115 citations · 115 across the 5 of their papers we have counts for
5 papers
OmniMamba4D: Spatio-temporal Mamba for longitudinal CT lesion segmentation
Justin Namuk Kim, Yiqiao Liu, Rajath Soans +6
Accurate segmentation of longitudinal CT scans is important for monitoring tumor progression and evaluating treatment responses. However, existing 3D segmentation models solely foc…
Predicting ulcer in H&E images of inflammatory bowel disease using domain-knowledge-driven graph neural network
Ruiwen Ding, Lin Li, Rajath Soans +6
Inflammatory bowel disease (IBD) involves chronic inflammation of the digestive tract, with treatment options often burdened by adverse effects. Identifying biomarkers for personal…
Deep learning-based Segmentation of Rabbit fetal skull with limited and sub-optimal annotations
Rajath Soans, Alexa Gleason, Tosha Shah +4
In this paper, we propose a deep learning-based method to segment the skeletal structures in the micro-CT images of Dutch-Belted rabbit fetuses which can assist in the assessment o…
A Pathology Deep Learning System Capable of Triage of Melanoma Specimens Utilizing Dermatopathologist Consensus as Ground Truth
Sivaramakrishnan Sankarapandian, Saul Kohn, Vaughn Spurrier +9
Although melanoma occurs more rarely than several other skin cancers, patients' long term survival rate is extremely low if the diagnosis is missed. Diagnosis is complicated by a h…
Augmenting the Pathology Lab: An Intelligent Whole Slide Image Classification System for the Real World
Julianna D. Ianni, Rajath E. Soans, Sivaramakrishnan Sankarapandian +9
Standard of care diagnostic procedure for suspected skin cancer is microscopic examination of hematoxylin \& eosin stained tissue by a pathologist. Areas of high inter-pathologist…