DeCaF/FAIR@MICCAI

Keyphrases

Publications

2022

Garima Aggarwal, Chun-Yin Huang, Di Fan, Xiaoxiao Li, Zehua Wang
DeMed: A Novel and Efficient Decentralized Learning Framework for Medical Images Classification on Blockchain. DeCaF/FAIR@MICCAI (2022)
Huiyu Li, Nicholas Ayache, Hervé Delingette
Data Stealing Attack on Medical Images: Is It Safe to Export Networks from Data Lakes? DeCaF/FAIR@MICCAI (2022)
Kaveri A. Thakoor, Ari Carter, Ge Song, Adam Wax, Omar Moussa, Royce Chen, Christine Hendon, Paul Sajda
Enhancing Portable OCT Image Quality via GANs for AI-Based Eye Disease Detection. DeCaF/FAIR@MICCAI (2022)
Dimitris Stripelis, Umang Gupta, Nikhil Dhinagar, Greg Ver Steeg, Paul M. Thompson, José Luis Ambite
Towards Sparsified Federated Neuroimaging Models via Weight Pruning. DeCaF/FAIR@MICCAI (2022)
Malte Tölle, Ullrich Köthe, Florian André, Benjamin Meder, Sandy Engelhardt
Content-Aware Differential Privacy with Conditional Invertible Neural Networks. DeCaF/FAIR@MICCAI (2022)
Sourav Kumar, A. Lakshminarayanan, Ken Chang, Feri Guretno, Ivan Ho Mien, Jayashree Kalpathy-Cramer, Pavitra Krishnaswamy, Praveer Singh
Towards More Efficient Data Valuation in Healthcare Federated Learning Using Ensembling. DeCaF/FAIR@MICCAI (2022)
Holger R. Roth, Ali Hatamizadeh, Ziyue Xu, Can Zhao, Wenqi Li, Andriy Myronenko, Daguang Xu
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-modal Brain Tumor Segmentation. DeCaF/FAIR@MICCAI (2022)
Onat Dalmaz, Usama Mirza, Gökberk Elmas, Muzaffer Özbey, Salman Ul Hassan Dar, Tolga Çukur
A Specificity-Preserving Generative Model for Federated MRI Translation. DeCaF/FAIR@MICCAI (2022)
Chenyu You, Jinlin Xiang, Kun Su, Xiaoran Zhang, Siyuan Dong, John A. Onofrey, Lawrence H. Staib, James S. Duncan
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation. DeCaF/FAIR@MICCAI (2022)
Yousef Yeganeh, Azade Farshad, Johann Boschmann, Richard Gaus, Maximilian Frantzen, Nassir Navab
FedAP: Adaptive Personalization in Federated Learning for Non-IID Data. DeCaF/FAIR@MICCAI (2022)
Rakshith Sathish, Swanand Khare, Debdoot Sheet
Verifiable and Energy Efficient Medical Image Analysis with Quantised Self-attentive Deep Neural Networks. DeCaF/FAIR@MICCAI (2022)
Seyedeh Maryam Hosseini, Milad Sikaroudi, Morteza Babaie, Hamid R. Tizhoosh
Cluster Based Secure Multi-party Computation in Federated Learning for Histopathology Images. DeCaF/FAIR@MICCAI (2022)
Germain Morilhat, Naomi Kifle, Sandra FinesilverSmith, Bram Ruijsink, Vittoria Vergani, Habtamu Tegegne Desita, Zerubabel Tegegne Desita, Esther Puyol-Antón, Aaron Carass, Andrew P. King
Deep Learning-Based Segmentation of Pleural Effusion from Ultrasound Using Coordinate Convolutions. DeCaF/FAIR@MICCAI (2022)
Matteo Pennisi, Federica Proietto Salanitri, Simone Palazzo, Carmelo Pino, Francesco Rundo, Daniela Giordano, Concetto Spampinato
GAN Latent Space Manipulation and Aggregation for Federated Learning in Medical Imaging. DeCaF/FAIR@MICCAI (2022)
Klaus Kades, Jonas Scherer, Maximilian Zenk, Marius Kempf, Klaus H. Maier-Hein
Towards Real-World Federated Learning in Medical Image Analysis Using Kaapana. DeCaF/FAIR@MICCAI (2022)
Dmitrii Usynin, Helena Klause, Johannes C. Paetzold, Daniel Rueckert, Georgios Kaissis
Can Collaborative Learning Be Private, Robust and Scalable? DeCaF/FAIR@MICCAI (2022)
Chen Shen, Pochuan Wang, Dong Yang, Daguang Xu, Masahiro Oda, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Chiou-Shann Fuh, Kensaku Mori, Weichung Wang, Holger R. Roth
Joint Multi Organ and Tumor Segmentation from Partial Labels Using Federated Learning. DeCaF/FAIR@MICCAI (2022)
Ekansh Chauhan, Swathi Guptha, Likith Reddy, Bapi S. Raju
LRH-Net: A Multi-level Knowledge Distillation Approach for Low-Resource Heart Network. DeCaF/FAIR@MICCAI (2022)

volume 13573, 2022

Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health - Third MICCAI Workshop, DeCaF 2022, and Second MICCAI Workshop, FAIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings DeCaF/FAIR@MICCAI 13573 (2022)