Philippe Weitz

According to our database, Philippe Weitz authored at least 11 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue.

Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Kristiane Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Stephanie Robertson, Christian Marzahl, Chandler D. Gatenbee, Alexander R. A. Anderson, Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller, Daniel Budelmann, Nick Weiss, Stefan Heldmann, Johannes Lotz, Jelmer M. Wolterink, Bruno De Santi, Abhijeet Patil, Amit Sethi, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Mahtab Farrokh, Neeraj Kumar, Russell Greiner, Leena Latonen, Anne-Vibeke Laenkholm, Johan Hartman, Pekka Ruusuvuori, Mattias Rantalainen

Medical Image Anal., 2024

2023

Increasing the usefulness of already existing annotations through WSI registration.

Philippe Weitz, Viktoria Sartor, Balazs Acs, Stephanie Robertson, Daniel Budelmann, Johan Hartman, Mattias Rantalainen

CoRR, 2023

2022

ACROBAT - a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology.

Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Kristiane Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Leena Latonen, Anne-Vibeke Laenkholm, Johan Hartman, Pekka Ruusuvuori, Mattias Rantalainen

CoRR, 2022

Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networks.

Philippe Weitz, Yinxi Wang, Kimmo Kartasalo, Lars Egevad, Johan Lindberg, Henrik Grönberg, Martin Eklund, Mattias Rantalainen

Bioinform., 2022

2021

Using deep learning to detect patients at risk for prostate cancer despite benign biopsies.

Bojing Liu, Yinxi Wang, Philippe Weitz, Johan Lindberg, Lars Egevad, Henrik Grönberg, Martin Eklund, Mattias Rantalainen

CoRR, 2021

An investigation of attention mechanisms in histopathology whole-slide-image analysis for regression objectives.

Philippe Weitz, Yinxi Wang, Johan Hartman, Mattias Rantalainen

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Radiomic Feature Stability Analysis Based on Probabilistic Segmentations.

Christoph Haarburger, Justus Schock, Daniel Truhn, Philippe Weitz, Gustav Mueller-Franzes, Leon Weninger, Dorit Merhof

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Radiomic Feature Stability Analysis based on Probabilistic Segmentations.

Christoph Haarburger, Justus Schock, Daniel Truhn, Philippe Weitz, Leon Weninger, Dorit Merhof

CoRR, 2019

Image-Based Survival Prediction for Lung Cancer Patients Using CNNS.

Christoph Haarburger, Philippe Weitz, Oliver Rippel, Dorit Merhof

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Image-based Survival Analysis for Lung Cancer Patients using CNNs.

Christoph Haarburger, Philippe Weitz, Oliver Rippel, Dorit Merhof

CoRR, 2018

2017

SensInDenT - Noncontact Sensors Integrated Into Dental Treatment Units.

Daniel Teichmann, Maren Teichmann, Philippe Weitz, Stefan Wolfart, Steffen Leonhardt, Marian Walter

IEEE Trans. Biomed. Circuits Syst., 2017