DART/FAIR@MICCAI

Keyphrases

Publications

2021

Marius Memmel, Camila González, Anirban Mukhopadhyay
Adversarial Continual Learning for Multi-domain Hippocampal Segmentation. DART/FAIR@MICCAI (2021)
Samuel Budd, Thomas Day, John M. Simpson, Karen Lloyd, Jacqueline Matthew, Emily Skelton, Reza Razavi, Bernhard Kainz
Can Non-specialists Provide High Quality Gold Standard Labels in Challenging Modalities? DART/FAIR@MICCAI (2021)
Minghui Zhang, Xin Yu, Hanxiao Zhang, Hao Zheng, Weihao Yu, Hong Pan, Xiangran Cai, Yun Gu
FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation. DART/FAIR@MICCAI (2021)
Rija Tonny Christian Ramarolahy, Esther Opoku Gyasi, Alessandro Crimi
Classification and Generation of Microscopy Images with Plasmodium Falciparum via Artificial Neural Networks Using Low Cost Settings. DART/FAIR@MICCAI (2021)
Dwarikanath Mahapatra, Behzad Bozorgtabar, Shiba Kuanar, Zongyuan Ge
Self-supervised Multimodal Generalized Zero Shot Learning for Gleason Grading. DART/FAIR@MICCAI (2021)
Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Sotirios A. Tsaftaris, Douglas L. Arnold, Tal Arbel
Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation. DART/FAIR@MICCAI (2021)
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training. DART/FAIR@MICCAI (2021)
Eleni Chiou, Francesco Giganti, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki
Unsupervised Domain Adaptation with Semantic Consistency Across Heterogeneous Modalities for MRI Prostate Lesion Segmentation. DART/FAIR@MICCAI (2021)
Alpay Tekin, Ahmed Nebli, Islem Rekik
Recurrent Brain Graph Mapper for Predicting Time-Dependent Brain Graph Evaluation Trajectory. DART/FAIR@MICCAI (2021)
Shujaat Khan, Jaeyoung Huh, Jong Chul Ye
Contrast and Resolution Improvement of POCUS Using Self-consistent CycleGAN. DART/FAIR@MICCAI (2021)
Basar Demir, Alaa Bessadok, Islem Rekik
Inter-domain Alignment for Predicting High-Resolution Brain Networks Using Teacher-Student Learning. DART/FAIR@MICCAI (2021)
Alexander MacLean, Saad Abbasi, Ashkan Ebadi, Andy Zhao, Maya Pavlova, Hayden Gunraj, Pengcheng Xi, Sonny Kohli, Alexander Wong
COVID-Net US: A Tailored, Highly Efficient, Self-attention Deep Convolutional Neural Network Design for Detection of COVID-19 Patient Cases from Point-of-Care Ultrasound Imaging. DART/FAIR@MICCAI (2021)
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning. DART/FAIR@MICCAI (2021)
Shikhar Srivastava, Mohammad Yaqub, Karthik Nandakumar, Zongyuan Ge, Dwarikanath Mahapatra
Continual Domain Incremental Learning for Chest X-Ray Classification in Low-Resource Clinical Settings. DART/FAIR@MICCAI (2021)
Konstantinos Kamnitsas, Stefan Winzeck, Evgenios N. Kornaropoulos, Daniel Whitehouse, Cameron Englman, Poe Phyu, Norman Pao, David K. Menon, Daniel Rueckert, Tilak Das, Virginia F. J. Newcombe, Ben Glocker
Transductive Image Segmentation: Self-training and Effect of Uncertainty Estimation. DART/FAIR@MICCAI (2021)
Viswanath P. Sudarshan, Athulkumar R, K. Pavan Kumar Reddy, Jayavardhana Gubbi, Balamuralidhar Purushothaman
Low-Dose Dynamic CT Perfusion Denoising Without Training Data. DART/FAIR@MICCAI (2021)
Ziyu Ye, Chen Ju, Chaofan Ma, Xiaoyun Zhang
Unsupervised Domain Adaption via Similarity-Based Prototypes for Cross-Modality Segmentation. DART/FAIR@MICCAI (2021)
Vikash Gupta, Clayton Taylor, Sarah Bonnet, Luciano M. Prevedello, Jeffrey Hawley, Richard D. White, Mona G. Flores, Barbaros Selnur Erdal
Deep Learning Based Automatic Detection of Adequately Positioned Mammograms. DART/FAIR@MICCAI (2021)
Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Battistella, Théophraste Henry, Marvin Lerousseau, Amaury Leroy, Guillaume Chassagnon, Marie-Pierre Revel, Nikos Paragios, Eric Deutsch
Exploring Deep Registration Latent Spaces. DART/FAIR@MICCAI (2021)
Ario Sadafi, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
Sickle Cell Disease Severity Prediction from Percoll Gradient Images Using Graph Convolutional Networks. DART/FAIR@MICCAI (2021)
Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Ruibin Feng, Michael B. Gotway, Jianming Liang
A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis. DART/FAIR@MICCAI (2021)
Gregory Filbrandt, Konstantinos Kamnitsas, David Bernstein, Alexandra Taylor, Ben Glocker
Learning from Partially Overlapping Labels: Image Segmentation Under Annotation Shift. DART/FAIR@MICCAI (2021)
Dwarikanath Mahapatra, Shiba Kuanar, Behzad Bozorgtabar, Zongyuan Ge
Self-supervised Learning of Inter-label Geometric Relationships for Gleason Grade Segmentation. DART/FAIR@MICCAI (2021)

volume 12968, 2021

Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health - Third MICCAI Workshop, DART 2021, and First MICCAI Workshop, FAIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings DART/FAIR@MICCAI 12968 (2021)