Abhijit Das

Publications

For the published papers and preprints please visit my Google Scholar.

  • Presenting 1 paper at ECCV on September 8–12, 2026 at Malmö.
  • Presenting 4 papers at MICCAI on September 27 – October 1, 2026 at Strasbourg.

2026

  1. EnTrust: Modeling Inter-Modal Conflict for Trustworthy Multimodal Medical Image Analysis

    Abhijit Das, Dwarikanath Mahapatra, et al.

    Preprint

  2. PROTON: Prototype-Based Test-Time Online OOD Detection for Medical VLMs

    Abhijit Das, N. Wasalathilaka, Y. Lu, A. Dukre, D. Mahapatra, S. Khan, I. Razzak

    MICCAI 2026

  3. Graph-of-Differences: Anatomy-Structured Difference Alignment for Medical Image Re-Identification

    Abhijit Das*, N. Wasalathilaka*, I. Razzak, D. Mahapatra

    MICCAI 2026

  4. Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization

    Abhijit Das, S. Dutta

    Preprint

2025

  1. Ethical Framework for Responsible Foundational Models in Medical Imaging

    D. Jha, G. Durak, Abhijit Das, J. Sanjotra, O. Susladkar, S. Sarkar, A. Rauniyar, et al.

    Frontiers in Medicine

2024

  1. Confidence-guided Semi-supervised Learning for Generalized Lesion Localization in X-ray Images

    Abhijit Das, V. Gorade, K. Kumar, S. Chakraborty, D. Mahapatra, S. Roy

    MICCAI 2024

  2. ProFONet: Prototypical Feature Space Optimized Network for Few-shot Classification

    Abhijit Das, V. Gorade, D. Jha, K. Biswas, P. Raj, U. Bagci

    ICPR 2024

  3. SEANet: Rethinking Skip-Connections Design in Encoder-Decoder Networks via Synergistic Spatial-Spectral Fusion for LDCT Denoising

    Abhijit Das, V. Gorade, D. Mahapatra, S. Roy

    ICPR 2024

  4. PAM-UNet: Shifting Attention on Region of Interest in Medical Images

    Abhijit Das, Debesh Jha, Vandan Gorade, Koushik Biswas, Hongyi Pan, Zheyuan Zhang, Daniela P. Ladner, Yury Velichko, Amir Borhani, Ulas Bagci

    IEEE EMBC 2024

  5. Enhancing Colonoscopy Outcomes with DAPoDet-based AI for Real-time Sessile Serrated Polyp Detection

    Abhijit Das, Debesh Jha, Nikhil Tomar, Neethi Dasu, Mark Geissler, Dayang Wang, Mena Bakhit, Kirti Dasu, Tyler Berzin, Ulas Bagci

    DDW 2024

Patents

  1. Quantum-Inspired Convolutional Neural Network for Imaging: Bridging Quantum Physics and Deep Learning

    Abhijit Das et al.

  2. Detect Internal Organ Spans in 3D from External Landmarks Using Symbolic Regression

    Abhijit Das et al.