Safal Thapaliya

Hello there! I’m Safal Thapaliya. I am a Research Assistant at Nepal Applied Mathematics and Informatics Institute for research(NAAMII). At NAAMII, my primary research focuses on computer vision applications in medical imaging, under the supervision of Bishesh Khanal, Ph.D. My research interests lie in vision-language models, mechanistic interpretability and explainable AI. Lately, I have been exploring on ways to leverage vision-language models for explainable and interpretable medical image segmentation.

I hold a Bachelor’s Degree in Computer Engineering from the Institute of Engineering, Pulchowk Campus. My bachelor’s thesis was supervised by Aman Shakya, Ph.D and Bishesh Khanal, Ph.D.

I’ve previously worked at Clamphook, where I was responsible for designing databases, writing REST APIs, and website deployment. I also interned at Logpoint Inc. in the Customer Support and Solutions division, where I learned to use different tools and techniques for linux system administration.

In my leisure, I love to play and watch football ⚽.

selected publications

* indicates equal contribution

2024

MIDL

Exploring Transfer Learning in Medical Image Segmentation using VLMs

Kanchan Poudel*, Manish Dhakal*, Prasiddha Bhandari*, Rabin Adhikari*, Safal Thapaliya*, and Bishesh Khanal

In Medical Imaging with Deep Learning, 2024

PDF Code

2023

ASMUS

Synthetic Boost: Leveraging Synthetic Data for Enhanced Vision-Language Segmentation in Echocardiography

Rabin Adhikari*, Manish Dhakal*, Safal Thapaliya*, Kanchan Poudel, Prasiddha Bhandari, and Bishesh Khanal

In International Workshop on Advances in Simplifying Medical Ultrasound, 2023

arXiv Bib Code Slides

@inproceedings{adhikari2023synthetic,
  title = {Synthetic Boost: Leveraging Synthetic Data for Enhanced Vision-Language Segmentation in Echocardiography},
  author = {Adhikari*, Rabin and Dhakal*, Manish and Thapaliya*, Safal and Poudel, Kanchan and Bhandari, Prasiddha and Khanal, Bishesh},
  booktitle = {International Workshop on Advances in Simplifying Medical Ultrasound},
  pages = {89--99},
  year = {2023},
  organization = {Springer},
}

2022

SMM4H

Rabin Adhikari, Safal Thapaliya, Nirajan Basnet, Samip Poudel, Aman Shakya, and Bishesh Khanal

In Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task, Oct 2022

arXiv Bib Code Slides Website

@inproceedings{adhikari2022covid,
  title = {COVID-19-related Nepali Tweets Classification in a Low Resource Setting},
  author = {Adhikari, Rabin and Thapaliya, Safal and Basnet, Nirajan and Poudel, Samip and Shakya, Aman and Khanal, Bishesh},
  booktitle = {Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop \& Shared Task},
  month = oct,
  year = {2022},
  address = {Gyeongju, Republic of Korea},
  publisher = {Association for Computational Linguistics},
  url = {https://aclanthology.org/2022.smm4h-1.52},
  pages = {209--215},
}