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!
Engineering/Management Position for Brain Monitoring Software During Surgery
We are developing a clinical tool based on deep learning to automatically detect stroke during surgery and alert the surgical team to avert complications and save lives. We are uniquely positioned at the intersection of the largest health care system
Data Analyst in Machine Learning and Healthcare
We are seeking a full-time staff Data Analyst to perform statistical programming and analyses of medical image data related to a broad scope of investigational research in brain and lung imaging. The data analysis joins a young and vibrant group of
Graduate Student
I am always looking for genuinely motivated students for my lab in medical vision, machine learning, and statistics. If you are sending me an email, please make sure you include all of the following allĀ four items, (1) CV (2) Bachelor Transcript (3)
Explanation by Progressive Exaggeration
S. Singla, B. Pollack, J. Chen, K. Batmanghelich Eighth International Conference on Learning Representations (ICLR)
One paper is accepted to ICML 2020!
Our paper (Label-Noise Robust Domain Adaptation) is accepted to ICML 2020! Congrats to Xiyu Yu and the team!
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!
Twin Auxiliary Classifiers GAN
M.*, Y. Xu*, Ch. Li, Kun Zhang, K. Batmanghelich (*: equal contribution) NeurIPS 2019 [Spotlight 2.4%]