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Nick Weiss
Nick Weiss
Wissenschaftlicher Mitarbeiter, Fraunhofer MEVIS
Verified email at mevis.fraunhofer.de
Title
Cited by
Cited by
Year
Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard
W Bulten, P Bándi, J Hoven, R Loo, J Lotz, N Weiss, J Laak, B Ginneken, ...
Scientific reports 9 (1), 864, 2019
1702019
ANHIR: automatic non-rigid histological image registration challenge
J Borovec, J Kybic, I Arganda-Carreras, DV Sorokin, G Bueno, ...
IEEE transactions on medical imaging 39 (10), 3042-3052, 2020
1412020
Multiple sclerosis lesion segmentation using dictionary learning and sparse coding
N Weiss, D Rueckert, A Rao
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013
1012013
Deep learning nuclei detection: A simple approach can deliver state-of-the-art results
H Höfener, A Homeyer, N Weiss, J Molin, CF Lundström, HK Hahn
Computerized Medical Imaging and Graphics 70, 43-52, 2018
1002018
Virtual staining for mitosis detection in breast histopathology
C Mercan, G Mooij, D Tellez, J Lotz, N Weiss, M van Gerven, F Ciompi
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1770-1774, 2020
432020
Artificial intelligence in pathology: From prototype to product
A Homeyer, J Lotz, LO Schwen, N Weiss, D Romberg, H Höfener, N Zerbe, ...
Journal of pathology informatics 12 (1), 13, 2021
332021
Optimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics
MCA Balkenhol, F Ciompi, Ż Świderska-Chadaj, R van de Loo, M Intezar, ...
The Breast 56, 78-87, 2021
302021
Automated segmentation and quantification of the healthy and diseased aorta in CT angiographies using a dedicated deep learning approach
MM Sieren, C Widmann, N Weiss, JH Moltz, F Link, F Wegner, ...
European radiology 32 (1), 690-701, 2022
292022
Data-driven discovery of immune contexture biomarkers
LO Schwen, E Andersson, K Korski, N Weiss, S Haase, F Gaire, HK Hahn, ...
Frontiers in oncology 8, 627, 2018
272018
Robust, fast and accurate: a 3-step method for automatic histological image registration
J Lotz, N Weiss, S Heldmann
arXiv preprint arXiv:1903.12063, 2019
262019
Towards interactive breast tumor classification using transfer learning
N Weiss, H Kost, A Homeyer
Image Analysis and Recognition: 15th International Conference, ICIAR 2018 …, 2018
162018
Automated quantification of steatosis: agreement with stereological point counting
A Homeyer, P Nasr, C Engel, S Kechagias, P Lundberg, M Ekstedt, H Kost, ...
Diagnostic pathology 12, 1-10, 2017
152017
The ACROBAT 2022 challenge: automatic registration of breast cancer tissue
P Weitz, M Valkonen, L Solorzano, C Carr, K Kartasalo, C Boissin, ...
Medical image analysis 97, 103257, 2024
132024
Comparison of consecutive and restained sections for image registration in histopathology
J Lotz, N Weiss, J van der Laak, S Heldmann
Journal of Medical Imaging 10 (6), 067501-067501, 2023
122023
Deep feature based cross-slide registration
R Awan, SEA Raza, J Lotz, N Weiss, N Rajpoot
Computerized Medical Imaging and Graphics 104, 102162, 2023
122023
Stain-independent deep learning–based analysis of digital kidney histopathology
N Bouteldja, DL Hölscher, BM Klinkhammer, RD Buelow, J Lotz, N Weiss, ...
The American Journal of Pathology 193 (1), 73-83, 2023
112023
The vendor-agnostic EMPAIA platform for integrating AI applications into digital pathology infrastructures
C Jansen, B Lindequist, K Strohmenger, D Romberg, T Küster, N Weiss, ...
Future Generation Computer Systems 140, 209-224, 2023
92023
EMPAIA app interface: an open and vendor-neutral interface for AI applications in pathology
D Romberg, K Strohmenger, C Jansen, T Küster, N Weiss, C Geißler, ...
Computer Methods and Programs in Biomedicine 215, 106596, 2022
82022
Parietal epithelial cells maintain the epithelial cell continuum forming Bowman's space in focal segmental glomerulosclerosis
L Miesen, P Bándi, B Willemsen, F Mooren, T Strieder, E Boldrini, ...
Disease Models & Mechanisms 15 (3), dmm046342, 2022
62022
High-resolution image registration of consecutive and re-stained sections in histopathology
J Lotz, N Weiss, J van der Laak, S Heldmann
arXiv preprint arXiv:2106.13150, 2021
52021
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