2 citations · 6 across the 4 of their papers we have counts for
4 papers
REMEDI: REinforcement learning-driven adaptive MEtabolism modeling of primary sclerosing cholangitis DIsease progression
Chang Hu, Krishnakant V. Saboo, Ahmad H. Ali +3
Primary sclerosing cholangitis (PSC) is a rare disease wherein altered bile acid metabolism contributes to sustained liver injury. This paper introduces REMEDI, a framework that ca…
RACR-MIL: Rank-aware contextual reasoning for weakly supervised grading of squamous cell carcinoma using whole slide images
Anirudh Choudhary, Mosbah Aouad, Krishnakant Saboo +14
Squamous cell carcinoma (SCC) is one of the most common cancer subtype, with an increasing incidence and a significant impact on cancer-related mortality. SCC grading using whole s…
Reinforcement Learning based Disease Progression Model for Alzheimer's Disease
Krishnakant V. Saboo, Anirudh Choudhary, Yurui Cao +3
We model Alzheimer's disease (AD) progression by combining differential equations (DEs) and reinforcement learning (RL) with domain knowledge. DEs provide relationships between som…
Parallel and Distributed Approaches for Graph Based Semi-supervised Learning
Konstantin Avrachenkov, Vivek Borkar, Krishnakant Saboo
Two approaches for graph based semi-supervised learning are proposed. The firstapproach is based on iteration of an affine map. A key element of the affine map iteration is sparsem…