Saikat Roy

47 papers A* 3B 2Misc 1Journal 22Unranked 19
YearRankTypeTitle / Venue / Authors
2026 — conf
Abstract: LesionLocator - Zero-shot Universal Tumor Segmentation and Tracking in 3D Whole-body Imaging.
Bildverarbeitung für die Medizin
Maximilian Rokuss, Yannick Kirchhoff, Seval Akbal, Balint Kovacs, Saikat Roy, Constantin Ulrich, Tassilo Wald, Lukas T. Rotkopf, Heinz-Peter Schlemmer, Klaus H. Maier-Hein
2025 — conf
A Quadrant Partitioned-RRT* (QP-RRT*) Autonomous Agent.
ICAA
Aritra Saha, Saikat Roy
2025 — conf
Abstract: Client Security Alone Fails in Federated Learning - 2D and 3D Attack Insights.
Bildverarbeitung für die Medizin
Santhosh Parampottupadam, Ralf Floca, Dimitrios Bounias, Benjamin Hamm, Saikat Roy, Sinem Sav, Maximilian Zenk, Klaus H. Maier-Hein
2025 — conf
Abstract: Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting.
Bildverarbeitung für die Medizin
Maximilian Rokuss, Yannick Kirchhoff, Saikat Roy, Balint Kovacs, Constantin Ulrich, Tassilo Wald, Maximilian Zenk, Stefan Denner, Fabian Isensee, Philipp Vollmuth, Jens Kleesiek, Klaus H. Maier-Hein
2025 — conf
Abstract: Skeleton Recall Loss - Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures.
Bildverarbeitung für die Medizin
Yannick Kirchhoff, Maximilian Rokuss, Saikat Roy, Balint Kovacs, Constantin Ulrich, Tassilo Wald, Maximilian Zenk, Philipp Vollmuth, Jens Kleesiek, Fabian Isensee, Klaus H. Maier-Hein
2025 — conf
Abstract: nnU-Net Revisited - Call for Rigorous Validation in 3D Medical Image Segmentation.
Bildverarbeitung für die Medizin
Fabian Isensee, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jäger
2025 J jnl
CRONOS: Continuous Time Reconstruction for 4D Medical Longitudinal Series.
CoRR
Nico Disch, Saikat Roy, Constantin Ulrich, Yannick Kirchhoff, Maximilian Rokuss, Robin Peretzke, David Zimmerer, Klaus H. Maier-Hein
2025 J jnl
Inclusive, Differentially Private Federated Learning for Clinical Data.
CoRR
Santhosh Parampottupadam, Melih Cosgun, Sarthak Pati, Maximilian Zenk, Saikat Roy, Dimitrios Bounias, Benjamin Hamm, Sinem Sav, Ralf Floca, Klaus H. Maier-Hein
2025 — conf
Investigating the Feasibility of Patch-Based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images.
ISBI
Saikat Roy, Mahmoud Mostapha, Radu Miron, Matt Holbrook, Mariappan S. Nadar
2025 J jnl
Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images.
CoRR
Saikat Roy, Mahmoud Mostapha, Radu Miron, Matt Holbrook, Mariappan S. Nadar
2025 A* conf
LesionLocator: Zero-Shot Universal Tumor Segmentation and Tracking in 3D Whole-Body Imaging.
CVPR
Maximilian Rokuss, Yannick Kirchhoff, Seval Akbal, Balint Kovacs, Saikat Roy, Constantin Ulrich, Tassilo Wald, Lukas T. Rotkopf, Heinz-Peter Schlemmer, Klaus H. Maier-Hein
2025 J jnl
LesionLocator: Zero-Shot Universal Tumor Segmentation and Tracking in 3D Whole-Body Imaging.
CoRR
Maximilian Rokuss, Yannick Kirchhoff, Seval Akbal, Balint Kovacs, Saikat Roy, Constantin Ulrich, Tassilo Wald, Lukas T. Rotkopf, Heinz-Peter Schlemmer, Klaus H. Maier-Hein
2025 J jnl
MedNeXt-v2: Scaling 3D ConvNeXts for Large-Scale Supervised Representation Learning in Medical Image Segmentation.
CoRR
Saikat Roy, Yannick Kirchhoff, Constantin Ulrich, Maximillian Rokuss, Tassilo Wald, Fabian Isensee, Klaus H. Maier-Hein
2025 J jnl
Primus: Enforcing Attention Usage for 3D Medical Image Segmentation.
