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Saikat Roy
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2020 – today
- 2024
- [j2]Jatinderkumar R. Saini, Saikat Roy:
Preparation of Rich Lists of Research Gaps in the Specific Sentiment Analysis Tasks of Code-mixed Indian Languages. SN Comput. Sci. 5(1): 117 (2024) - [c14]Saikat Roy, Gregor Köhler, Michael Baumgartner, Constantin Ulrich, Fabian Isensee, Paul F. Jaeger, Klaus H. Maier-Hein:
Abstract: 3D Medical Image Segmentation with Transformer-based Scaling of ConvNets - MedNeXt. Bildverarbeitung für die Medizin 2024: 79 - [c13]Robin Peretzke, Klaus H. Maier-Hein, Jonas Bohn, Yannick Kirchhoff, Saikat Roy, Sabrina Oberli-Palma, Daniela Becker, Pavlina Lenga, Peter Neher:
Abstract: Semi-automatic White Matter Tract Segmentation using Active Learning atTRACTive. Bildverarbeitung für die Medizin 2024: 335 - [c12]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:
Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures. ECCV (77) 2024: 218-234 - [c11]Fabian Isensee, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jäger:
nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation. MICCAI (9) 2024: 488-498 - [i11]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:
Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures. CoRR abs/2404.03010 (2024) - [i10]Fabian Isensee, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger:
nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation. CoRR abs/2404.09556 (2024) - [i9]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:
Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting. CoRR abs/2409.13416 (2024) - 2023
- [c10]Marc K. Ickler, Michael Baumgartner, Saikat Roy, Tassilo Wald, Klaus H. Maier-Hein:
Taming Detection Transformers for Medical Object Detection. Bildverarbeitung für die Medizin 2023: 183-188 - [c9]Robin Peretzke, Klaus H. Maier-Hein, Jonas Bohn, Yannick Kirchhoff, Saikat Roy, Sabrina Oberli-Palma, Daniela Becker, Pavlina Lenga, Peter Neher:
atTRACTive: Semi-automatic White Matter Tract Segmentation Using Active Learning. MICCAI (8) 2023: 237-246 - [c8]Saikat Roy, Gregor Köhler, Constantin Ulrich, Michael Baumgartner, Jens Petersen, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein:
MedNeXt: Transformer-Driven Scaling of ConvNets for Medical Image Segmentation. MICCAI (4) 2023: 405-415 - [i8]Saikat Roy, Gregor Köhler, Constantin Ulrich, Michael Baumgartner, Jens Petersen, Fabian Isensee, Paul F. Jaeger, Klaus H. Maier-Hein:
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation. CoRR abs/2303.09975 (2023) - [i7]Saikat Roy, Gregor Köhler, Michael Baumgartner, Constantin Ulrich, Jens Petersen, Fabian Isensee, Klaus H. Maier-Hein:
Transformer Utilization in Medical Image Segmentation Networks. CoRR abs/2304.04225 (2023) - [i6]Saikat Roy, Tassilo Wald, Gregor Köhler, Maximilian R. Rokuss, Nico Disch, Julius Holzschuh, David Zimmerer, Klaus H. Maier-Hein:
SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model. CoRR abs/2304.05396 (2023) - [i5]Robin Peretzke, Klaus H. Maier-Hein, Jonas Bohn, Yannick Kirchhoff, Saikat Roy, Sabrina Oberli-Palma, Daniela Becker, Pavlina Lenga, Peter Neher:
atTRACTive: Semi-automatic white matter tract segmentation using active learning. CoRR abs/2305.18905 (2023) - [i4]Marc K. Ickler, Michael Baumgartner, Saikat Roy, Tassilo Wald, Klaus H. Maier-Hein:
Taming Detection Transformers for Medical Object Detection. CoRR abs/2306.15472 (2023) - 2022
- [c7]Saikat Roy, David Kügler, Martin Reuter:
Are 2.5D approaches superior to 3D deep networks in whole brain segmentation? MIDL 2022: 988-1004
2010 – 2019
- 2018
- [c6]Arindam Das, Saikat Roy, Ujjwal Bhattacharya, Swapan K. Parui:
Document Image Classification with Intra-Domain Transfer Learning and Stacked Generalization of Deep Convolutional Neural Networks. ICPR 2018: 3180-3185 - [i3]Saikat Roy, Satya Bagchi:
On maximum distance separable group codes with complementary duals. CoRR abs/1801.00961 (2018) - [i2]Arindam Das, Saikat Roy, Ujjwal Bhattacharya:
Document Image Classification with Intra-Domain Transfer Learning and Stacked Generalization of Deep Convolutional Neural Networks. CoRR abs/1801.09321 (2018) - [i1]Saikat Roy, Nibaran Das, Mahantapas Kundu, Mita Nasipuri:
Handwritten Isolated Bangla Compound Character Recognition: a new benchmark using a novel deep learning approach. CoRR abs/1802.00671 (2018) - 2017
- [j1]Saikat Roy, Nibaran Das, Mahantapas Kundu, Mita Nasipuri:
Handwritten isolated Bangla compound character recognition: A new benchmark using a novel deep learning approach. Pattern Recognit. Lett. 90: 15-21 (2017) - [c5]Srinka Basu, Saikat Roy, Ujjwal Maulik:
Convolutional regression framework for health behavior prediction. COMSNETS 2017: 214-221 - [c4]Srinka Basu, Saikat Roy, Ujjwal Maulik:
Convolutional Regression Framework for Human Health Prediction Under Social Influences. COMSNETS (Revised Selected Papers and Invited Papers) 2017: 243-261 - 2016
- [c3]Saikat Roy, Arindam Das, Ujjwal Bhattacharya:
Generalized stacking of layerwise-trained Deep Convolutional Neural Networks for document image classification. ICPR 2016: 1273-1278 - 2013
- [c2]Saikat Roy, Soumalya Sarkar, Avranil Tah:
A Bluetooth-Based Autonomous Mining System. ICACNI 2013: 57-65 - 2010
- [c1]Kshitij Judah, Saikat Roy, Alan Fern, Thomas G. Dietterich:
Reinforcement Learning Via Practice and Critique Advice. AAAI 2010: 481-486
Coauthor Index
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last updated on 2024-12-02 22:31 CET by the dblp team
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