Reinforcement Learning Via Practice and Critique Advice. - Kshitij Judah; Saikat Roy; Alan Fern; Thomas G. Dietterich (AAAI, 2010)

A Bluetooth-Based Autonomous Mining System. - Saikat Roy; Soumalya Sarkar; Avranil Tah (ICACNI, 2013)

Generalized stacking of layerwise-trained Deep Convolutional Neural Networks for document image classification. - Saikat Roy; Arindam Das; Ujjwal Bhattacharya (ICPR, 2016)

Convolutional regression framework for health behavior prediction. - Srinka Basu; Saikat Roy; Ujjwal Maulik (COMSNETS, 2017)

Convolutional Regression Framework for Human Health Prediction Under Social Influences. - Srinka Basu; Saikat Roy; Ujjwal Maulik (COMSNETS (Revised Selected Papers and Invited Papers), 2017)

Handwritten isolated Bangla compound character recognition: A new benchmark using a novel deep learning approach. - Saikat Roy; Nibaran Das; Mahantapas Kundu; Mita Nasipuri (Pattern Recognit. Lett., 2017)

Document Image Classification with Intra-Domain Transfer Learning and Stacked Generalization of Deep Convolutional Neural Networks. - Arindam Das; Saikat Roy; Ujjwal Bhattacharya; Swapan K. Parui (ICPR, 2018)

On maximum distance separable group codes with complementary duals. - Saikat Roy; Satya Bagchi (CoRR, 2018)

Document Image Classification with Intra-Domain Transfer Learning and Stacked Generalization of Deep Convolutional Neural Networks. - Arindam Das; Saikat Roy; Ujjwal Bhattacharya (CoRR, 2018)

Are 2.5D approaches superior to 3D deep networks in whole brain segmentation? - Saikat Roy; David Kügler; Martin Reuter 001 (MIDL, 2022)

Taming Detection Transformers for Medical Object Detection. - Marc K. Ickler; Michael Baumgartner 001; Saikat Roy; Tassilo Wald; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2023)

atTRACTive: Semi-automatic White Matter Tract Segmentation Using Active Learning. - Robin Peretzke; Klaus H. Maier-Hein; Jonas Bohn; Yannick Kirchhoff; Saikat Roy; Sabrina Oberli-Palma; Daniela Becker; Pavlina Lenga; Peter Neher (MICCAI (8), 2023)

MedNeXt: Transformer-Driven Scaling of ConvNets for Medical Image Segmentation. - Saikat Roy; Gregor Köhler; Constantin Ulrich; Michael Baumgartner 001; Jens Petersen; Fabian Isensee; Paul F. Jäger; Klaus H. Maier-Hein (MICCAI (4), 2023)

Transformer Utilization in Medical Image Segmentation Networks. - Saikat Roy; Gregor Köhler; Michael Baumgartner 001; Constantin Ulrich; Jens Petersen; Fabian Isensee; Klaus H. Maier-Hein (CoRR, 2023)

SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model. - Saikat Roy; Tassilo Wald; Gregor Köhler; Maximilian Rokuss; Nico Disch; Julius Holzschuh; David Zimmerer; Klaus H. Maier-Hein (CoRR, 2023)

Abstract: Semi-automatic White Matter Tract Segmentation using Active Learning atTRACTive. - Robin Peretzke; Klaus H. Maier-Hein; Jonas Bohn; Yannick Kirchhoff; Saikat Roy; Sabrina Oberli-Palma; Daniela Becker; Pavlina Lenga; Peter Neher (Bildverarbeitung für die Medizin, 2024)

Abstract: 3D Medical Image Segmentation with Transformer-based Scaling of ConvNets - MedNeXt. - Saikat Roy; Gregor Köhler; Michael Baumgartner 001; Constantin Ulrich; Fabian Isensee; Paul F. Jaeger; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2024)

Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures. - Yannick Kirchhoff; Maximilian Rokuss; Saikat Roy; Balint Kovacs; Constantin Ulrich; Tassilo Wald; Maximilian Zenk; Philipp Vollmuth; Jens Kleesiek; Fabian Isensee; Klaus H. Maier-Hein (ECCV (77), 2024)

