1 citations · 1 across the 5 of their papers we have counts for
5 papers
Compositional Reward Models for Conditional Medical Image Generation
Aayush Kumar Tyagi, Prathosh A. P., Mausam
Acquiring high quality annotated medical image data is critical for training deep learning models; however, annotation is expensive, time consuming, and requires domain expertise.…
MeasureNet: Measurement Based Celiac Disease Identification
Aayush Kumar Tyagi, Vaibhav Mishra, Ashok Tiwari +5
Celiac disease is an autoimmune disorder triggered by the consumption of gluten. It causes damage to the villi, the finger-like projections in the small intestine that are responsi…
BoxCell: Leveraging SAM for Cell Segmentation with Box Supervision
Aayush Kumar Tyagi, Vaibhav Mishra, Prathosh A. P. +1
Cell segmentation in histopathological images is vital for diagnosis, and treatment of several diseases. Annotating data is tedious, and requires medical expertise, making it diffi…
DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting
Aayush Kumar Tyagi, Chirag Mohapatra, Prasenjit Das +4
Multi-class cell detection and counting is an essential task for many pathological diagnoses. Manual counting is tedious and often leads to inter-observer variations among patholog…
Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images through Generative Latent Search
Prashant Pandey, Aayush Kumar Tyagi, Sameer Ambekar +1
Segmentation of the pixels corresponding to human skin is an essential first step in multiple applications ranging from surveillance to heart-rate estimation from remote-photopleth…