Aayush Kumar Tyagi

Aayush Kumar Tyagi

PhD Student, PMRF

IIT Delhi

About Me

Aayush Kumar Tyagi is a PhD student at the Indian Institute of Technology Delhi (IIT Delhi) and a Prime Minister's Research Fellow (PMRF). His research lies at the intersection of artificial intelligence and medical imaging, with a current focus on the automatic detection and grading of celiac disease, conducted in collaboration with AIIMS Delhi. He completed his Master's degree from IIIT Delhi.

Interests

  • Medical Imaging
  • Deep Learning
  • Computer Vision

Education

  • MTech in Communication and signal processing, 2018

    Indraprastha Institute of information Technology, New Delhi

  • B.E in Electronics Engineering, 2015

    Vidyalankar Institute of Technology, Mumbai

Recent Updates

Nov 2025
Paper BoxCell accepted at Scientific Reports
Dec 2023
Talk Presented DeGPR at Amazon Research Day
Dec 2023
Conference Attended EMNLP 2023 in Singapore
Aug 2023
Award Awarded Prime Minister's Research Fellowship (PMRF)
Jun 2023
Conference Attended CVPR 2023 in Vancouver
Feb 2023
Paper DeGPR accepted at CVPR 2023
Aug 2022
Position Joined IIT Delhi as a PhD Student
Jul 2020
Paper Our paper on NIR Skin Segmentation accepted as Spotlight at ECCV 2020

Publications

* denotes equal contribution

Scientific Reports 2025

Guided Prompting in SAM for Weakly Supervised Cell Segmentation in Histopathological Images

Aayush Kumar Tyagi, Vaibhav Mishra, et al.

arXiv 2024

MeasureNet: Measurement Based Celiac Disease Identification

Aayush Kumar Tyagi, Vaibhav Mishra, Ashok Tiwari, Lalita Mehra, Prasenjit Das, Govind Makharia, Prathosh AP, et al.

CVPR 2023

DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting

Aayush Kumar Tyagi, Chirag Mohapatra, Prasenjit Das, Govind Makharia, Lalita Mehra, Prathosh AP, Mausam

Cancers 2022

Deep Learning-Based Pan-Cancer Classification Model Reveals Tissue-of-Origin Specific Gene Expression Signatures

Mayur Divate, Aayush Tyagi, Derek J Richard, Prathosh A Prasad, Harsha Gowda, Shivashankar H Nagaraj

ECCV 2020
ECCV 2020 Spotlight

Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images through Generative Latent Search

Prashant Pandey*, Aayush Kumar Tyagi*, Sameer Ambekar, Prathosh AP

Professional Service

Reviewer for conferences & journals

Conference Reviewer
  • MICCAI — Medical Image Computing and Computer Assisted Intervention 2023, 2024, 2025
  • AAAI — Association for the Advancement of Artificial Intelligence 2026
Journal Reviewer
  • IEEE JSTARS — IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2025 – Present