Pranab Sahoo

19 papers B 2Journal 11Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
PFSNet: A prototypical federated siamese network for few-shot cervical cancer detection.
Biomed. Signal Process. Control.
Pranab Sahoo, Jay Gala, Sriparna Saha, Sujit Chowdhury, Samrat Mondal
2025 J jnl
AdaFedProx: A Heterogeneity-Aware Federated Deep Reinforcement Learning for Medical Image Classification.
IEEE Trans. Consumer Electron.
Pranab Sahoo, Ashutosh Tripathi, Sriparna Saha, Samrat Mondal, Jyoti Prakash Singh, Bhisham Sharma
2025 J jnl
Boosting cervical cancer detection with a multi-stage architecture and complementary information fusion.
Soft Comput.
Pranab Sahoo, Sriparna Saha, Saksham Kumar Sharma, Samrat Mondal
2025 J jnl
FedDUAL: A Dual-Strategy with Adaptive Loss and Dynamic Aggregation for Mitigating Data Heterogeneity in Federated Learning.
Trans. Mach. Learn. Res.
Pranab Sahoo, Ashutosh Tripathi, Sriparna Saha, Samrat Mondal
2024 — conf
A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models.
EMNLP (Findings)
Pranab Sahoo, Prabhash Meharia, Akash Ghosh, Sriparna Saha, Vinija Jain, Aman Chadha
2024 J jnl
A Multi-stage framework for COVID-19 detection and severity assessment from chest radiography images using advanced fuzzy ensemble technique.
Expert Syst. Appl.
Pranab Sahoo, Sriparna Saha, Saksham Kumar Sharma, Samrat Mondal, Suraj Gowda
2024 J jnl
A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.
CoRR
Pranab Sahoo, Ayush Kumar Singh, Sriparna Saha, Vinija Jain, Samrat Mondal, Aman Chadha
2024 — conf
Enhancing Adverse Drug Event Detection with Multimodal Dataset: Corpus Creation and Model Development.
ACL (Findings)
Pranab Sahoo, Ayush Kumar Singh, Sriparna Saha, Aman Chadha, Samrat Mondal
2024 J jnl
Enhancing Adverse Drug Event Detection with Multimodal Dataset: Corpus Creation and Model Development.
CoRR
Pranab Sahoo, Ayush Kumar Singh, Sriparna Saha, Aman Chadha, Samrat Mondal
2024 J jnl
FedDUAL: A Dual-Strategy with Adaptive Loss and Dynamic Aggregation for Mitigating Data Heterogeneity in Federated Learning.
CoRR
Pranab Sahoo, Ashutosh Tripathi, Sriparna Saha, Samrat Mondal
2024 — conf
FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging.
MICCAI (3)
Pranab Sahoo, Ashutosh Tripathi, Sriparna Saha, Samrat Mondal
2024 J jnl
FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging.
CoRR
Pranab Sahoo, Ashutosh Tripathi, Sriparna Saha, Samrat Mondal
2024 J jnl
Unveiling Hallucination in Text, Image, Video, and Audio Foundation Models: A Comprehensive Survey.
CoRR
Pranab Sahoo, Prabhash Meharia, Akash Ghosh, Sriparna Saha, Vinija Jain, Aman Chadha
2023 — conf
A Federated Multi-stage Light-Weight Vision Transformer for Respiratory Disease Detection.
ICONIP (10)
Pranab Sahoo, Saksham Kumar Sharma, Sriparna Saha, Samrat Mondal
2023 J jnl
Enhancing Computer-Aided Cervical Cancer Detection Using a Novel Fuzzy Rank-Based Fusion.
IEEE Access
Pranab Sahoo, Sriparna Saha, Samrat Mondal, Manjeevan Seera, Saksham Kumar Sharma, Manish Kumar
2022 B conf
COVID-19 Detection from Lung Ultrasound Images using a Fuzzy Ensemble-based Transfer Learning Technique.
ICPR
Pranab Sahoo, Sriparna Saha, Samrat Mondal, Nelson Sharma
2022 B conf
Computer-Aided COVID-19 Screening from Chest CT-Scan using a Fuzzy Ensemble-based Technique.
IJCNN
Pranab Sahoo, Sriparna Saha, Samrat Mondal, Sujit Chowdhury, Suraj Gowda
2022 — conf
Vision Transformer Based COVID-19 Detection Using Chest CT-scan images.
BHI
Pranab Sahoo, Sriparna Saha, Samrat Mondal, Suraj Gowda
2022 — conf
Vision Transformer-Based Federated Learning for COVID-19 Detection Using Chest X-Ray.
ICONIP (7)
Pranab Sahoo, Sriparna Saha, Samrat Mondal, Sujit Chowdhury, Suraj Gowda