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Karl Rohr

CellCentroidFormer: Combining Self-attention and Convolution for Cell Detection

Jun 01, 2022
Royden Wagner, Karl Rohr

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* Accepted at MIUA 2022

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EfficientCellSeg: Efficient Volumetric Cell Segmentation Using Context Aware Pseudocoloring

Apr 06, 2022
Royden Wagner, Karl Rohr

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* Accepted at MIDL 2022

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Towards ultra-high resolution 3D reconstruction of a whole rat brain from 3D-PLI data

Jul 29, 2018
Sharib Ali, Martin Schober, Philipp Schlöme, Katrin Amunts, Markus Axer, Karl Rohr

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* 9 pages, Accepted at 2nd International Workshop on Connectomics in NeuroImaging (CNI), MICCAI'2018

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Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge

Jul 22, 2018
Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikael Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric I-Chao Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim

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* Overview paper of the TUPAC16 challenge: http://tupac.tue-image.nl/

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Automatic breast cancer grading in lymph nodes using a deep neural network

Jul 24, 2017
Thomas Wollmann, Karl Rohr

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