Author: Kayhan Batmanghelich

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.

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.

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!

Congratulations to Shantanu and Ke! Their first paper is accepted to ICML 2023. Find the paper, code, and more on the project page.

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!

Happy for Yingci! Her manuscript has been accepted to Oral Oncology!

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! Congrats to Ke Yu, Yanwu Xu, and Shantanu Ghosh!

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!

Congratulations to Yanwu for his CVPR paper! His method uses the Maximal Spatial Perturbation idea that significantly enhances image-to-image translation!