Back to the Future: Challenges of Sparse and Irregular Medical Image Time Series. - Nico Disch; Robin Peretzke; Saikat Roy; Constantin Ulrich; David Zimmerer; Rainer Stiefelhagen; Jens Kleesiek; Klaus H. Maier-Hein (LDTM/MMMI/ML4MHD/ML-CDS@MICCAI, 2024)

nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation. - Fabian Isensee; Tassilo Wald; Constantin Ulrich; Michael Baumgartner 001; Saikat Roy; Klaus H. Maier-Hein; Paul F. Jäger (MICCAI (9), 2024)

Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting. - 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 (LDTM/MMMI/ML4MHD/ML-CDS@MICCAI, 2024)

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? - 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 002; Junjun He; et al. (NeurIPS, 2024)

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? - 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 002; Junjun He; et al. (CoRR, 2024)

Preparation of Rich Lists of Research Gaps in the Specific Sentiment Analysis Tasks of Code-mixed Indian Languages. - Jatinderkumar R. Saini; Saikat Roy (SN Comput. Sci., 2024)

Abstract: nnU-Net Revisited - Call for Rigorous Validation in 3D Medical Image Segmentation. - Fabian Isensee; Tassilo Wald; Constantin Ulrich; Michael Baumgartner 001; Saikat Roy; Klaus H. Maier-Hein; Paul F. Jäger (Bildverarbeitung für die Medizin, 2025)

Abstract: Skeleton Recall Loss - Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures. - Yannick Kirchhoff; Maximilian Rokuss; Saikat Roy; Balint Kovacs; Constantin Ulrich; Tassilo Wald; Maximilian Zenk; Philipp Vollmuth; Jens Kleesiek; Fabian Isensee; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2025)

Abstract: Client Security Alone Fails in Federated Learning - 2D and 3D Attack Insights. - Santhosh Parampottupadam; Ralf Floca; Dimitrios Bounias; Benjamin Hamm; Saikat Roy; Sinem Sav; Maximilian Zenk; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2025)

Abstract: Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting. - 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 (Bildverarbeitung für die Medizin, 2025)

LesionLocator: Zero-Shot Universal Tumor Segmentation and Tracking in 3D Whole-Body Imaging. - Maximilian Rokuss; Yannick Kirchhoff; Seval Akbal; Balint Kovacs; Saikat Roy; Constantin Ulrich; Tassilo Wald; Lukas T. Rotkopf; Heinz-Peter Schlemmer; Klaus H. Maier-Hein (CVPR, 2025)

A Quadrant Partitioned-RRT* (QP-RRT*) Autonomous Agent. - Aritra Saha; Saikat Roy (ICAA, 2025)

Investigating the Feasibility of Patch-Based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images. - Saikat Roy; Mahmoud Mostapha; Radu Miron 003; Matt Holbrook; Mariappan S. Nadar (ISBI, 2025)

ScaleMAI: Accelerating the Development of Trusted Datasets and AI Models. - Wenxuan Li; Pedro R. A. S. Bassi; Tianyu Lin; Yu-Cheng Chou; Xinze Zhou; Yucheng Tang; Fabian Isensee; Kang Wang 004; Qi Chen; Xiaowei Xu; Xiaoxi Chen; Lizhou Wu; et al. (CoRR, 2025)

Primus: Enforcing Attention Usage for 3D Medical Image Segmentation. - Tassilo Wald; Saikat Roy; Fabian Isensee; Constantin Ulrich; Sebastian Ziegler; Dasha Trofimova; Raphael Stock; Michael Baumgartner 001; Gregor Köhler; Klaus H. Maier-Hein (CoRR, 2025)

Inclusive, Differentially Private Federated Learning for Clinical Data. - Santhosh Parampottupadam; Melih Cosgun; Sarthak Pati; Maximilian Zenk; Saikat Roy; Dimitrios Bounias; Benjamin Hamm; Sinem Sav; Ralf Floca; Klaus H. Maier-Hein (CoRR, 2025)