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Found 19 publication records. Showing 19 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | 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 |
DBLP DOI BibTeX RDF |
|
| 1 | 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 |
DBLP DOI BibTeX RDF |
|
| 1 | Kaveri A. Thakoor, Ari Carter, Ge Song, Adam Wax, Omar Moussa, Royce W. S. Chen, Christine Hendon, Paul Sajda |
Enhancing Portable OCT Image Quality via GANs for AI-Based Eye Disease Detection. |
DeCaF/FAIR@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Dimitris Stripelis, Umang Gupta, Nikhil J. Dhinagar, Greg Ver Steeg, Paul M. Thompson, José Luis Ambite |
Towards Sparsified Federated Neuroimaging Models via Weight Pruning. |
DeCaF/FAIR@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Malte Tölle, Ullrich Köthe, Florian André, Benjamin Meder, Sandy Engelhardt |
Content-Aware Differential Privacy with Conditional Invertible Neural Networks. |
DeCaF/FAIR@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Sourav Kumar, Anantharaman 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 |
DBLP DOI BibTeX RDF |
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| 1 | Holger R. Roth, Ali Hatamizadeh, Ziyue Xu 0001, Can Zhao 0001, Wenqi Li 0001, Andriy Myronenko, Daguang Xu |
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-modal Brain Tumor Segmentation. |
DeCaF/FAIR@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | 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 |
DBLP DOI BibTeX RDF |
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| 1 | 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 |
DBLP DOI BibTeX RDF |
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| 1 | Shadi Albarqouni, Spyridon Bakas, Sophia Bano, M. Jorge Cardoso, Bishesh Khanal, Bennett A. Landman, Xiaoxiao Li, Chen Qin, Islem Rekik, Nicola Rieke, Holger Roth, Debdoot Sheet, Daguang Xu (eds.) |
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 |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | 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 |
DBLP DOI BibTeX RDF |
|
| 1 | Rakshith Sathish, Swanand R. Khare, Debdoot Sheet |
Verifiable and Energy Efficient Medical Image Analysis with Quantised Self-attentive Deep Neural Networks. |
DeCaF/FAIR@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | 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 |
DBLP DOI BibTeX RDF |
|
| 1 | 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 |
DBLP DOI BibTeX RDF |
|
| 1 | 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 |
DBLP DOI BibTeX RDF |
|
| 1 | 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 |
DBLP DOI BibTeX RDF |
|
| 1 | Dmitrii Usynin, Helena Klause, Johannes C. Paetzold, Daniel Rueckert, Georgios Kaissis |
Can Collaborative Learning Be Private, Robust and Scalable? |
DeCaF/FAIR@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Chen Shen 0002, Pochuan Wang, Dong Yang 0005, 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 |
DBLP DOI BibTeX RDF |
|
| 1 | Ekansh Chauhan, Swathi Guptha, Likith Reddy, Raju S. Bapi |
LRH-Net: A Multi-level Knowledge Distillation Approach for Low-Resource Heart Network. |
DeCaF/FAIR@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
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