CoRR
Tassilo Wald, Saikat Roy, Fabian Isensee, Constantin Ulrich, Sebastian Ziegler, Dasha Trofimova, Raphael Stock, Michael Baumgartner, Gregor Köhler, Klaus H. Maier-Hein
2025 J jnl
ScaleMAI: Accelerating the Development of Trusted Datasets and AI Models.
CoRR
Wenxuan Li, Pedro R. A. S. Bassi, Tianyu Lin, Yu-Cheng Chou, Xinze Zhou, Yucheng Tang, Fabian Isensee, Kang Wang, Qi Chen, Xiaowei Xu, Xiaoxi Chen, Lizhou Wu, Qilong Wu, Yannick Kirchhoff, Maximilian Rokuss, Saikat Roy, Yuxuan Zhao, Dexin Yu, Kai Ding, Constantin Ulrich, Klaus H. Maier-Hein, Yang Yang, Alan L. Yuille, Zongwei Zhou
2025 J jnl
Temporal Flow Matching for Learning Spatio-Temporal Trajectories in 4D Longitudinal Medical Imaging.
CoRR
Nico Disch, Yannick Kirchhoff, Robin Peretzke, Maximilian Rokuss, Saikat Roy, Constantin Ulrich, David Zimmerer, Klaus H. Maier-Hein
2024 — conf
Abstract: 3D Medical Image Segmentation with Transformer-based Scaling of ConvNets - MedNeXt.
Bildverarbeitung für die Medizin
Saikat Roy, Gregor Köhler, Michael Baumgartner, Constantin Ulrich, Fabian Isensee, Paul F. Jaeger, Klaus H. Maier-Hein
2024 — conf
Abstract: Semi-automatic White Matter Tract Segmentation using Active Learning atTRACTive.
Bildverarbeitung für die Medizin
Robin Peretzke, Klaus H. Maier-Hein, Jonas Bohn, Yannick Kirchhoff, Saikat Roy, Sabrina Oberli-Palma, Daniela Becker, Pavlina Lenga, Peter Neher
2024 — conf
Back to the Future: Challenges of Sparse and Irregular Medical Image Time Series.
LDTM/MMMI/ML4MHD/ML-CDS@MICCAI
Nico Disch, Robin Peretzke, Saikat Roy, Constantin Ulrich, David Zimmerer, Rainer Stiefelhagen, Jens Kleesiek, Klaus H. Maier-Hein
2024 — conf
Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting.
LDTM/MMMI/ML4MHD/ML-CDS@MICCAI
Maximilian Rokuss, Yannick Kirchhoff, Saikat Roy, Balint Kovacs, Constantin Ulrich, Tassilo Wald, Maximilian Zenk, Stefan Denner, Fabian Isensee, Philipp Vollmuth, Jens Kleesiek, Klaus H. Maier-Hein
2024 J jnl
Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting.
CoRR
Maximilian Rokuss, Yannick Kirchhoff, Saikat Roy, Balint Kovacs, Constantin Ulrich, Tassilo Wald, Maximilian Zenk, Stefan Denner, Fabian Isensee, Philipp Vollmuth, Jens Kleesiek, Klaus H. Maier-Hein
2024 J jnl
Preparation of Rich Lists of Research Gaps in the Specific Sentiment Analysis Tasks of Code-mixed Indian Languages.
SN Comput. Sci.
Jatinderkumar R. Saini, Saikat Roy
2024 — conf
Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures.
ECCV (77)
Yannick Kirchhoff, Maximilian Rokuss, Saikat Roy, Balint Kovacs, Constantin Ulrich, Tassilo Wald, Maximilian Zenk, Philipp Vollmuth, Jens Kleesiek, Fabian Isensee, Klaus H. Maier-Hein
2024 J jnl
Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures.
CoRR
Yannick Kirchhoff, Maximilian Rokuss, Saikat Roy, Balint Kovacs, Constantin Ulrich, Tassilo Wald, Maximilian Zenk, Philipp Vollmuth, Jens Kleesiek, Fabian Isensee, Klaus H. Maier-Hein
2024 A* conf
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
NeurIPS
Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jia-Xin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou
2024 J jnl
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
CoRR
Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jiaxin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou
2024 — conf
nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation.
MICCAI (9)
Fabian Isensee, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jäger
2024 J jnl
nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation.
