Maxime Lafarge

University of Basel

Switzerland

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Articles (10)

Year:

2024

Year:

2024

Year:

2024

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2024

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2024

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2023

Year:

2023

Year:

2023

Year:

2021

Year:

2020

Collaborators (12)

Emma M. Kerr

UNITED KINGDOM

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Nanda Horeweg

Assistant Professor

Leiden University Medical Center

NETHERLANDS

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Bangchen Wang

Assistant Professor

Duke University Medical Center

UNITED STATES

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salar razavi

Ryerson University

CANADA

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Jinah Park

Korea Advanced Institute of Science and Technology

SOUTH KOREA

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Marc Aubreville

Professor

Technische Hochschule Ingolstadt

GERMANY

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Daniele V. F. Tauriello

NETHERLANDS

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Leslie Samuel

University of Aberdeen

UNITED KINGDOM

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Timothy Stanley Maughan

Professor of Clinical Oncology, CRUK/MRC Oxford Institute for Radiation Oncology

University of Oxford

UNITED KINGDOM

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Natalie ter Hoeve

UMC Utrecht

NETHERLANDS

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David Sebag-Montefiore

Professor of Clinical Oncology and Health Research

University of Leeds

UNITED KINGDOM

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Marco Viviani

Candiolo Cancer Institute

ITALY

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Maxime Lafarge

Research Interests

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Articles (10)

Pathway level subtyping identifies a slow-cycling biological phenotype associated with poor clinical outcomes in colorectal cancer

Domain generalization across tumor types, laboratories, and species — Insights from the 2022 edition of the Mitosis Domain Generalization Challenge

Prediction of recurrence risk in endometrial cancer with multimodal deep learning.

Image-based consensus molecular subtyping in rectal cancer biopsies and response to neoadjuvant chemoradiotherapy

CohortFinder: an open-source tool for data-driven partitioning of digital pathology and imaging cohorts to yield robust machine-learning models

Mitosis domain generalization in histopathology images — The MIDOG challenge

Transcriptomics and proteomics reveal distinct biology for lymph node metastases and tumour deposits in colorectal cancer

Deep learning supported mitoses counting on whole slide images: A pilot study for validating breast cancer grading in the clinical workflow

Roto-translation equivariant convolutional networks: Application to histopathology image analysis

Progressively Trained Convolutional Neural Networks for Deformable Image Registration

Collaborators (12)

Emma M. Kerr

Nanda Horeweg

Bangchen Wang

salar razavi

Jinah Park

Marc Aubreville

Daniele V. F. Tauriello

Leslie Samuel

Timothy Stanley Maughan

Natalie ter Hoeve

David Sebag-Montefiore

Marco Viviani

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