Martin Weigert

Martin Weigert

École Polytechnique Fédérale de Lausanne

H-index: 19

Europe-Switzerland

About Martin Weigert

Martin Weigert, With an exceptional h-index of 19 and a recent h-index of 19 (since 2020), a distinguished researcher at École Polytechnique Fédérale de Lausanne, specializes in the field of Image Analysis, Machine Learning, Microscopy, Image Segmentation, CARE/StarDist.

His recent articles reflect a diverse array of research interests and contributions to the field:

Modular segmentation, spatial analysis and visualization of volume electron microscopy datasets

CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting

Spotiflow: accurate and efficient spot detection for imaging-based spatial transcriptomics with stereographic flow regression

Self-supervised dense representation learning for live-cell microscopy with time arrow prediction

Neuronal migration prevents spatial competition in retinal morphogenesis

MarrowQuant 2.0: a digital pathology workflow assisting bone marrow evaluation in experimental and clinical hematology

CenFind: a deep-learning pipeline for efficient centriole detection in microscopy datasets

Organelle-specific segmentation, spatial analysis, and visualization of volume electron microscopy datasets

Martin Weigert Information

University

Position

Group leader at

Citations(all)

5654

Citations(since 2020)

5039

Cited By

1991

hIndex(all)

19

hIndex(since 2020)

19

i10Index(all)

20

i10Index(since 2020)

20

Email

University Profile Page

École Polytechnique Fédérale de Lausanne

Google Scholar

View Google Scholar Profile

Martin Weigert Skills & Research Interests

Image Analysis

Machine Learning

Microscopy

Image Segmentation

CARE/StarDist

Top articles of Martin Weigert

Title

Journal

Author(s)

Publication Date

Modular segmentation, spatial analysis and visualization of volume electron microscopy datasets

Andreas Müller

Deborah Schmidt

Jan Philipp Albrecht

Lucas Rieckert

Maximilian Otto

...

2024/2/29

CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting

Medical image analysis

Simon Graham

Quoc Dang Vu

Mostafa Jahanifar

Martin Weigert

Uwe Schmidt

...

2024/2/1

Spotiflow: accurate and efficient spot detection for imaging-based spatial transcriptomics with stereographic flow regression

A Herrera

I Khven

A Schlaeppi

E Kyriacou

G Tsissios

...

2024/2/5

Self-supervised dense representation learning for live-cell microscopy with time arrow prediction

Benjamin Gallusser

Max Stieber

Martin Weigert

2023/10/1

Neuronal migration prevents spatial competition in retinal morphogenesis

Nature

Mauricio Rocha-Martins

Elisa Nerli

Jenny Kretzschmar

Martin Weigert

Jaroslav Icha

...

2023/8/17

MarrowQuant 2.0: a digital pathology workflow assisting bone marrow evaluation in experimental and clinical hematology

Modern Pathology

Rita Sarkis

Olivier Burri

Claire Royer-Chardon

Frédérica Schyrr

Sophie Blum

...

2023/4/1

CenFind: a deep-learning pipeline for efficient centriole detection in microscopy datasets

BMC bioinformatics

Léo Bürgy

Martin Weigert

Georgios Hatzopoulos

Matthias Minder

Adrien Journé

...

2023/3/28

Organelle-specific segmentation, spatial analysis, and visualization of volume electron microscopy datasets

arXiv preprint arXiv:2303.03876

Andreas Müller

Deborah Schmidt

Lucas Rieckert

Michele Solimena

Martin Weigert

2023/3/7

Deep neural network automated segmentation of cellular structures in volume electron microscopy

Journal of Cell Biology

Benjamin Gallusser

Giorgio Maltese

Giuseppe Di Caprio

Tegy John Vadakkan

Anwesha Sanyal

...

2022/12/5

Event-driven acquisition for content-enriched microscopy

Nature methods

Dora Mahecic

Willi L Stepp

Chen Zhang

Juliette Griffié

Martin Weigert

...

2022/10

MarrowQuant 2.0: clinical application of a user-friendly digital hematopathology tool for human bone marrow trephine biopsies

Virchows Archiv

R Sarkis

O Burri

C Royer-Chardon

S Blum

F Schyrr

...

2022/9/1

Bioimage model zoo: a community-driven resource for accessible deep learning in bioimage analysis

BioRxiv

Wei Ouyang

Fynn Beuttenmueller

Estibaliz Gómez-de-Mariscal

Constantin Pape

Tom Burke

...

2022/6/8

Nuclei instance segmentation and classification in histopathology images with stardist

Yuhang Jia

Cheng Lu

Xue Li

Miao Ma

Zhao Pei

...

2021/12/20

Deep learning enables individual xenograft cell classification in histological images by analysis of contextual features

Journal of Mammary Gland Biology and Neoplasia

Quentin Juppet

Fabio De Martino

Elodie Marcandalli

Martin Weigert

Olivier Burri

...

2021/6

Deep learning-enhanced light-field imaging with continuous validation

Nature Methods

Nils Wagner

Fynn Beuttenmueller

Nils Norlin

Jakob Gierten

Juan Carlos Boffi

...

2021/5

Deep learning for light-field microscopy with continuous validation

Anna Kreshuk

Robert Prevedel

Fynn Beuttenmueller

Lars Hufnagel

Nils Wagner

...

2021/3/5

3D FIB-SEM reconstruction of microtubule–organelle interaction in whole primary mouse β cells

Journal of Cell Biology

Andreas Müller

Deborah Schmidt

C Shan Xu

Song Pang

Joyson Verner D’Costa

...

2021/2/1

EASI-FISH for thick tissue defines lateral hypothalamus spatio-molecular organization

Cell

Yuhan Wang

Mark Eddison

Greg Fleishman

Martin Weigert

Shengjin Xu

...

2021/12/22

Practical sensorless aberration estimation for 3D microscopy with deep learning

Optics express

Debayan Saha

Uwe Schmidt

Qinrong Zhang

Aurelien Barbotin

Qi Hu

...

2020/9/28

Removing structured noise with self-supervised blind-spot networks

Coleman Broaddus

Alexander Krull

Martin Weigert

Uwe Schmidt

Gene Myers

2020/4/3

See List of Professors in Martin Weigert University(École Polytechnique Fédérale de Lausanne)