- Ario Sadafi, Matthias Hehr, Nassir Navab, Carsten Marr:
A Study of Age and Sex Bias in Multiple Instance Learning Based Classification of Acute Myeloid Leukemia Subtypes. CLIP/FAIMI/EPIMI@MICCAI 2023: 256-265 - Oded Schlesinger, Raj Kundu, Stefan M. Goetz, Guillermo Sapiro, Angel V. Peterchev, J. Matías Di Martino:
Automatic Neurocranial Landmarks Detection from Visible Facial Landmarks Leveraging 3D Head Priors. CLIP/FAIMI/EPIMI@MICCAI 2023: 12-20 - Guy Shani, Moti Freiman
, Yosef E. Maruvka:
An Efficient and Accurate Neural Network Tool for Finding Correlation Between Gene Expression and Histological Images. CLIP/FAIMI/EPIMI@MICCAI 2023: 81-88 - Raissa Souza, Emma A. M. Stanley, Nils D. Forkert:
On the Relationship Between Open Science in Artificial Intelligence for Medical Imaging and Global Health Equity. CLIP/FAIMI/EPIMI@MICCAI 2023: 289-300 - Rebecca S. Stone, Pedro Esteban Chavarrias-Solano, Andrew J. Bulpitt, David C. Hogg, Sharib Ali:
Bayesian Uncertainty-Weighted Loss for Improved Generalisability on Polyp Segmentation Task. CLIP/FAIMI/EPIMI@MICCAI 2023: 153-162 - Yael Tudela, Ana García-Rodríguez, Gloria Fernández-Esparrach, Jorge Bernal:
Towards Fine-Grained Polyp Segmentation and Classification. CLIP/FAIMI/EPIMI@MICCAI 2023: 32-42 - Nina Weng, Siavash Bigdeli, Eike Petersen, Aasa Feragen:
Are Sex-Based Physiological Differences the Cause of Gender Bias for Chest X-Ray Diagnosis? CLIP/FAIMI/EPIMI@MICCAI 2023: 142-152 - Chenwei Wu, Xiyu Yang, Emil Ghitman Gilkes, Hanwen Cui, Jiheon Choi, Na Sun, Ziqian Liao, Bo Fan, Mauricio Santillana, Leo A. Celi, Paolo Silva, Luis Filipe Nakayama:
De-identification and Obfuscation of Gender Attributes from Retinal Scans. CLIP/FAIMI/EPIMI@MICCAI 2023: 91-101 - Lukas Zerweck, Stefan Wesarg, Jörn Kohlhammer, Michaela Köhm:
Automated Hand Joint Classification of Psoriatic Arthritis Patients Using Routinely Acquired Near Infrared Fluorescence Optical Imaging. CLIP/FAIMI/EPIMI@MICCAI 2023: 3-11 - Stefan Wesarg, Esther Puyol-Antón, John S. H. Baxter, Marius Erdt, Klaus Drechsler, Cristina Oyarzun Laura, Moti Freiman, Yufei Chen, Islem Rekik, Roy Eagleson, Aasa Feragen, Andrew P. King, Veronika Cheplygina, Melanie Ganz-Benjaminsen, Enzo Ferrante, Ben Glocker, Daniel Moyer, Eike Petersen:
Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging - 12th International Workshop, CLIP 2023 1st International Workshop, FAIMI 2023 and 2nd International Workshop, EPIMI 2023 Vancouver, BC, Canada, October 8 and October 12, 2023 Proceedings. Lecture Notes in Computer Science 14242, Springer 2023, ISBN 978-3-031-45248-2 [contents] - 2021
- Jianhui Chen, Hui Qian, Xiaoliang Gong:
Bayesian Graph Neural Networks for EEG-Based Emotion Recognition. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 24-33 - Di Fan, Yifan Wu, Xiaoxiao Li:
On the Fairness of Swarm Learning in Skin Lesion Classification. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 120-129 - Maria Gabrani, Ender Konukoglu, David Beymer, Gustavo Carneiro, Jannis Born, Michal Guindy, Michal Rosen-Zvi:
Lessons Learned from the Development and Application of Medical Imaging-Based AI Technologies for Combating COVID-19: Why Discuss, What Next. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 133-140 - Gautam Rajendrakumar Gare, Wanwen Chen, Alex Ling Yu Hung, Edward Chen, Hai V. Tran, Tom Fox, Peter Lowery, Kevin Zamora, Bennett P. deBoisblanc, Ricardo Luis Rodriguez, John Michael Galeotti:
The Role of Pleura and Adipose in Lung Ultrasound AI. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 141-149 - Przemyslaw Jablecki, Filip Slazyk, Maciej Malawski:
Federated Learning in the Cloud for Analysis of Medical Images - Experience with Open Source Frameworks. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 111-119 - Celia Le, Romain Deleat-Besson, Najla Al Turkestani, Lucia H. S. Cevidanes, Jonas Bianchi, Winston Zhang, Marcela Gurgel, Hina Shah, Juan Prieto, Tengfei Li:
