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Joachim M. Buhmann

Joachim M. Buhmann

Award Badge
Computer Science
Switzerland
2025

D-Index & Metrics

Computer Science

D-Index
82
Citations
24661
World Ranking
973
National Ranking
23

Research.com Recognitions

  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award
  • 2020 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to pattern recognition and statistical machine learning theory

Overview

Joachim M. Buhmann is affiliated with ETH Zurich in Switzerland. Their research spans a multidisciplinary intersection of computer science and medicine, with significant contributions to artificial intelligence and medical imaging.

The primary fields of study include computer science, with 55 publications, and medicine, totaling 44 publications. Within these disciplines, key subfields addressed are:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Radiology, Nuclear Medicine and Imaging
  • Cardiology and Cardiovascular Medicine
  • Radiation

Buhmann's research topics cover a variety of areas such as:

  • Medical Imaging Techniques and Applications
  • Medical Image Segmentation Techniques
  • Advanced Radiotherapy Techniques
  • Advanced Neural Network Applications
  • Complexity and Algorithms in Graphs
  • Cardiac Imaging and Diagnostics
  • Sleep and Wakefulness Research

Recent publications by Buhmann include:

  • "Assessment of Artificial Intelligence in Echocardiography Diagnostics in Differentiating Takotsubo Syndrome From Myocardial Infarction" (2022), published in JAMA Cardiology
  • "Rapid and reversible control of human metabolism by individual sleep states" (2021), published in Cell Reports
  • "Entrack: Probabilistic Spherical Regression with Entropy Regularization for Fiber Tractography" (2020), published in International Journal of Computer Vision
  • "Improving 1-year mortality prediction in ACS patients using machine learning" (2021), published in European Heart Journal Acute Cardiovascular Care
  • "Weakly supervised inference of personalized heart meshes based on echocardiography videos" (2022), published in Medical Image Analysis

Frequent publication venues where Buhmann's work appears include:

  • arXiv (Cornell University)
  • Radiotherapy and Oncology
  • European Heart Journal Acute Cardiovascular Care
  • Medical Image Analysis
  • International Journal of Computer Assisted Radiology and Surgery

Buhmann collaborates regularly with multiple researchers, among the frequent co-authors are:

  • Ye Zhang
  • Xia Li
  • Antony Lomax
  • Fabian Laumer
  • Luca Corinzia

In recognition of their contributions to the fields of pattern recognition and statistical machine learning theory, Joachim M. Buhmann was named a Fellow of the International Association for Pattern Recognition (IAPR) in 2020.

Best Publications

  • Distortion invariant object recognition in the dynamic link architecture

    M. Lades;J.C. Vorbruggen;J. Buhmann;J. Lange

  • The Balanced Accuracy and Its Posterior Distribution

    Kay Henning Brodersen;Cheng Soon Ong;Klaas Enno Stephan;Joachim M. Buhmann

  • Stability-based validation of clustering solutions

    Tilman Lange;Volker Roth;Mikio L. Braun;Joachim M. Buhmann

  • Pairwise data clustering by deterministic annealing

    T. Hofmann;J.M. Buhmann

  • Empirical evaluation of dissimilarity measures for color and texture

    J. Puzicha;J.M. Buhmann;Y. Rubner;C. Tomasi

  • Empirical Evaluation of Dissimilarity Measures for Color and Texture

    Yossi Rubner;Jan Puzicha;Carlo Tomasi;Joachim M Buhmann

  • Glaucoma detection using entropy sampling and ensemble learning for automatic optic cup and disc segmentation.

    Julian G. Zilly;Joachim M. Buhmann;Dwarikanath Mahapatra

  • Protein Identification False Discovery Rates for Very Large Proteomics Data Sets Generated by Tandem Mass Spectrometry

    Lukas Reiter;Manfred Claassen;Sabine P. Schrimpf;Marko Jovanovic

  • Crowdsourcing the creation of image segmentation algorithms for connectomics

    Ignacio Arganda-Carreras;Srinivas C. Turaga;Daniel R. Berger;Dan Cireşan

  • Non-parametric similarity measures for unsupervised texture segmentation and image retrieval

    J. Puzicha;T. Hofmann;J.M. Buhmann

  • Topology free hidden Markov models: application to background modeling

    B. Stenger;V. Ramesh;N. Paragios;F. Coetzee

  • Unsupervised texture segmentation in a deterministic annealing framework

    T. Hofmann;J. Puzicha;J.M. Buhmann

  • Sensory segmentation with coupled neural oscillators

    Christoph Malsburg;Joachim Buhmann

  • Path-based clustering for grouping of smooth curves and texture segmentation

    B. Fischer;J.M. Buhmann

  • Computational pathology: challenges and promises for tissue analysis.

    Thomas J. Fuchs;Joachim M. Buhmann

  • The Mobile Robot Rhino

    J. Buhmann;W. Burgard;A. B. Cremers;D. Fox

  • Bagging for path-based clustering

    B. Fischer;J.M. Buhmann

  • Pattern segmentation in associative memory

    DeLiang Wang;Joachim Buhmann;Christoph von der Malsburg

  • TI-POOLING: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks

    Dmitry Laptev;Nikolay Savinov;Joachim M. Buhmann;Marc Pollefeys

  • Optimal cluster preserving embedding of nonmetric proximity data

    V. Roth;J. Laub;M. Kawanabe;J.M. Buhmann

  • Computer Vision (ICCV), 2011 IEEE International Conference on

    Alexander Vezhnevets;Vittorio Ferrari;J.M. Buhmann

  • Probabilistic image registration and anomaly detection by nonlinear warping

    V. Kaynig;B. Fischer;J.M. Buhmann

Frequent Co-Authors

Dwarikanath Mahapatra
Dwarikanath Mahapatra Khalifa University
Volker Roth
Volker Roth University of Basel
Thomas Hofmann
Thomas Hofmann ETH Zurich
Klaas E. Stephan
Klaas E. Stephan University of Zurich
Andreas Krause
Andreas Krause ETH Zurich
Björn Ommer
Björn Ommer Ludwig-Maximilians-Universität München
Peter Widmayer
Peter Widmayer ETH Zurich
David Basin
David Basin ETH Zurich

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