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Computer Science

D-Index
36
Citations
7855
World Ranking
11054
National Ranking
551

Overview

Heinz Handels is affiliated with the University of Lübeck in Germany and has research outputs spanning medicine, computer science, and engineering. Their work prominently addresses the intersection of medical imaging and computational approaches.

Heinz Handels' main fields of study include:

  • Medicine
  • Computer Science
  • Engineering

They have contributed extensively to subfields such as:

  • Radiology, Nuclear Medicine and Imaging
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Biomedical Engineering
  • Pulmonary and Respiratory Medicine

The primary research topics covered in their publications include:

  • AI in cancer detection
  • Retinal Imaging and Analysis
  • Radiomics and Machine Learning in Medical Imaging
  • Optical Coherence Tomography Applications
  • Medical Image Segmentation Techniques
  • Lung Cancer Diagnosis and Treatment
  • Cell Image Analysis Techniques

Recent papers authored or co-authored by Heinz Handels include:

  • Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis (2020), published in Scientific Reports
  • Automated Motor Tic Detection: A Machine Learning Approach (2023), published in Movement Disorders
  • Differentiation of different stages of brain tumor infiltration using optical coherence tomography: Comparison of two systems and histology (2022), published in Frontiers in Oncology
  • Deep learning-based simultaneous registration and unsupervised non-correspondence segmentation of medical images with pathologies (2022), published in International Journal of Computer Assisted Radiology and Surgery
  • A systematic comparison of generative models for medical images (2022), published in International Journal of Computer Assisted Radiology and Surgery

They frequently publish with the following co-authors:

  • Jan Ehrhardt
  • Hristina Uzunova
  • Timo Kepp
  • Julia Andresen
  • Claus von der Burchard

Heinz Handels' research appears regularly in venues such as:

  • arXiv (Cornell University)
  • International Journal of Computer Assisted Radiology and Surgery
  • Studies in health technology and informatics
  • The Journal of Machine Learning for Biomedical Imaging
  • SSRN Electronic Journal

In addition to journal articles, Heinz Handels has contributed to book publications with Springer Nature. These include multiple volumes titled Bildverarbeitung für die Medizin published between 2020 and 2024.

Best Publications

  • IMAGE PROCESSING WITH NEURAL NETWORKS–A REVIEW

    Michael Egmont-Petersen;Dick de Ridder;Heinz Handels

  • ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI

    Oskar Maier;Bjoern H. Menze;Janina von der Gablentz;Levin Häni

  • Longitudinal multiple sclerosis lesion segmentation: Resource and challenge.

    Aaron Carass;Snehashis Roy;Amod Jog;Jennifer L. Cuzzocreo

  • Extra tree forests for sub-acute ischemic stroke lesion segmentation in MR sequences.

    Oskar Maier;Matthias Wilms;Janina von der Gablentz;Ulrike M. Krämer

  • An optical flow based method for improved reconstruction of 4D CT data sets acquired during free breathing

    Jan Ehrhardt;René Werner;Dennis Säring;Thorsten Frenzel

  • Statistical Modeling of 4D Respiratory Lung Motion Using Diffeomorphic Image Registration

    Jan Ehrhardt;René Werner;Alexander Schmidt-Richberg;Heinz Handels

  • Patient-specific finite element modeling of respiratory lung motion using 4D CT image data.

    René Werner;Jan Ehrhardt;Rainer Schmidt;Heinz Handels

  • Feature selection for optimized skin tumor recognition using genetic algorithms

    Heinz Handels;Thomas Roß;Jürgen Kreusch;Helmut H. Wolff

  • Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis

    Aaron Carass;Snehashis Roy;Adrian Gherman;Jacob C. Reinhold

  • Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study

    Oskar Maier;Christoph Schröder;Nils Daniel Forkert;Thomas Martinetz

  • Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration

    Jan Ruhaak;Thomas Polzin;Stefan Heldmann;Ivor J. A. Simpson

  • Estimation of slipping organ motion by registration with direction-dependent regularization

    Alexander Schmidt-Richberg;René Werner;Heinz Handels;Jan Ehrhardt

  • Training CNNs for Image Registration from Few Samples with Model-based Data Augmentation

    Hristina Uzunova;Matthias Wilms;Heinz Handels;Jan Ehrhardt

  • Virtual reality simulator for the training of lumbar punctures.

    Matthias Färber;F Hummel;C Gerloff;H Handels

  • Three-dimensional planning and simulation of hip operations and computer-assisted construction of endoprostheses in bone tumor surgery †

    Handels H;Ehrhardt J;Plötz W;Pöppl Sj

  • Memory-efficient GAN-based domain translation of high resolution 3D medical images.

    Hristina Uzunova;Jan Ehrhardt;Heinz Handels

  • Unsupervised pathology detection in medical images using conditional variational autoencoders

    Hristina Uzunova;Sandra Schultz;Heinz Handels;Jan Ehrhardt

  • 3D cerebrovascular segmentation combining fuzzy vessel enhancement and level-sets with anisotropic energy weights.

    Nils Daniel Forkert;Alexander Schmidt-Richberg;Jens Fiehler;Till Illies

  • Generation of a statistical shape model with probabilistic point correspondences and the expectation maximization- iterative closest point algorithm

    Heike Hufnagel;Heike Hufnagel;Xavier Pennec;Jan Ehrhardt;Nicholas Ayache

  • Atlas-based segmentation of bone structures to support the virtual planning of hip operations

    Jan Ehrhardt;Heinz Handels;Thomas Malina;Bernd Strathmann

  • A Novel Nonrigid Registration Algorithm and Applications

    Jan Rexilius;Simon K. Warfield;Charles R. G. Guttmann;X. Wei

Frequent Co-Authors

Hans-Peter Meinzer
Hans-Peter Meinzer German Cancer Research Center
Mattias P. Heinrich
Mattias P. Heinrich University of Lübeck
Xavier Pennec
Xavier Pennec French Institute for Research in Computer Science and Automation - INRIA
Nicholas Ayache
Nicholas Ayache French Institute for Research in Computer Science and Automation - INRIA
Simon K. Warfield
Simon K. Warfield Boston Children's Hospital
Klaus H. Maier-Hein
Klaus H. Maier-Hein German Cancer Research Center
Andreas Maier
Andreas Maier University of Erlangen-Nuremberg
Ulrike M. Krämer
Ulrike M. Krämer University of Lübeck
Friedhelm C. Hummel
Friedhelm C. Hummel École Polytechnique Fédérale de Lausanne
Thorsten M. Buzug
Thorsten M. Buzug University of Lübeck

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