Safal Thapaliya
Medical Image Segmentation|Vision-Language Models|Object Detection|2D and 3D Medical Imaging|Microscopic Image Analysis
Publications
2024
TuneVLSeg: Prompt Tuning Benchmark for Vision-Language Segmentation Models
Asian Conference on Computer Vision (ACCV) 2024
Peer Reviewed Conference articleTOGAI (Transforming Global Health with AI)
2024
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
Machine Learning for Biomedical Imaging (MELBA) 2024
Peer Reviewed Journal articleTOGAI (Transforming Global Health with AI)
2024
VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks
Medical Image Computing and Computer Assisted Intervention (MICCAI) 2024
Peer Reviewed Conference articleTOGAI (Transforming Global Health with AI)
2023
Synthetic Boost: Leveraging Synthetic Data for Enhanced Vision-Language Segmentation in Echocardiography
Simplifying Medical Ultrasound. ASMUS, 2023
Peer Reviewed Workshop articleTOGAI (Transforming Global Health with AI)
2023
Exploring transfer learning in medical image segmentation using vision-language models
arXiv preprint arXiv:2308.07706, 2023
2022
COVID-19-related Nepali Tweets Classification in a Low Resource Setting
Rabin Adhikari, Safal Thapaliya, Nirajan Basnet, Samip Poudel, Aman Shakya, Bishesh Khanal
Proceedings of The Seventh Workshop on Social Media Mining for Health Applications (SMM4H), Workshop & Shared Task, COLING (2022), Korea, 2022
Peer Reviewed Workshop articleTOGAI (Transforming Global Health with AI)