Nick Weiss

According to our database, Nick Weiss authored at least 16 papers between 2013 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

Deep feature based cross-slide registration.

Ruqayya Awan, Shan E Ahmed Raza, Johannes Lotz, Nick Weiss, Nasir M. Rajpoot

Comput. Medical Imaging Graph., March, 2023

The vendor-agnostic EMPAIA platform for integrating AI applications into digital pathology infrastructures.

Christoph Jansen, Björn Lindequist, Klaus Strohmenger, Daniel Romberg, Tobias Küster, Nick Weiss, Michael Franz, Lars Ole Schwen, Theodore Evans, André Homeyer, Norman Zerbe

Future Gener. Comput. Syst., 2023

2022

EMPAIA App Interface: An open and vendor-neutral interface for AI applications in pathology.

Daniel Romberg, Klaus Strohmenger, Christoph Jansen, Tobias Küster, Nick Weiss, Christian Geißler, Tomasz Soltysinski, Michael Takla, Peter Hufnagl, Norman Zerbe, André Homeyer

Comput. Methods Programs Biomed., 2022

The EMPAIA Platform: Vendor-neutral integration of AI applications into digital pathology infrastructures.

Christoph Jansen, Klaus Strohmenger, Daniel Romberg, Tobias Küster, Nick Weiss, Björn Lindequist, Michael Franz, André Homeyer, Norman Zerbe

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021

HyReCo - Hybrid re-stained and consecutive histological serial sections.

Jeroen van der Laak, Johannes Lotz, Nick Weiss, Stefan Heldmann

Dataset, December, 2021

High-resolution Image Registration of Consecutive and Re-stained Sections in Histopathology.

Johannes Lotz, Nick Weiss, Jeroen van der Laak, Stefan Heldmann

CoRR, 2021

2020

ANHIR: Automatic Non-Rigid Histological Image Registration Challenge.

Jirí Borovec, Jan Kybic, Ignacio Arganda-Carreras, Dmitry V. Sorokin, Gloria Bueno, Alexander V. Khvostikov, Spyridon Bakas, Eric I-Chao Chang, Stefan Heldmann, Kimmo Kartasalo, Leena Latonen, Johannes Lotz, Michelle Noga, Sarthak Pati, Kumaradevan Punithakumar, Pekka Ruusuvuori, Andrzej Skalski, Nazanin Tahmasebi, Masi Valkonen, Ludovic Venet, Yizhe Wang, Nick Weiss, Marek Wodzinski, Yu Xiang, Yan Xu, Yan Yan, Paul A. Yushkevich, Shengyu Zhao, Arrate Muñoz-Barrutia

IEEE Trans. Medical Imaging, 2020

Virtual staining for mitosis detection in Breast Histopathology.

Caner Mercan, Germonda Reijnen-Mooij, David Tellez Martin, Johannes Lotz, Nick Weiss, Marcel van Gerven, Francesco Ciompi

CoRR, 2020

Virtual Staining for Mitosis Detection in Breast Histopathology.

Caner Mercan, G. C. A. M. Mooij, David Tellez, Johannes Lotz, Nick Weiss, Marcel van Gerven, Francesco Ciompi

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

2019

Robust, fast and accurate: a 3-step method for automatic histological image registration.

Johannes Lotz, Nick Weiss, Stefan Heldmann

CoRR, 2019

2018

Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard.

Wouter Bulten, Péter Bándi, Jeffrey Hoven, Rob van de Loo, Johannes Lotz, Nick Weiss, Jeroen van der Laak, Bram van Ginneken, Christina A. Hulsbergen van de Kaa, Geert Litjens

CoRR, 2018

Deep learning nuclei detection: A simple approach can deliver state-of-the-art results.

Henning Höfener, André Homeyer, Nick Weiss, Jesper Molin, Claes F. Lundström, Horst K. Hahn

Comput. Medical Imaging Graph., 2018

Towards Interactive Breast Tumor Classification Using Transfer Learning.

Nick Weiss, Henning Kost, André Homeyer

Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

2015

Multimodal Image Registration in Digital Pathology Using Cell Nuclei Densities.

Nick Weiss, Johannes Lotz, Jan Modersitzki

Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

2013

Multiple Sclerosis Lesion Segmentation Using Dictionary Learning and Sparse Coding.

Nick Weiss, Daniel Rueckert, Anil Rao

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013