Safal Thapaliya

PhD student, University of Connecticut

Joined

July 2022

Names

Safal Thapaliya (Preferred)

Emails

****@gmail.com (Confirmed)

****@naamii.org.np (Confirmed)

****@uconn.edu (Confirmed)

Personal Links

Career & Education History

PhD student

University of Connecticut (uconn.edu)

2025 – Present

Research Assistant

NepAl Applied Mathematics and Informatics Institute for research (naamii.org.np)

2022 – 2024

Undergrad student

Institute of Engineering, Pulchowk Campus (pcampus.edu.np)

2017 – 2021

Advisors, Relations & Conflicts

PhD Advisor

Chuxu Zhang

2025 – Present

Coauthor

Bishesh Khanal

2022 – 2024

Expertise

No areas of expertise listed

Publications

Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models
Kanchan Poudel, Manish Dhakal, Prasiddha Bhandari, Rabin Adhikari, Safal Thapaliya, Bishesh Khanal
- MIDL 2024 Oral
- Readers: Everyone
Exploring transfer learning in medical image segmentation using vision-language models
Kanchan Poudel, Manish Dhakal, Prasiddha Bhandari, Rabin Adhikari, Safal Thapaliya, Bishesh Khanal
- 31 Oct 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Deep-learning assisted detection and quantification of (oo)cysts of Giardia and Cryptosporidium on smartphone microscopy images
Suprim Nakarmi, Sanam Pudasaini, Safal Thapaliya, Pratima Upretee, Retina Shrestha, Basant Giri, Bhanu Bhakta Neupane, Bishesh Khanal
- Published: 01 Jan 2023, Last Modified: 16 May 2023
- CoRR 2023
- Readers: Everyone
Semi-Supervised Abdomen Extraction and Organ Segmentation in CT Images
Rabin Adhikari, Safal Thapaliya, Bishesh Khanal
- 04 Aug 2022 (modified: 05 May 2023)
- MICCAI 2022 Challenge FLARE Withdrawn Submission
- Readers: Everyone
COVID-19-related Nepali Tweets Classification in a Low Resource Setting
Rabin Adhikari, Safal Thapaliya, Nirajan Basnet, Samip Poudel, Aman Shakya, Bishesh Khanal
- Published: 01 Jan 2022, Last Modified: 15 May 2023
- SMM4H@COLING 2022
- Readers: Everyone

Safal Thapaliya

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models

Exploring transfer learning in medical image segmentation using vision-language models

Deep-learning assisted detection and quantification of (oo)cysts of Giardia and Cryptosporidium on smartphone microscopy images

Semi-Supervised Abdomen Extraction and Organ Segmentation in CT Images

COVID-19-related Nepali Tweets Classification in a Low Resource Setting

Co-Authors