Selected Publications
Debesh Jha
Journals
- Jha et al. “Validating polyp and instrument segmentation methods…” Medical Image Analysis, 2024.
- Jha et al. “Machine Learning-based Classification…” PhD Thesis, 2022.
- Jha et al. “A Comprehensive analysis…” Medical Image Analysis, 2021.
- Jha et al. “ResUNet++, CRF and Test-Time Augmentation…” IEEE JBHI, 2021.
- Jha et al. “Real-Time Polyp Detection…” IEEE Access, 2021.
- Ali, Jha et al. “PolypGen: A multi-center polyp detection dataset” Nature Sci Data, 2023.
- Borgli*, Jha* et al. “Hyper-Kvasir: Multi-Class GI Dataset” Nature Sci Data, 2020.
- Smedsrud*, Jha* et al. “Kvasir-Capsule Dataset” Nature Sci Data, 2021.
- Tomar, Jha et al. “FANet” IEEE TNNLS, 2022.
- Srivastava, Jha et al. “MSRF-Net” IEEE JBHI, 2022.
- Ross, Reinke, Jha et al. “ROBUST-MIS” Medical Image Analysis, 2021.
- Jha et al. “Diagnosis of Alzheimer’s Disease…” J Healthcare Engineering, 2017.
- Thambawita, Jha et al. “Cross-Dataset Bias in GI Classification” ACM HEALTH, 2021.
- Khadka, Jha et al. “Few-shot Meta-learning” Computers in Biology and Medicine, 2022.
Conferences
- “DoubleU-Net: Medical Image Segmentation,” CBMS, 2020.
- “Kvasir-SEG Dataset,” MMM, 2020.
- “ResUNet++ Architecture,” ISM, 2019.
- “NanoNet,” CBMS, 2021.
- “LightLayers,” PDCAT-PAAP, 2020.
- “EndoTect Challenge,” ICPR Workshop, 2020.
- “Self-Attention for Polyp Segmentation,” MICCAI, 2021.
- “Text-Guided Polyp Segmentation,” MICCAI, 2022.
- “Real-Time Surgical Instrument Segmentation,” IEEE BHI, 2021.
Focus Areas
- GI Disease Classification: Analysis of methods, bias study, Medico-Task, EndoTect Challenge.
- Polyp Segmentation: ResUNet++, DoubleU-Net, FANet, DDANet, NanoNet, MSRF-Net.
- Polyp Detection & Localization: Real-time detection using Deep Learning.
- Surgical Instrument Segmentation: ROBUST-MIS Challenge, laparoscopic surgery tools.