News

Sep 28
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!

Sep 13
Our paper is accepted to Radiology AI!

Congratulations to Brian! His paper about estimating liver elastography is accepted to the Radiology AI journal!

Jun 11
Two papers are accepted to MICCAI 2021!

Two papers are accepted in the MICCAI 2021! Congratulations to Sumedha and Rohit!

May 14
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!

May 13
One Early Acceptance to MICCAI!

I am excited for Rohit Jena! His paper received Early Acceptance in MICCAI 2021! Pre-print is here!

Dec 02
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!

Oct 22
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.

Oct 16
Brian and Stephen won an award for the liver project!

Congratulations to Brian! His collaborative work with Stephen Cai and Amir Borhani on estimating liver stiffness using a machine learning method received Cum Laude Award from the 43rd Society of Body Imaging Conference.

Sep 26
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!

Aug 21
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!

Jan 18
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!

Oct 02
Giving a talk at SAP Machine Learning Retreat!

Excited to give a talk about our recent NeurIPS paper at SAP Research Retreat!

Sep 04
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.

Feb 12
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!

May 09
05/09/2018

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).

Apr 29
04/29/2018

Congratulations to Sumedha for the Early Acceptance of her first paper to MICCAI!

Apr 27
04/27/2018

We are awarded $390K to develop methods for multimodal learning in collaboration with SAP research.

Feb 19
02/19/2018

Congratulations to Mingming Gong–two CVPR papers have been accepted!