. 541-550 - Jihun Yoon, SeulGi Hong, Seungbum Hong, Jiwon Lee, Soyeon Shin, Bokyung Park, Nakjun Sung, Hayeong Yu, Sungjae Kim, SungHyun Park, Woo Jin Hyung, Min-Kook Choi:
Surgical Scene Segmentation Using Semantic Image Synthesis with a Virtual Surgery Environment. 551-561
Surgical Planning and Simulation
- Xi Fang, Daeseung Kim, Xuanang Xu, Tianshu Kuang, Hannah H. Deng, Joshua C. Barber, Nathan Lampen, Jaime Gateno, Michael A. K. Liebschner, James J. Xia, Pingkun Yan:
Deep Learning-Based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement. 565-574 - Bin Wang, Lin Teng, Lanzhuju Mei, Zhiming Cui, Xuanang Xu, Qianjin Feng, Dinggang Shen:
Deep Learning-Based Head and Neck Radiotherapy Planning Dose Prediction via Beam-Wise Dose Decomposition. 575-584 - Chenchen Qin, Wenxue Zhou, Jianbo Chang, Yihao Chen, Dasheng Wu, Yixun Liu, Ming Feng, Renzhi Wang, Wenming Yang, Jianhua Yao:
Ideal Midsagittal Plane Detection Using Deep Hough Plane Network for Brain Surgical Planning. 585-593 - Ashley Bruce, Michael Beyeler:
Greedy Optimization of Electrode Arrangement for Epiretinal Prostheses. 594-603 - Samyakh Tukra, Stamatia Giannarou:
Stereo Depth Estimation via Self-supervised Contrastive Representation Learning. 604-614 - Florian Kordon, Andreas K. Maier, Benedict Swartman, Maxim Privalov, Jan Siad El Barbari, Holger Kunze:
Deep Geometric Supervision Improves Spatial Generalization in Orthopedic Surgery Planning. 615-625 - Filipe C. Pedrosa, Navid Feizi, Ruisi Zhang, Rémi Delaunay, Dianne Sacco, Jayender Jagadeesan, Rajni V. Patel:
On Surgical Planning of Percutaneous Nephrolithotomy with Patient-Specific CTRs. 626-635
Machine Learning - Domain Adaptation and Generalization
- Fuyong Xing, Toby C. Cornish:
Low-Resource Adversarial Domain Adaptation for Cross-modality Nucleus Detection. 639-649 - Shishuai Hu, Zehui Liao, Yong Xia:
Domain Specific Convolution and High Frequency Reconstruction Based Unsupervised Domain Adaptation for Medical Image Segmentation. 650-659 - Jun Gao, Qicheng Lao, Qingbo Kang, Paul Liu, Le Zhang, Kang Li:
Unsupervised Cross-disease Domain Adaptation by Lesion Scale Matching. 660-670 - Yanwu Xu, Shaoan Xie, Maxwell Reynolds, Matthew Ragoza, Mingming Gong, Kayhan Batmanghelich:
Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation. 671-681 - Yi Zhou, Shaochen Bai, Tao Zhou, Yu Zhang, Huazhu Fu:
Delving into Local Features for Open-Set Domain Adaptation in Fundus Image Analysis. 682-692 - Zeju Li, Konstantinos Kamnitsas, Mobarakol Islam, Chen Chen, Ben Glocker:
Estimating Model Performance Under Domain Shifts with Class-Specific Confidence Scores. 693-703 - Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris:
vMFNet: Compositionality Meets Domain-Generalised Segmentation. 704-714 - Canran Li, Dongnan Liu, Haoran Li, Zheng Zhang, Guangming Lu, Xiaojun Chang, Weidong Cai:
Domain Adaptive Nuclei Instance Segmentation and Classification via Category-Aware Feature Alignment and Pseudo-Labelling. 715-724 - Julia Wolleb, Robin Sandkühler, Florentin Bieder, Muhamed Barakovic, Nouchine Hadjikhani, Athina Papadopoulou, Özgür Yaldizli, Jens Kuhle, Cristina Granziera, Philippe C. Cattin:
Learn to Ignore: Domain Adaptation for Multi-site MRI Analysis. 725-735 - Tao Hu, Hayato Itoh, Masahiro Oda, Yuichiro Hayashi, Zhongyang Lu, Shinji Saiki, Nobutaka Hattori, Koji Kamagata, Shigeki Aoki, Kanako K. Kumamaru, Toshiaki Akashi, Kensaku Mori:
Enhancing Model Generalization for Substantia Nigra Segmentation Using a Test-time Normalization-Based Method. 736-744 - Xiaoyi Sun, Zhizhe Liu, Shuai Zheng, Chen Lin, Zhenfeng Zhu, Yao Zhao:
Attention-Enhanced Disentangled Representation Learning for Unsupervised Domain Adaptation in Cardiac Segmentation. 745-754 - Pengfei Diao, Akshay Pai, Christian Igel, Christian Hedeager Krag:
Histogram-Based Unsupervised Domain Adaptation for Medical Image Classification. 755-764 - Wen Li, Saikit Lam, Tian Li, Andy Lai-Yin Cheung, Haonan Xiao, Chenyang Liu, Jiang Zhang, Xinzhi Teng, Shaohua Zhi, Ge Ren, Francis Kar-ho Lee, Kwok-hung Au, Victor Ho-fun Lee, Amy Tien Yee Chang, Jing Cai:
Multi-institutional Investigation of Model Generalizability for Virtual Contrast-Enhanced MRI Synthesis. 765-773
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