T
Thomas Walter
Researcher at French Institute of Health and Medical Research
Publications - 180
Citations - 7447
Thomas Walter is an academic researcher from French Institute of Health and Medical Research. The author has contributed to research in topics: Neuroendocrine tumors & Computer science. The author has an hindex of 33, co-authored 165 publications receiving 6168 citations. Previous affiliations of Thomas Walter include Mines ParisTech & Claude Bernard University Lyon 1.
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Journal ArticleDOI
A contribution of image processing to the diagnosis of diabetic retinopathy-detection of exudates in color fundus images of the human retina
TL;DR: In the framework of computer assisted diagnosis of diabetic retinopathy, a new algorithm for detection of exudates is presented and discussed, which has been tested on a small image data base and compared with the performance of a human grader.
Journal ArticleDOI
Phenotypic profiling of the human genome by time-lapse microscopy reveals cell division genes
Beate Neumann,Thomas Walter,Jean-Karim Hériché,Jutta Bulkescher,Holger Erfle,Christian Conrad,Phill Rogers,Ina Poser,Michael Held,Urban Liebel,Cihan Cetin,Frank Sieckmann,Gregoire Pau,Rolf Kabbe,Annelie Wünsche,Venkata P. Satagopam,Michael H.A. Schmitz,Catherine Chapuis,Daniel W. Gerlich,Reinhard Schneider,Roland Eils,Wolfgang Huber,Jan-Michael Peters,Anthony A. Hyman,Richard Durbin,Rainer Pepperkok,Jan Ellenberg +26 more
TL;DR: This study carried out a genome-wide phenotypic profiling of each of the ∼21,000 human protein-coding genes by two-day live imaging of fluorescently labelled chromosomes, which allowed us to identify hundreds of human genes involved in diverse biological functions including cell division, migration and survival.
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Assessment of algorithms for mitosis detection in breast cancer histopathology images
Mitko Veta,Paul J. van Diest,Stefan M. Willems,Haibo Wang,Anant Madabhushi,Angel Cruz-Roa,Fabio A. González,Anders Boesen Lindbo Larsen,Jacob S. Vestergaard,Anders Bjorholm Dahl,Dan Ciresan,Jürgen Schmidhuber,Alessandro Giusti,Luca Maria Gambardella,F. Boray Tek,Thomas Walter,Thomas Walter,Thomas Walter,Ching-Wei Wang,Satoshi Kondo,Satoshi Kondo,Bogdan J. Matuszewski,Frédéric Precioso,Violet Snell,Josef Kittler,Teofilo de Campos,Teofilo de Campos,Adnan Mujahid Khan,Nasir M. Rajpoot,Nasir M. Rajpoot,Evdokia Arkoumani,Miangela M. Lacle,Max A. Viergever,Josien P. W. Pluim +33 more
TL;DR: The results from the Assessment of Mitosis Detection Algorithms 2013 (AMIDA13) challenge are described and the top performing method has an error rate that is comparable to the inter-observer agreement among pathologists.
Journal ArticleDOI
CellCognition: time-resolved phenotype annotation in high-throughput live cell imaging
Michael Held,Michael H.A. Schmitz,Michael H.A. Schmitz,Bernd Fischer,Thomas Walter,Beate Neumann,Michael H. Olma,Matthias Peter,Jan Ellenberg,Daniel W. Gerlich,Daniel W. Gerlich +10 more
TL;DR: A machine-learning method that combines state-of-the-art classification with hidden Markov modeling for annotation of the progression through morphologically distinct biological states is developed, enabling live-cell imaging–based screening with assays that directly score cellular dynamics.
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Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map
TL;DR: A new method to automatically segment nuclei from Haematoxylin and Eosin stained histopathology data with fully convolutional networks is described and superior performance is demonstrated as compared to other approaches using Convolutional Neural Networks.