The harmonization paper is accepted to NeuroImage Clinical!
Congratulation to Max Reynolds for his first journal in NeuroImage Clinical Journal! The paper revisits the COMBAT method from a fully Bayesian point of view.
Two early acceptances in MICCAI 2023!
Congratulations to Shantanu and Matthew for their first papers in MICCAI, both early accept! I am very proud of them. Links to the paper and code are coming out soon.
Imaging-Transcriptomics paper is accept to the COPD journal!
We use DL techniques to define new COPD axes using CT imaging and gene expression data. Congratulation to Junxiang for his paper in the COPD Journal! The pre-print is here!
One paper is accepted to ICML 23!
Congratulations to Shantanu and Ke! Their first paper is accepted to ICML 2023. Find the paper, code, and more on the project page.
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!