World's Best Scientists 2026 revealed!

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Computer Science

D-Index
55
Citations
14212
World Ranking
4256
National Ranking
186

Overview

Lena Maier-Hein is affiliated with the German Cancer Research Center in Germany. Their research spans across multiple disciplines, primarily within Medicine and Engineering, with a significant focus on the application of advanced computational techniques in healthcare.

The main fields of study covered by their work include Medicine with 217 publications and Engineering with 90 publications. More specifically, their subfields of study emphasize Radiology, Nuclear Medicine and Imaging (90 publications), Biomedical Engineering (70 publications), Surgery (35 publications), Computer Vision and Pattern Recognition (34 publications), and Health Informatics (34 publications).

Their research topics cover:

  • Artificial Intelligence in Healthcare and Education
  • Optical Imaging and Spectroscopy Techniques
  • Photoacoustic and Ultrasonic Imaging
  • Radiomics and Machine Learning in Medical Imaging
  • Surgical Simulation and Training
  • Infrared Thermography in Medicine
  • Anatomy and Medical Technology

Among frequently published venues for their work are:

  • arXiv (Cornell University) with 37 publications
  • International Journal of Computer Assisted Radiology and Surgery with 12 publications
  • Medical Image Analysis with 11 publications
  • Scientific Reports with 7 publications
  • bioRxiv (Cold Spring Harbor Laboratory) with 5 publications

Frequent co-authors collaborating on multiple publications include:

  • Annika Reinke (39 joint publications)
  • Minu D. Tizabi (37 joint publications)
  • Felix Nickel (36 joint publications)
  • Beat P. Müller-Stich (35 joint publications)
  • Silvia Seidlitz (30 joint publications)

Recent notable papers by Lena Maier-Hein encompass:

  • The Medical Segmentation Decathlon, 2022, published in Nature Communications
  • TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods, 2024, published in BMJ
  • MONAI: An open-source framework for deep learning in healthcare, 2022, published on arXiv (Cornell University)
  • CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII, 2023, published in Insights into Imaging
  • Metrics reloaded: recommendations for image analysis validation, 2024, published in Nature Methods

Best Publications

  • The Medical Segmentation Decathlon

    Michela Antonelli;Annika Reinke;Spyridon Bakas;Keyvan Farahani

  • A large annotated medical image dataset for the development and evaluation of segmentation algorithms

    Amber L. Simpson;Michela Antonelli;Spyridon Bakas;Michel Bilello

  • Electromagnetic tracking in medicine--a review of technology, validation, and applications.

    Alfred M. Franz;Tamás Haidegger;Wolfgang Birkfellner;Kevin Cleary

  • The Medical Imaging Interaction Toolkit: challenges and advances : 10 years of open-source development.

    Marco Nolden;Sascha Zelzer;Alexander Seitel;Diana Wald

  • Surgical data science for next-generation interventions.

    Lena Maier-Hein;Swaroop S. Vedula;Stefanie Speidel;Nassir Navab;Nassir Navab

  • Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge

    Jorge Bernal;Nima Tajkbaksh;Francisco Javier Sanchez;Bogdan J. Matuszewski

  • Deep learning for biomedical photoacoustic imaging: A review.

    Janek Gröhl;Janek Gröhl;Melanie Schellenberg;Kris Dreher;Kris Dreher;Lena Maier-Hein;Lena Maier-Hein

  • Why rankings of biomedical image analysis competitions should be interpreted with care

    Lena Maier-Hein;Matthias Eisenmann;Annika Reinke;Sinan Onogur

  • Optical techniques for 3D surface reconstruction in computer-assisted laparoscopic surgery.

    Lena Maier-Hein;Peter Mountney;Adrien Bartoli;Haytham Elhawary

  • Surgical Data Science - from Concepts toward Clinical Translation

    Lena Maier-Hein;Lena Maier-Hein;Matthias Eisenmann;Duygu Sarikaya;Duygu Sarikaya;Keno März

  • Analyzing Inverse Problems with Invertible Neural Networks

    Lynton Ardizzone;Jakob Kruse;Sebastian J. Wirkert;Daniel Rahner

  • Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support : 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings

    Danail Stoyanov;Zeike Taylor;Gustavo Carneiro;Tanveer Syeda-Mahmood

  • Surgical data science: Enabling next-generation surgery

    Lena Maier-Hein;S. Swaroop Vedula;Stefanie Speidel;Nassir Navab;Nassir Navab

  • Session independent non-audible speech recognition using surface electromyography

    L. Maier-Hein;F. Metze;T. Schultz;A. Waibel

  • Exploiting the potential of unlabeled endoscopic video data with self-supervised learning

    Tobias Ross;David Zimmerer;Anant Vemuri;Fabian Isensee

  • Surgical spectral imaging

    Neil T. Clancy;Geoffrey Jones;Lena Maier-Hein;Daniel S. Elson

  • Convergent Iterative Closest-Point Algorithm to Accomodate Anisotropic and Inhomogenous Localization Error

    L. Maier-Hein;A. M. Franz;T. R. dos Santos;M. Schmidt

  • Comparative validation of single-shot optical techniques for laparoscopic 3-D surface reconstruction.

    L. Maier-Hein;A. Groch;A. Bartoli;S. Bodenstedt

  • Indocyanine green fluorescence imaging in hepatobiliary surgery

    Ali Majlesara;Mohammad Golriz;Mohammadreza Hafezi;Arash Saffari

  • BIAS: Transparent reporting of biomedical image analysis challenges.

    Lena Maier-Hein;Annika Reinke;Michal Kozubek;Anne L. Martel

  • 2018 Robotic Scene Segmentation Challenge

    Max Allan;Satoshi Kondo;Sebastian Bodenstedt;Stefan Leger

  • 2017 Robotic Instrument Segmentation Challenge.

    Max Allan;Alexey Shvets;Thomas Kurmann;Zichen Zhang

  • Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017

    Maxime Descoteaux;Lena Maier-Hein;Alfred Franz;Pierre Jannin

  • Stereo Correspondence and Reconstruction of Endoscopic Data Challenge

    Max Allan;A. Jonathan McLeod;Cong Cong Wang;Jean-Claude Rosenthal

Frequent Co-Authors

Hans-Peter Meinzer
Hans-Peter Meinzer German Cancer Research Center
Stefanie Speidel
Stefanie Speidel National Center for Tumor Diseases
Danail Stoyanov
Danail Stoyanov University College London
Klaus H. Maier-Hein
Klaus H. Maier-Hein German Cancer Research Center
Pierre Jannin
Pierre Jannin University of Rennes
Bennett A. Landman
Bennett A. Landman Vanderbilt University
Joachim Hornegger
Joachim Hornegger University of Erlangen-Nuremberg
Michael Muller
Michael Muller IBM (United States)
Bram van Ginneken
Bram van Ginneken Radboud University
Nassir Navab
Nassir Navab Technical University of Munich

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