CoRR
Fabian Isensee, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger
2023 — conf
MedNeXt: Transformer-Driven Scaling of ConvNets for Medical Image Segmentation.
MICCAI (4)
Saikat Roy, Gregor Köhler, Constantin Ulrich, Michael Baumgartner, Jens Petersen, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein
2023 J jnl
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation.
CoRR
Saikat Roy, Gregor Köhler, Constantin Ulrich, Michael Baumgartner, Jens Petersen, Fabian Isensee, Paul F. Jaeger, Klaus H. Maier-Hein
2023 J jnl
SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model.
CoRR
Saikat Roy, Tassilo Wald, Gregor Köhler, Maximilian Rokuss, Nico Disch, Julius Holzschuh, David Zimmerer, Klaus H. Maier-Hein
2023 — conf
Taming Detection Transformers for Medical Object Detection.
Bildverarbeitung für die Medizin
Marc K. Ickler, Michael Baumgartner, Saikat Roy, Tassilo Wald, Klaus H. Maier-Hein
2023 J jnl
Taming Detection Transformers for Medical Object Detection.
CoRR
Marc K. Ickler, Michael Baumgartner, Saikat Roy, Tassilo Wald, Klaus H. Maier-Hein
2023 J jnl
Transformer Utilization in Medical Image Segmentation Networks.
CoRR
Saikat Roy, Gregor Köhler, Michael Baumgartner, Constantin Ulrich, Jens Petersen, Fabian Isensee, Klaus H. Maier-Hein
2023 — conf
atTRACTive: Semi-automatic White Matter Tract Segmentation Using Active Learning.
MICCAI (8)
Robin Peretzke, Klaus H. Maier-Hein, Jonas Bohn, Yannick Kirchhoff, Saikat Roy, Sabrina Oberli-Palma, Daniela Becker, Pavlina Lenga, Peter Neher
2023 J jnl
atTRACTive: Semi-automatic white matter tract segmentation using active learning.
CoRR
Robin Peretzke, Klaus H. Maier-Hein, Jonas Bohn, Yannick Kirchhoff, Saikat Roy, Sabrina Oberli-Palma, Daniela Becker, Pavlina Lenga, Peter Neher
2022 — conf
Are 2.5D approaches superior to 3D deep networks in whole brain segmentation?
MIDL
Saikat Roy, David Kügler, Martin Reuter
2018 B conf
Document Image Classification with Intra-Domain Transfer Learning and Stacked Generalization of Deep Convolutional Neural Networks.
ICPR
Arindam Das, Saikat Roy, Ujjwal Bhattacharya, Swapan K. Parui
2018 J jnl
Document Image Classification with Intra-Domain Transfer Learning and Stacked Generalization of Deep Convolutional Neural Networks.
CoRR
Arindam Das, Saikat Roy, Ujjwal Bhattacharya
2018 J jnl
Handwritten Isolated Bangla Compound Character Recognition: a new benchmark using a novel deep learning approach.
CoRR
Saikat Roy, Nibaran Das, Mahantapas Kundu, Mita Nasipuri
2018 J jnl
On maximum distance separable group codes with complementary duals.
CoRR
Saikat Roy, Satya Bagchi
2017 — conf
Convolutional Regression Framework for Human Health Prediction Under Social Influences.
COMSNETS (Revised Selected Papers and Invited Papers)
Srinka Basu, Saikat Roy, Ujjwal Maulik
2017 Misc conf
Convolutional regression framework for health behavior prediction.
COMSNETS
Srinka Basu, Saikat Roy, Ujjwal Maulik
2017 J jnl
Handwritten isolated Bangla compound character recognition: A new benchmark using a novel deep learning approach.
Pattern Recognit. Lett.
Saikat Roy, Nibaran Das, Mahantapas Kundu, Mita Nasipuri
2016 B conf
Generalized stacking of layerwise-trained Deep Convolutional Neural Networks for document image classification.
ICPR
Saikat Roy, Arindam Das, Ujjwal Bhattacharya
2013 — conf
A Bluetooth-Based Autonomous Mining System.
ICACNI
Saikat Roy, Soumalya Sarkar, Avranil Tah
2010 A* conf
Reinforcement Learning Via Practice and Critique Advice.
AAAI
Kshitij Judah, Saikat Roy, Alan Fern, Thomas G. Dietterich