Matthias Kohl

BACH: Grand challenge on breast cancer histology images

Sai Saketh Chennamsetty, Minh Nguyen Nhat To, Maximilian Baust, 2018, Medical Image Anal..

Reliable Saliency Maps for Weakly-Supervised Localization of Disease Patterns

Jan S. Kirschke, Stefan Braunewell, Matthias Kohl, 2020, iMIMIC/MIL3iD/LABELS@MICCAI.

A Multi-Organ Nucleus Segmentation Challenge

Hao Chen, Minh-Triet Tran, Alison Q. O'Neil, 2020, IEEE Transactions on Medical Imaging.

L2 differentiability of generalized linear models

P. Ruckdeschel, D. Pupashenko, Matthias Kohl, 2014, 1407.5798.

Computation of the Finite Sample Risk of M-Estimators on Neighborhoods

Peter Ruckdeschel, P. Ruckdeschel, Matthias Kohl, 2005 .

Object instance identification with fully convolutional networks

Georges Quénot, Philippe Mulhem, Jean-Pierre Chevallet, 2018, Multimedia Tools and Applications.

Fully Convolutional Network and Region Proposal for Instance Identification with Egocentric Vision

Georges Quénot, Jean-Pierre Chevallet, Matthias Kohl, 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

Infinitesimally Robust estimation in general smoothly parametrized models

Matthias Kohl, Peter Ruckdeschel, Helmut Rieder, 2009, Stat. Methods Appl..

The cost of not knowing the radius

Matthias Kohl, Peter Ruckdeschel, Helmut Rieder, 2008, Stat. Methods Appl..

General Purpose Convolution Algorithm in S4 Classes by Means of FFT

Matthias Kohl, Peter Ruckdeschel, P. Ruckdeschel, 2010, 1006.0764.

Assessment of Breast Cancer Histology using Densely Connected Convolutional Networks

Maximilian Baust, Stefan Braunewell, Matthias Kohl, 2018, ICIAR.