gloom I am a fifth year PhD student at the University of Wisconsin - Madison. My advisor is Vikas Singh. My research interests are medical imaging, computer vision, machine learning and optimization. [CV] [Google scholar]

See Project (for details) or Publication for the list of research projects.



[Recent Project] Conditional Generation of Longitudinal Neuroimaging Samples:

AV45 accumulation vs. AD progression using Conditional Recurrent Flow (CRow)

Our Generation
(Top)

Our Generation
(Right hemisphere)

Our Generation
(Front)

AV45
(SUVR)

Real Data
(Top)

Real Data
(Right hemisphere)

Real Data
(Front)

AV45
(SUVR)



News

Nov. 2018: arXiv on Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples with Applications to Neuroimaging
Oct. 2018: Accepted to NeuroImage: Clinical on "Cerebrospinal fluid biomarkers of neurofibrillary tangles and synaptic dysfunction are associated with longitudinal decline in white matter connectivity: A multi-resolution graph analysis"
Sept. 2018: Accepted to Brain Connectivity on "Associations between PET Amyloid Pathology and DTI Brain Connectivity in Preclinical Alzheimer's Disease"
Summer 2018: Internship at Google Research / Google AI with Joonseok Lee, Mountain View, USA.
Apr. 2018: arXiv on Sampling-free Uncertainty Estimation in Gated Recurrent Units with Exponential Families
Apr. 2018: Accepted to AAIC 2018, Chicago, USA.
Feb. 2018: Accepted to CVPR 2018, Salt Lake City, USA.
Apr. 2017: Accepted to AAIC 2017, London, England.
Mar. 2017: Accepted to CVPR 2017, Honolulu, USA.
Jul. 2016: Added new code: [MATLAB Toolbox] High quality fiber tract 3D visualization (soon available)
Jul. 2016: Accepted to ECCV 2016, Amsterdam, the Netherlands.
Mar. 2016: Accepted to AAIC 2016, Toronto, Canada. (oral)
Feb. 2016: Accepted to CVPR 2016, Las Vegas, USA.
Aug. 2015: Accepted to ICCV 2015, Santiago, Chile.