Sandesh Pokhrel

Hi! I’m Sandesh Pokhrel, a graduate student at the University of Utah under the supervision of Professor Tolga Tasdizen.

Before joining UofU, I was a research assistant at NAAMII under Assistant Professor Dr. Binod Bhattarai. I worked at the forefront of medical imaging and its applications through computer vision and AI. My research focused on Out-of-Distribution detection in gastrointestinal vision in various modalities and stenosis detection in coronary angiography images.

I did my undergraduate from Institute of Engineering(IOE), Pulchowk Campus with diverse experience in research as well as industry having worked on various deep learning techniques. I have working knowledge in out-of-distribution detection, self supervised learning, image and object segmentation, object detection, pose estimation, voice cloning and speech recognition; using these methods to provide software solutions for pressing and practical problems. As personal interests, I enthusiastically follow football, playing as well as analytics and am an avid star gazer on cloudless nights. Looking forward to connecting with you!

Research Interests: Medical AI, Multi modal learning, Out-of-distribution detection, Cardiovascular imaging, Gastrointestinal Vision, Histopathology Imaging

latest posts

Dec 27, 2023	The Mouse Math
Feb 27, 2023	Aftermath of CIT
Dec 27, 2022	Children in Technology

selected publications

Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models

Bidur Khanal^*, Sandesh Pokhrel^*, Sanjay Bhandari^*, and 7 more authors

arXiv preprint arXiv:2505.07001, 2025

Accepted at MICCAI 2025, top 9% of all submissions

Bib

@article{khanal2025hallucination,
  title = {Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models},
  author = {Khanal, Bidur and Pokhrel, Sandesh and Bhandari, Sanjay and Rana, Ramesh and Shrestha, Nikesh and Gurung, Ram Bahadur and Linte, Cristian and Watson, Angus and Shrestha, Yash Raj and Bhattarai, Binod},
  journal = {arXiv preprint arXiv:2505.07001},
  note = {Accepted at MICCAI 2025, top 9% of all submissions},
  year = {2025},
}

Out-of-Distribution Detection in Gastrointestinal Vision by Estimating Nearest Centroid Distance Deficit

Sandesh Pokhrel^*, Sanjay Bhandari^*, Sharib Ali, and 7 more authors

In Annual Conference on Medical Image Understanding and Analysis, 2025

Nominated for Best Paper Award at MIUA 2025

Bib

@inproceedings{pokhrel2025out,
  title = {Out-of-Distribution Detection in Gastrointestinal Vision by Estimating Nearest Centroid Distance Deficit},
  author = {Pokhrel, Sandesh and Bhandari, Sanjay and Ali, Sharib and Lambrou, Tryphon and Nguyen, Anh and Shrestha, Yash Raj and Watson, Angus and Stoyanov, Danail and Gyawali, Prashnna and Bhattarai, Binod},
  booktitle = {Annual Conference on Medical Image Understanding and Analysis},
  pages = {190--200},
  year = {2025},
  organization = {Springer Nature Switzerland Cham},
  note = {Nominated for Best Paper Award at MIUA 2025},
}

DEMI, MICCAI

TTA-OOD: Test-time Augmentation for Improving Out-of-Distribution Detection in Gastrointestinal Vision

Sandesh Pokhrel^*, Sanjay Bhandari^*, Eduard Vazquez, and 3 more authors

arXiv preprint arXiv:2407.14024, 2024

Accepted at DEMI, MICCAI 2024

Bib

@article{pokhrel2024tta,
  title = {TTA-OOD: Test-time Augmentation for Improving Out-of-Distribution Detection in Gastrointestinal Vision},
  author = {Pokhrel, Sandesh and Bhandari, Sanjay and Vazquez, Eduard and Lambrou, Tryphon and Gyawali, Prashnna and Bhattarai, Binod},
  journal = {arXiv preprint arXiv:2407.14024},
  year = {2024},
  note = {Accepted at DEMI, MICCAI 2024},
}