Saikat Roy

PhD Student (MIC, DKFZ)

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Publications


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


Convolutional regression framework for health behavior prediction


Srinka Basu, Saikat Roy, U. Maulik

International Conference on Communication Systems and Networks, 2017


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


Saikat Roy, Arindam Das, U. Bhattacharya

International Conference on Pattern Recognition, 2016

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