Pranav Poudel

Hello !!! I’m a first-year PhD student at Polytechnique Montréal and Mila – Quebec AI Institute, advised by Prof. Hervé Lombaert. My work sits at the intersection of Computer Vision, Medical Imaging and Shape Analysis.

Before PolyMTL/Mila, I was a Computer Vision Engineer at Fogsphere (Redev AI) Ltd, and a Research Assistant at the Multimodal Learning Lab, led by Prof. Binod Bhattarai. I also closely collaborated with Prof. Prashnna K Gyawali. I earned my Bachelor’s Degree in Computer Engineering from IOE, Pulchowk Campus, Tribhuvan University in 2022. At Fogsphere, I worked on object detection and tracking, active learning, and multi-modal large language models (LLMs) at the edge.

Publications

1. Shape-guided Gaussian Splatting for Sparse-View X-ray 3D Reconstruction 2026
   Pranav Poudel, Florence Dell’Aniello Picard, Nairouz Shehata, Frédéric Lavoie, Herve Lombaert
   Off-Grid:Workshop on Continuous Representations and Grid-Free Methods in Medical Imaging, MICCAI, Oral Presentation
2. Multimodal federated learning with missing modalities through feature imputation network 2025
   Pranav Poudel, Aavash Chhetri, Prashnna Gyawali, Georgios Leontidis, Binod Bhattarai
   Medical Image Understanding and Analysis (MIUA), Oral Presentation
   PDF
3. Multimodal federated learning in healthcare: a review 2025
   Jacob Thrasher, Alina Devkota, Prasiddha Siwakoti, Rohit Chivukula, Pranav Poudel, Chuanbo Hu, Ahmad Tafti, Binod Bhattarai, Prashnna Gyawali
   Journal of Healthcare Informatics Research
   PDF
4. CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities 2024
   Pranav Poudel, Prashant Shrestha, Sanskar Amgain, Yash Raj Shrestha, Prashnna Gyawali, Binod Bhattarai
   International Conference on Medical Image Computing and Computer-Assisted Interventions (MICCAI)
   PDF Code
5. Task-Aware Active Learning for Endoscopic Polyp Segmentation 2024
   Pranav Poudel, Shrawan Kumar Thapa, Sudarshan Regmi, Binod Bhattarai, Danail Stoyanov
   MICCAI Workshop on Data Engineering in Medical Imaging
   PDF Code
6. Neural Network Pruning for Real-time Polyp Segmentation 2023
   Suman Sapkote, Pranav Poudel, Sudarshan Regmi, Bibek Panthi, Binod Bhattarai
   Medical Image Understanding and Analysis (MIUA), 5th place in CholecTriplet2022 challenge
   PDF
7. CholecTriplet2022: Show me a tool and tell me the triplet—An endoscopic vision challenge for surgical action triplet detection 2023
   Chinedu Innocent Nwoye, Tong Yu, …., Pranav Poudel, …., Nicolas Padoy
   Medical Image Analysis, 5th place in CholecTriplet2022 challenge
   PDF