Segmentation of Color Fundus Images of the Human Retina: Detection of the Optic Disc and the Vascular Tree Using Morphological Techniques. - Thomas Walter 003; Jean-Claude Klein (ISMDA, 2001)

Automatic Detection of Microaneurysms in Color Fundus Images of the Human Retina by Means of the Bounding Box Closing. - Thomas Walter 003; Jean-Claude Klein (ISMDA, 2002)

A Contribution of Image Processing to the Diagnosis of Diabetic Retinopathy - Detection of Exudates in Color Fundus Images of the Human Retina. - Thomas Walter 003; Jean-Claude Klein; Pascale Massin; Ali Erginay (IEEE Trans. Medical Imaging, 2002)

Automatic detection of microaneurysms in color fundus images. - Thomas Walter 003; Pascale Massin; Ali Erginay; Richard Ordonez; Clotilde Jeulin; Jean-Claude Klein (Medical Image Anal., 2007)

A genome wide RNAI screen by time lapse microscopy in order to identify mitotic genes - computational aspects and challenges. - Thomas Walter 003; Michael Held; Beate Neumann; Jean-Karim Hériché; Christian Conrad; Rainer Pepperkok; Jan Ellenberg (ISBI, 2008)

Dynamical modelling of phenotypes in a genome-wide RNAi live-cell imaging assay. - Grégoire Pau; Thomas Walter 003; Beate Neumann; Jean-Karim Hériché; Jan Ellenberg; Wolfgang Huber (BMC Bioinform., 2013)

Waterpixels: Superpixels based on the watershed transformation. - Vaïa Machairas; Etienne Decencière; Thomas Walter 003 (ICIP, 2014)

Infering an ontology of single cell motions from high-throughput microscopy data. - Alice Schoenauer Sebag; Sandra Plancade; Céline Raulet-Tomkiewicz; Robert Barouki; Jean-Philippe Vert; Thomas Walter 003 (ISBI, 2015)

Spatial Repulsion Between Markers Improves Watershed Performance. - Vaïa Machairas; Etienne Decencière; Thomas Walter 003 (ISMM, 2015)

A generic methodological framework for studying single cell motility in high-throughput time-lapse data. - Alice Schoenauer Sebag; Sandra Plancade; Céline Raulet-Tomkiewicz; Robert Barouki; Jean-Philippe Vert; Thomas Walter 003 (Bioinform., 2015)

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 001; Anders Boesen Lindbo Larsen; Jacob S. Vestergaard; Anders B. Dahl; Dan C. Ciresan; Jürgen Schmidhuber; et al. (Medical Image Anal., 2015)

Waterpixels. - Vaïa Machairas; Matthieu Faessel; David Cárdenas-Peña; Théodore Chabardès; Thomas Walter 003; Etienne Decencière (IEEE Trans. Image Process., 2015)

New general features based on superpixels for image segmentation learning. - Vaïa Machairas; Thérèse Baldeweck; Thomas Walter 003; Etienne Decencière (ISBI, 2016)

Nuclei segmentation in histopathology images using deep neural networks. - Peter Naylor; Marick Lae; Fabien Reyal; Thomas Walter 003 (ISBI, 2017)

Analysing double-strand breaks in cultured cells for drug screening applications by causal inference. - Joseph Boyd; Alice Pinhiero; Elaine Del Nery; Fabien Reyal; Thomas Walter 003 (ISBI, 2018)

A Deep Learning Approach To Identify MRNA Localization Patterns. - Rémy Dubois; Arthur Imbert; Aubin Samacoïts; Marion Peter; Edouard Bertrand; Florian Müller 012; Thomas Walter 003 (ISBI, 2019)

Predicting Residual Cancer Burden In A Triple Negative Breast Cancer Cohort. - Peter Naylor; Joseph Boyd; Marick Laé; Fabien Reyal; Thomas Walter 003 (ISBI, 2019)

Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map. - Peter Naylor; Marick Lae; Fabien Reyal; Thomas Walter 003 (IEEE Trans. Medical Imaging, 2019)

Experimentally-Generated Ground Truth for Detecting Cell Types in an Image-Based Immunotherapy Screen. - Joseph Boyd; Zelia Gouveia; Franck Perez; Thomas Walter 003 (ISBI, 2020)

Domain-invariant features for mechanism of action prediction in a multi-cell-line drug screen. - Joseph Boyd; Alice Pinheiro; Elaine Del Nery; Fabien Reyal; Thomas Walter 003 (Bioinform., 2020)

Learning with Minimal Effort: Leveraging in Silico Labeling for Cell and Nucleus Segmentation. - Thomas Bonte; Maxence Philbert; Emeline Coleno; Edouard Bertrand; Arthur Imbert; Thomas Walter 003 (ECCV Workshops (4), 2022)

PointFISH: Learning Point Cloud Representations for RNA Localization Patterns. - Arthur Imbert; Florian Müller 012; Thomas Walter 003 (ECCV Workshops (4), 2022)

Automatic Grading of Cervical Biopsies by Combining Full and Self-supervision. - Mélanie Lubrano; Tristan Lazard; Guillaume Balezo; Yaëlle Bellahsen-Harrar; Cécile Badoual; Sylvain Berlemont; Thomas Walter 003 (ECCV Workshops (7), 2022)

Segmentation of Nuclei in Histopathology Images by deep regression of the distance map. - Peter Naylor; Marick Laé; Fabien Reyal; Thomas Walter 003 (IEEE DataPort, 2022)

Giga-SSL: Self-Supervised Learning for Gigapixel Images. - Tristan Lazard; Marvin Lerousseau; Etienne Decencière; Thomas Walter 003 (CVPR Workshops, 2023)

Simple and Efficient Confidence Score for Grading Whole Slide Images. - Mélanie Lubrano; Yaëlle Bellahsen-Harrar; Rutger R. H. Fick; Cécile Badoual; Thomas Walter 003 (MIDL, 2023)

Simple and Efficient Confidence Score for Grading Whole Slide Images. - Mélanie Lubrano; Yaëlle Bellahsen-Harrar; Rutger Fick; Cécile Badoual; Thomas Walter 003 (CoRR, 2023)

Interpretable Embeddings for Segmentation-Free Single-Cell Analysis in Multiplex Imaging. - Simon Gutwein; Daria Lazic; Thomas Walter 003; Sabine Taschner-Mandl; Roxane Licandro (CoRR, 2024)

MIPHEI-ViT: Multiplex Immunofluorescence Prediction from H&E Images using ViT Foundation Models. - Guillaume Balezo; Roger Trullo; Albert Pla Planas; Etienne Decencière; Thomas Walter 003 (CoRR, 2025)