TMJOAI: An Artificial Web-Based Intelligence Tool for Early Diagnosis of the Temporomandibular Joint Osteoarthritis. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 78-87 - Yunfei Long, Senhua Zhu, Dandan Tu:
DuCN: Dual-Children Network for Medical Diagnosis and Similar Case Recommendation Towards COVID-19. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 150-159 - Hirohisa Oda, Yuichiro Hayashi, Takayuki Kitasaka, Aitaro Takimoto, Akinari Hinoki, Hiroo Uchida, Kojiro Suzuki, Masahiro Oda, Kensaku Mori:
Intestine Segmentation with Small Computational Cost for Diagnosis Assistance of Ileus and Intestinal Obstruction. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 3-12 - Masahiro Oda, Tong Zheng, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori:
COVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertainty. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 88-97 - William Paul, Yinzhi Cao, Miaomiao Zhang, Philippe Burlina:
Defending Medical Image Diagnostics Against Privacy Attacks Using Generative Methods: Application to Retinal Diagnostics. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 174-187 - Adrit Rao, Akshay Chaudhari, Oliver O. Aalami:
Development of the Next Generation Hand-Held Doppler with Waveform Phasicity Predictive Capabilities Using Deep Learning. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 56-67 - Jonatan Reyes, Yiming Xiao, Marta Kersten-Oertel:
Data Imputation and Reconstruction of Distributed Parkinson's Disease Clinical Assessments: A Comparative Evaluation of Two Aggregation Algorithms. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 163-173 - Abhinav Sagar:
ViTBIS: Vision Transformer for Biomedical Image Segmentation. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 34-45 - Chen Shen, Holger R. Roth, Yuichiro Hayashi, Masahiro Oda, Tadaaki Miyamoto, Gen Sato, Kensaku Mori:
Attention-Guided Pancreatic Duct Segmentation from Abdominal CT Volumes. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 46-55 - Chen Shen, Pochuan Wang, Holger R. Roth, Dong Yang, Daguang Xu, Masahiro Oda, Weichung Wang, Chiou-Shann Fuh, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Kensaku Mori:
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 101-110 - Austin Tapp, Christian Payer, Jérôme Schmid, Michael Polanco, Isaac Kumi, Sebastian Y. Bawab, Stacie Ringleb, Carl St. Remy, James Bennett, Rumit Singh Kakar, Michel A. Audette:
Generation of Patient-Specific, Ligamentoskeletal, Finite Element Meshes for Scoliosis Correction Planning. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 13-23 - Siri Willems, Heleen Bollen, Julie Van Der Veen, Edmond Sterpin, Wouter Crijns, Sandra Nuyts, Frederik Maes:
Learning from Mistakes: An Error-Driven Mechanism to Improve Segmentation Performance Based on Expert Feedback. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 68-77 - Cristina Oyarzun Laura, M. Jorge Cardoso, Michal Rosen-Zvi, Georgios Kaissis, Marius George Linguraru, Raj Shekhar, Stefan Wesarg, Marius Erdt, Klaus Drechsler, Yufei Chen, Shadi Albarqouni, Spyridon Bakas, Bennett A. Landman, Nicola Rieke, Holger Roth, Xiaoxiao Li, Daguang Xu, Maria Gabrani, Ender Konukoglu, Michal Guindy, Daniel Rueckert, Alexander Ziller, Dmitrii Usynin, Jonathan Passerat-Palmbach:
Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning - 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Workshop, LL-COVID19 2021, and First Workshop and Tutorial, PPML 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings. Lecture Notes in Computer Science 12969, Springer 2021, ISBN 978-3-030-90873-7 [contents] - 2019
- Tim J. Adler, Leonardo Ayala, Lynton Ardizzone, Hannes Kenngott, Anant Suraj Vemuri, Beat P. Müller-Stich, Carsten Rother, Ullrich Köthe, Lena Maier-Hein:
Out of Distribution Detection for Intra-operative Functional Imaging. UNSURE/CLIP@MICCAI 2019: 75-82 - Mikael Agn, Koen Van Leemput:
Fast Nonparametric Mutual-Information-based Registration and Uncertainty Estimation. UNSURE/CLIP@MICCAI 2019: 42-51
