publications

Find all the latest publications on my google scholar.

2024

1. MELBA

   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, and 2 more authors

   Machine Learning for Biomedical Imaging, 2024

   arXiv Bib Code

   @article{melba:2024:014:nakarmi,
     title = {Deep-learning assisted detection and quantification of (oo) cysts of Giardia and Cryptosporidium on smartphone microscopy images},
     author = {Nakarmi, Suprim and Pudasaini, Sanam and Thapaliya, Safal and Upretee, Pratima and Shrestha, Retina and Giri, Basant and Neupane, Bhanu Bhakta and Khanal, Bishesh},
     journal = {Machine Learning for Biomedical Imaging},
     volume = {2},
     issue = {August 2024 issue},
     year = {2024},
     pages = {956--976},
     issn = {2766-905X},
     doi = {https://doi.org/10.59275/j.melba.2024-a333},
     url = {https://www.melba-journal.org/papers/2024:014.html},
   }

2. 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

   MIDL24 oral presentation

   arXiv PDF Code
3. MICCAI

   VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks

   Manish Dhakal, Rabin Adhikari, Safal Thapaliya, and Bishesh Khanal

   arXiv preprint arXiv:2405.06196, 2024

   Accepted at MICCAI24

   arXiv Bib Code

   @article{dhakal2024vlsm,
     title = {VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks},
     author = {Dhakal, Manish and Adhikari, Rabin and Thapaliya, Safal and Khanal, Bishesh},
     journal = {arXiv preprint arXiv:2405.06196},
     year = {2024},
     note = {Accepted at MICCAI24},
     url = {https://arxiv.org/abs/2405.06196},
   }

4. ACCV

   TuneVLSeg: Prompt Tuning Benchmark for Vision-Language Segmentation Models

   Rabin Adhikari, Safal Thapaliya, Manish Dhakal, and Bishesh Khanal

   2024

   Accepted for oral presentation at ACCV 2024

   arXiv Code

2023

1. 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

1. SMM4H

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

   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},
   }