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!
Invited for Senior Vice Chancellor’s Research Seminar!
I’m very honored to give Senior Vice Chancellor’s Research Seminar today. I’ll present research done by brilliant students and postdocs at BatmanLab!
One Early Acceptance to MICCAI!
I am excited for Rohit Jena! His paper received Early Acceptance in MICCAI 2021! Pre-print is here!
One paper is accepted to AAAI 2021!
Congratulations to Li Sun and Ke Yu for their joint paper in AAAI 2021! Their paper show how to incorporate anatomically relevant context to self-supervised learning!
Ke’s journal is accepted to ACM JCIM!
Congratulations to Ke Yu! His paper is accepted to the Journal of Chemical Information and Modeling. The method integrates drug taxonomy with chemical structure and enables localizing novel molecules in the context of the clinically approved drugs.
Our paper is accepted to the Oxford Bioinformatics Journal!
Congratulations to Mingming Gong! His awesome paper (Preprint) is accepted to the Oxford Bioinformatics Journal! Fundamental and rigorous research for inference of statical independence which uses unpaired data!
Giving talk at the Oxford ML Summer School!
I am excited to present at the Oxford ML Summer School (OxML 2020)! I will talk about various applications and challenges of Machine Learning in Medical Imaging!
Giving a talk in DeepMind about XAI for Healthcare!
Excited to give a talk in DeepMind about Real-World Applications of Explainable Models in Medical Imaging!
Giving a talk at SAP Machine Learning Retreat!
Excited to give a talk about our recent NeurIPS paper at SAP Research Retreat!
Our paper is accepted to NeurIPs as a spotlight paper!
Our manuscript is accepted to NeurIPS 2019 (Spotlight 2.4%)! Big congrats to Mingming and Yanwu! The code is in this repo.
Mingming will be Lecturer at Stat Department in Melbourne University!
First BatmanLab alumni! Congratulation to Mingming for accepting a new position as a lecturer (Assistant Professor) at the School of Mathematics and Statistics at the University of Melbourne!
We are awarded a large R01 ($2.8M with indirect) to develop an approach to integrate Radiomic data with Genetic for characterization of Chronic Obstructive Pulmonary Disease (COPD).
Congratulations to Sumedha for the Early Acceptance of her first paper to MICCAI!
We are awarded $390K to develop methods for multimodal learning in collaboration with SAP research.
Congratulations to Mingming Gong–two CVPR papers have been accepted!