BVM 2018

Veranstalter

Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU),
Pattern Recognition Lab


Tagungsvorsitz
Prof. Dr.-Ing. habil. Andreas Maier,
Lehrstuhl und Labor für Mustererkennung,
Erlangen-Nürnberg (FAU)

Dr. Stefanie Demirci
Technische Universität München

Dr. Tobias Heimann
Siemens Healthcare GmbH, Erlangen

Lokales BVM-Komitee
Prof. Dr.-Ing Andreas Maier, Christoph Luckner, Siming Bayer, Weilin Fu, u.v.m.


Preisträger

BVM Award CHILI: Mathias Unberath (FAU Erlangen-Nürnberg) und Andre Mastmeyer (Institut für Medizinische Informatik, Universität zu Lübeck)

Beste wissenschaftliche Arbeiten:

  1. Maximilian Blendowski (Institut für Medizinische Informatik, Universität zu Lübeck)
    Blendowski M, Heinrich MP: 3D-CNNs for Deep Binary Descriptor Learning in Medical Volume Data
  2. Hristina Uzunova (Institut für Medizinische Informatik, Universität zu Lübeck)
    Uzunova H, Handels H, Ehrhardt J: Unsupervised Pathology Detection in Medical Images using Learning-based Methods
  3. Maike Stöve (FAU Erlangen-Nürnberg)
    Stoeve M, Aubreville M, Oetter N, Knipfer C, Neumann H, Stelzle F, Maier A: Motion Artifact Detection in Confocal Laser Endomicroscopy Images

Beste Präsentation: Weilin Fu (FAU Erlangen-Nürnberg)
Fu W, Breininger K, Schaffert R, Ravikumar N, Würfl T, Fujimoto J, Moult E, Maier A: Frangi-Net

Bestes Poster: André Klein (DKFZ)
Klein A, Warszawski J, Hillengaß J, Maier-Hein KH: Towards Whole-body CT Bone Segmentation


Keynotes

Prof. Dr. Jan Baumbach, Chair of Experimental Bioinformatics, Technical University of Munich, Germany
Systems Medicine - The next generation of computer-assisted precision medicine

Prof. Dr. Philippe C. Cattin, Department of Biomedical Engineering, University of Basel, Switzerland
Reinventing Bone Surgery: From Planning to Execution of a Hard-Tissue Cut

Alejandro Frangi, PhD, IEEE Fellow, Professor of Biomedical Image Computing, CISTIB Centre for Computational Imaging & Simulation Technologies in Biomedicine, The University of Sheffield, UK
Precision imaging: from population imaging analytics to in silico clinical trials

Dr. Zeike Taylor, CISTIB Centre for Computational Imaging and Simulation Technologies in Biomedicine, The University of Sheffield
From mechanistic to data-driven models for surgical planning, guidance and simulation


Clinical Track

Prof. Dr. rer. nat. Christoph Bert,
Uniklinikum Erlangen

Prof. Dr. med. Arnd Dörfler,
Universitätsklinikum Erlangen

Prof. Dr. Robert Klopfleisch,
Freie Universität Berlin

Programmheft hier erhältlich, sowie das damalige CfP.


Fotos

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