publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2026

  1. TMLR
    Primus: Enforcing Attention Usage for 3D Medical Image Segmentation
    Tassilo Wald*, Saikat Roy*, Fabian Isensee*, and 7 more authors
    Transactions on Machine Learning Research (TMLR), 2026
  2. ICLR
    CRONOS: Continuous Time Reconstruction for 4D Medical Longitudinal Series
    Nico Albert Disch, Saikat Roy, Constantin Ulrich, and 5 more authors
    ICLR 2026, 2026
  3. Patent
    Generalized patch-based inference for denoising diffusion models for plug-and-play medical image restoration/reconstruction
    Saikat Roy, Mahmoud Mostapha, Radu Miron, and 2 more authors
    2026
    US Patent App. 19/090,989
  4. ICML-W
    Rare, Distinctive, Memorized: Auditing Memorization in Fine-Tuned Medical Foundation Models
    Santhosh Parampottupadam, Sinem Sav, Dimitrios Bounias, and 5 more authors
    In ICML 2026 Workshop (MemFM), 2026

2025

  1. CVPR
    LesionLocator: Zero-Shot Universal Tumor Segmentation and Tracking in 3D Whole-Body Imaging
    Maximilian Rokuss, Yannick Kirchhoff, Seval Akbal, and 7 more authors
    CVPR 2025, 2025
  2. ISBI
    Investigating the Feasibility of Patch-Based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images
    Saikat Roy, Mahmoud Mostapha, Radu Miron, and 2 more authors
    In IEEE International Symposium on Biomedical Imaging (ISBI), 2025
    Oral Presentation
  3. arXiv
    Expectation-Maximization as the Engine of Scalable Medical Intelligence
    Wenxuan Li, Pedro RAS Bassi, Tianyu Lin, and 8 more authors
    arXiv preprint arXiv:2501.03410, 2025
  4. CVPR-W
    Applying Longitudinal Augmentation and Data Generation (LAUGEN) in Medical Imaging
    Nico Disch, Balint Kovacs, Constantin Ulrich, and 6 more authors
    In CVPR 2025 Workshop (SynData4CV), 2025
  5. arXiv
    Temporal Flow Matching for Learning Spatio-Temporal Trajectories in 4D Longitudinal Medical Imaging
    Nico Albert Disch, Yannick Kirchhoff, Robin Peretzke, and 5 more authors
    arXiv preprint arXiv:2508.21580, 2025
  6. arXiv
    MedNeXt-v2: Scaling 3D ConvNeXts for Large-Scale Supervised Representation Learning in Medical Image Segmentation
    Saikat Roy*, Yannick Kirchhoff*, Constantin Ulrich, and 4 more authors
    arXiv preprint arXiv:2512.17774, 2025

2024

  1. ECCV
    Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures
    Yannick Kirchhoff*, Maximilian R Rokuss*, Saikat Roy*, and 8 more authors
    ECCV 2024, 2024
    100+ citations
  2. MICCAI
    nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation
    Fabian Isensee, Tassilo Wald, Constantin Ulrich, and 4 more authors
    MICCAI 2024, 2024
    Benchmark Win: MedNeXt — 800+ citations
  3. NeurIPS
    Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
    Pedro RAS Bassi, Wenxuan Li, Yucheng Tang, and 8 more authors
    NeurIPS 2024, 2024
    Benchmark Win: MedNeXt
  4. MIDL
    From Generalist to Specialist: Incorporating Domain-Knowledge into Flamingo for Chest X-Ray Report Generation
    Raphael Stock, Stefan Denner, Yannick Kirchhoff, and 5 more authors
    In Medical Imaging with Deep Learning (MIDL), short paper track, 2024
  5. MICCAI-W
    Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting
    Maximilian Rokuss, Yannick Kirchhoff, Saikat Roy, and 8 more authors
    In MICCAI Workshop (LDTM) 2024, 2024
  6. Mol Psychiatry
    Deciphering white matter microstructural alterations in catatonia according to ICD-11: replication and machine learning analysis
    Robin Peretzke, Peter F Neher, Geva A Brandt, and 8 more authors
    Molecular Psychiatry, 2024
  7. ISMRM
    Test-Retest analysis of atTRACTive with a dissimilarity uncertainty sampling scheme on the Corpus Callosum of mice
    Robin Peretzke, Jonas Bohn, Yannick Kirchhoff, and 8 more authors
    ISMRM 2024, 2024
  8. BVM
    Semi-automatic White Matter Tract Segmentation using Active Learning atTRACTive
    Robin Peretzke, Klaus Maier-Hein, Jonas Bohn, and 6 more authors
    In BVM Workshop 2024, 2024
  9. BVM
    3D Medical Image Segmentation with Transformer-based Scaling of ConvNets: MedNeXt
    Saikat Roy, Gregor Koehler, Michael Baumgartner, and 4 more authors
    In BVM Workshop 2024, 2024

