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Saikat Roy
Saikat Roy
Doctoral Researcher, German Cancer Research Center (DKFZ)
Bestätigte E-Mail-Adresse bei dkfz.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Handwritten isolated Bangla compound character recognition: A new benchmark using a novel deep learning approach
S Roy, N Das, M Kundu, M Nasipuri
Pattern Recognition Letters 90, 15-21, 2017
1282017
Document image classification with intra-domain transfer learning and stacked generalization of deep convolutional neural networks
A Das, S Roy, U Bhattacharya, SK Parui
2018 24th International Conference on Pattern Recognition (ICPR), 3180-3185, 2018
1062018
Sam. md: Zero-shot medical image segmentation capabilities of the segment anything model
S Roy, T Wald, G Koehler, MR Rokuss, N Disch, J Holzschuh, D Zimmerer, ...
Medical Imaging with Deep Learning, short paper track, 2023, 2023
612023
MedNeXt: Transformer-driven scaling of convnets for medical image segmentation
S Roy, G Koehler, C Ulrich, M Baumgartner, J Petersen, F Isensee, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2023
342023
Generalized stacking of layerwise-trained deep convolutional neural networks for document image classification
S Roy, A Das, U Bhattacharya
2016 23rd International Conference on Pattern Recognition (ICPR), 1273-1278, 2016
192016
Are 2.5 D approaches superior to 3D deep networks in whole brain segmentation?
S Roy, D Kügler, M Reuter
International Conference on Medical Imaging with Deep Learning, 988-1004, 2022
72022
Convolutional regression framework for health behavior prediction
S Basu, S Roy, U Maulik
2017 9th International Conference on Communication Systems and Networks …, 2017
42017
Taming Detection Transformers for Medical Object Detection
MK Ickler, M Baumgartner, S Roy, T Wald, KH Maier-Hein
BVM Workshop, 183-188, 2023
32023
atTRACTive: Semi-automatic white matter tract segmentation using active learning
R Peretzke, KH Maier-Hein, J Bohn, Y Kirchhoff, S Roy, S Oberli-Palma, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2023
22023
Transformer Utilization in Medical Image Segmentation Networks
S Roy, G Koehler, M Baumgartner, C Ulrich, J Petersen, F Isensee, ...
Medical Imaging Meets NeurIPS (MedNeurIPS), 2022
22022
nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation
F Isensee, T Wald, C Ulrich, M Baumgartner, S Roy, K Maier-Hein, ...
arXiv preprint arXiv:2404.09556, 2024
2024
Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures
Y Kirchhoff, MR Rokuss, S Roy, B Kovacs, C Ulrich, T Wald, M Zenk, ...
arXiv preprint arXiv:2404.03010, 2024
2024
Semi-automatic White Matter Tract Segmentation using Active Learning atTRACTive
R Peretzke, K Maier-Hein, J Bohn, Y Kirchhoff, S Roy, S Oberli-Palme, ...
BVM Workshop, 335-335, 2024
2024
3D Medical Image Segmentation with Transformer-based Scaling of ConvNets: MedNeXt
S Roy, G Koehler, M Baumgartner, C Ulrich, F Isensee, PF Jaeger, ...
BVM Workshop, 79-79, 2024
2024
Lost in Transformation: Current roadblocks for Transformers in 3D medical image segmentation
S Roy, T Wald, M Baumgartner, C Ulrich, G Koehler, D Zimmerer, ...
2023
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