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 been acquinted with 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

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},
}