2023

  1. MICCAI
    MedNeXt: Transformer-driven scaling of convnets for medical image segmentation
    Saikat Roy, Gregor Koehler, Constantin Ulrich, and 5 more authors
    In MICCAI 2023, 2023
    Early Accept: Top 14% — 700+ citations
  2. MICCAI
    atTRACTive: Semi-automatic white matter tract segmentation using active learning
    Robin Peretzke, Klaus H Maier-Hein, Jonas Bohn, and 6 more authors
    In MICCAI 2023, 2023
  3. MIDL
    SAM.MD: Zero-shot medical image segmentation capabilities of the segment anything model
    Saikat Roy*, Tassilo Wald*, Gregor Koehler*, and 5 more authors
    Medical Imaging with Deep Learning (MIDL), short paper track, 2023
    200+ citations
  4. Preprint
    Lost in Transformation: Current roadblocks for Transformers in 3D medical image segmentation
    Saikat Roy*, Tassilo Wald*, Michael Baumgartner, and 5 more authors
    2023
  5. BVM
    Taming Detection Transformers for Medical Object Detection
    Marc K Ickler, Michael Baumgartner, Saikat Roy, and 2 more authors
    In BVM Workshop 2023, 2023

2022

  1. MIDL
    Are 2.5 D approaches superior to 3D deep networks in whole brain segmentation?
    Saikat Roy*, David Kügler*, and Martin Reuter
    In Medical Imaging with Deep Learning (MIDL), 2022
    Oral Presentation
  2. NeurIPS-W
    Transformer Utilization in Medical Image Segmentation Networks
    Saikat Roy, Gregor Koehler, Michael Baumgartner, and 4 more authors
    In NeurIPS Workshop (MedNeurIPS) 2022, 2022

2018

  1. ICPR
    Document image classification with intra-domain transfer learning and stacked generalization of deep convolutional neural networks
    Arindam Das, Saikat Roy, Ujjwal Bhattacharya, and 1 more author
    In ICPR 2018, 2018

2017

  1. PRL
    Handwritten isolated Bangla compound character recognition: A new benchmark using a novel deep learning approach
    Saikat Roy, Nibaran Das, Mahantapas Kundu, and 1 more author
    Pattern Recognition Letters, 2017
  2. COMSNETS
    Convolutional regression framework for health behavior prediction
    Srinka Basu, Saikat Roy, and Ujjwal Maulik
    In International Conference on Communication Systems and Networks (COMSNETS), 2017

2016

  1. ICPR
    Generalized stacking of layerwise-trained deep convolutional neural networks for document image classification
    Saikat Roy, Arindam Das, and Ujjwal Bhattacharya
    In ICPR 2016, 2016

  1. Extending Supervised Pretraining on Large Organ Dataset to Universal Lesion Segmentation
    Yannick Kirchhoff, Maximilian R Rokuss, Saikat Roy, and 1 more author
    2016
  2. A Large-Scale AI Benchmark for 3D Multi-Organ Segmentation
    Zifu Wang, Jieneng Chen, Yu-Cheng Chou, and 8 more authors
    2016