Saikat Roy

According to our database, Saikat Roy authored at least 22 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., January, 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 R. 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

CoRR, 2024

Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting.

Maximilian R. 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

CoRR, 2024

nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation.

Fabian Isensee, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jäger

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures.

Yannick Kirchhoff, Maximilian R. Rokuss, Saikat Roy, Balint Kovacs, Constantin Ulrich, Tassilo Wald, Maximilian Zenk, Philipp Vollmuth, Jens Kleesiek, Fabian Isensee, Klaus H. Maier-Hein

Proceedings of the Computer Vision - ECCV 2024, 2024

Abstract: 3D Medical Image Segmentation with Transformer-based Scaling of ConvNets - MedNeXt.

Saikat Roy, Gregor Köhler, Michael Baumgartner, Constantin Ulrich, Fabian Isensee, Paul F. Jaeger, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

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

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model.

Saikat Roy, Tassilo Wald, Gregor Köhler, Maximilian R. Rokuss, Nico Disch, Julius Holzschuh, David Zimmerer, Klaus H. Maier-Hein

CoRR, 2023

Transformer Utilization in Medical Image Segmentation Networks.

Saikat Roy, Gregor Köhler, Michael Baumgartner, Constantin Ulrich, Jens Petersen, Fabian Isensee, Klaus H. Maier-Hein

CoRR, 2023

MedNeXt: Transformer-Driven Scaling of ConvNets for Medical Image Segmentation.

Saikat Roy, Gregor Köhler, Constantin Ulrich, Michael Baumgartner, Jens Petersen, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Taming Detection Transformers for Medical Object Detection.

Marc K. Ickler, Michael Baumgartner, Saikat Roy, Tassilo Wald, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022

Are 2.5D approaches superior to 3D deep networks in whole brain segmentation?

Saikat Roy, David Kügler, Martin Reuter

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

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

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, Swapan K. Parui

Proceedings of the 24th International Conference on Pattern Recognition, 2018

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

Convolutional Regression Framework for Human Health Prediction Under Social Influences.

Srinka Basu, Saikat Roy, Ujjwal Maulik

Proceedings of the Communication Systems and Networks - 9th International Conference, 2017

Convolutional regression framework for health behavior prediction.

Srinka Basu, Saikat Roy, Ujjwal Maulik

Proceedings of the 9th International Conference on Communication Systems and Networks, 2017

2016

Generalized stacking of layerwise-trained Deep Convolutional Neural Networks for document image classification.

Saikat Roy, Arindam Das, Ujjwal Bhattacharya

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2013

A Bluetooth-Based Autonomous Mining System.

Saikat Roy, Soumalya Sarkar, Avranil Tah

Proceedings of the Intelligent Computing, 2013

2010

Reinforcement Learning Via Practice and Critique Advice.

Kshitij Judah, Saikat Roy, Alan Fern, Thomas G. Dietterich

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010