Taming Detection Transformers for Medical Object Detection
Marc K. Ickler, M. Baumgartner, Saikat Roy, T. Wald, K. Maier-Hein
arXiv.org, 2023
atTRACTive: Semi-automatic white matter tract segmentation using active learning
Robin Peretzke, Klaus Maier-Hein, Jonas Bohn, Y. Kirchhoff, Saikat Roy, Sabrina Oberli-Palma, Daniela Becker, P. Lenga, P. Neher
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2023
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
Saikat Roy, Gregor Koehler, Constantin Ulrich, M. Baumgartner, Jens Petersen, Fabian Isensee, P. Jaeger, K. Maier-Hein
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2023
Transformer Utilization in Medical Image Segmentation Networks
Saikat Roy, Gregor Koehler, M. Baumgartner, Constantin Ulrich, Jens Petersen, Fabian Isensee, K. Maier-Hein
arXiv.org, 2023
SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model
Saikat Roy, T. Wald, Gregor Koehler, Maximilian R. Rokuss, Nico Disch, J. Holzschuh, David Zimmerer, K. Maier-Hein
arXiv.org, 2023
Are 2.5D approaches superior to 3D deep networks in whole brain segmentation?
Saikat Roy, David Kügler, M. Reuter
International Conference on Medical Imaging with Deep Learning, 2022
Arindam Das, Saikat Roy, U. Bhattacharya
International Conference on Pattern Recognition, 2018
Saikat Roy, N. Das, M. Kundu, M. Nasipuri
Pattern Recognition Letters, 2017
Convolutional regression framework for health behavior prediction
Srinka Basu, Saikat Roy, U. Maulik
International Conference on Communication Systems and Networks, 2017
Saikat Roy, Arindam Das, U. Bhattacharya
International Conference on Pattern Recognition, 2016