One paper is accepted to WACV!
Congrats to Sumedha and Nihal for their paper in WACV! They showed how our previous work on Counterfactual Explainer could be used to fix an overconfident BlackBox classifier!
Yingci’s manuscript is accepted to the oral oncology!
Happy for Yingci! Her manuscript has been accepted to Oral Oncology!
Counterfactual blackbox explanation paper is accepted to MedIA!
Congratulation to Sumedha and her team! Her manuscript on counterfactual model explanation paper is finally accepted for a special issue in MedIA about XAI! The very initial pre-print is here; the full version is coming out soon! I am thankful to Motahare
Two papers are accepted in MICCAI 2022!
Two papers are accepted in MICCAI 2022! Congrats to Ke Yu, Yanwu Xu, and Shantanu Ghosh!
An efficient 3D GANs is finally out!
Congratulations to Li and his team for their big paper in IEEE JBHI that makes volumetric GANs possible for high-resolution medical images. They made a huge effort, and I am proud of them!
Yanwu’s Paper about Adversarial Spatial Perturbation is accepted to CVPR!
Congratulations to Yanwu for his CVPR paper! His method uses the Maximal Spatial Perturbation idea that significantly enhances image-to-image translation!
Our paper about Knowledge Distillation is accepted to AAAI 21!
Congratulations to Ardavan, Li! Their paper is accepted to AAAI 21! The link and code will be posted soon.
Our collaborative work with MIT is accepted to NeurIPS!
Our collaborative work with Suvrit's group about shortcuts in Self-supervised Learning is accepted to NeurIPS! Congratulations to Joshua, Li, and Ke!
Our paper is accepted to Radiology AI!
Congratulations to Brian! His paper about estimating liver elastography is accepted to the Radiology AI journal!
Two papers are accepted to MICCAI 2021!
Two papers are accepted in the MICCAI 2021! Congratulations to Sumedha and Rohit!