Saikat Roy

PhD Student (MIC, DKFZ)

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About Me


I am a PhD student under the supervision of Prof. Dr. Klaus Maier-Hein at the German Cancer Research Center (DKFZ), Germany. I am also affiliated with Heidelberg University, Germany.

My research interests broadly intersect machine learning and medical image analysis.

My PhD thesis focuses on representation learning in Transformers and self-attention based networks for segmenting organs and pathologies in radiological images. The insights from my work demonstrate noticeable challenges for transformer-based networks for learning representations for on small and sparsely-annotated medical image datasets. My work also demonstrates that convolutional architectures with Transformer-based scaling are ideal for medical image segmentation.

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Major Publications


MedNeXt: Transformer-driven Scaling of Convolutional Networks for 3D medical image segmentation
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation

MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation


First author, MICCAI 2023 (Core Ranking: A)
Early Accept, Top 14% of submissions

MedNeXt is a fully ConvNeXt architecture designed for state-of-the-art 3D medical image segmentation. It beats a wide range of ConvNet and Transformer based baselines on a number of challenging public datasets.

Code: https://github.com/MIC-DKFZ/MedNeXt Paper: https://arxiv.org/abs/2303.09975

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