受强制性开放获取政策约束的文章 - Peter Hufnagl了解详情
无法在其他位置公开访问的文章：4 篇
Cancer beyond organ and tissue specificity: next‐generation‐sequencing gene mutation data reveal complex genetic similarities across major cancers
D Heim, J Budczies, A Stenzinger, D Treue, P Hufnagl, C Denkert, ...
International journal of cancer 135 (10), 2362-2369, 2014
强制性开放获取政策： Human Frontier Science Program
Curious Containers: A framework for computational reproducibility in life sciences with support for Deep Learning applications
C Jansen, J Annuscheit, B Schilling, K Strohmenger, M Witt, F Bartusch, ...
Future Generation Computer Systems 112, 209-227, 2020
强制性开放获取政策： Federal Ministry of Education and Research, Germany
Higher Education Teaching Material on Machine Learning in the Domain of Digital Pathology
K Strohmenger, C Herta, O Fischer, J Annuscheit, P Hufnagl
Artificial Intelligence and Machine Learning for Digital Pathology: State-of …, 2020
强制性开放获取政策： Federal Ministry of Education and Research, Germany
OBDEX–Open Block Data Exchange System
B Lindequist, N Zerbe, P Hufnagl
Artificial Intelligence and Machine Learning for Digital Pathology: State-of …, 2020
强制性开放获取政策： Federal Ministry of Education and Research, Germany
可在其他位置公开访问的文章：10 篇
Telestroke ambulances in prehospital stroke management: concept and pilot feasibility study
TG Liman, B Winter, C Waldschmidt, N Zerbe, P Hufnagl, HJ Audebert, ...
Stroke 43 (8), 2086-2090, 2012
强制性开放获取政策： German Research Foundation
Artificial intelligence in pathology
S Försch, F Klauschen, P Hufnagl, W Roth
Deutsches Ärzteblatt International 118 (12), 199, 2021
强制性开放获取政策： Federal Ministry of Education and Research, Germany
Recommendations on compiling test datasets for evaluating artificial intelligence solutions in pathology
A Homeyer, C Geißler, LO Schwen, F Zakrzewski, T Evans, ...
Modern Pathology 35 (12), 1759-1769, 2022
强制性开放获取政策： Austrian Science Fund, German Research Foundation, Helmholtz Association …
Reproducibility of HER2/neu scoring in gastric cancer and assessment of the 10% cut‐off rule
HM Behrens, VS Warneke, C Böger, N Garbrecht, E Jüttner, W Klapper, ...
Cancer medicine 4 (2), 235-244, 2015
强制性开放获取政策： German Research Foundation
Supervised machine learning in oncology: a clinician's guide
N Murali, A Kucukkaya, A Petukhova, J Onofrey, J Chapiro
Digestive disease interventions 4 (01), 073-081, 2020
强制性开放获取政策： US National Institutes of Health
Assessment of scalability and performance of the record linkage tool E-PIX® in managing multi-million patients in research projects at a large university hospital in …
C Hampf, L Geidel, N Zerbe, M Bialke, D Stahl, A Blumentritt, T Bahls, ...
Journal of Translational Medicine 18, 1-11, 2020
强制性开放获取政策： German Research Foundation
Computational analysis reveals histotype-dependent molecular profile and actionable mutation effects across cancers
D Heim, G Montavon, P Hufnagl, KR Müller, F Klauschen
Genome Medicine 10, 1-17, 2018
强制性开放获取政策： German Research Foundation, Federal Ministry of Education and Research, Germany
On Divide&Conquer in Image Processing of Data Monster
H Hessling, M Strutz, EI Buchholz, P Hufnagl
Big Data Research 25, 100214, 2021
强制性开放获取政策： Federal Ministry of Education and Research, Germany
Joining forces for pathology diagnostics with AI assistance: The EMPAIA initiative
N Zerbe, LO Schwen, C Geißler, K Wiesemann, T Bisson, P Boor, ...
Journal of Pathology Informatics, 100387, 2024
强制性开放获取政策： European Commission
A Novel Method for the Correlation of Histological Slides and MRI Imaging of the Prostate using 3D Vertex Models
T Bisson, I Piwonski, S Lohmann, N Zerbe, A Maxeiner, D Horst, ...
强制性开放获取政策： German Research Foundation
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