KI in der medizinischen Bild- und Signalverarbeitung

Seite 3 von 7.

1. Jan Ehrhardt; Heinz Handels

   Implicitly Solved Regularization for Learning-Based Image Registration

   In: Xiaohuan Cao; Xuanang Xu; Islem Rekik; Zhiming Cui; Xi Ouyang (Hrsg.). Machine Learning in Medical Imaging. International Workshop on Machine Learning in Medical Imaging (MLMI-2023), located at International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), October 8, Vancouver, Canada, Pages 137-146, Lecture Notes in Computer Science (LNCS), Vol. 14348, ISBN 978-3-031-45673-2, Springer Nature Switzerland, 2024.

2. Marja Fleitmann; Hristina Uzunova; René Pallenberg; Andreas M Stroth; Jan Gerlach; Alexander Fürschke; Jörg Barkhausen; Arpad Bischof; Heinz Handels

   Artificial Intelligence-Based Prediction of Contrast Medium Doses for Computed Tomography Angiography Using Optimized Clinical Parameter Sets

   In: Methods of Information in Medicine, Vol. 63, Pages 1-10, Georg Thieme Verlag KG, Stuttgart, 2024.

3. Joshua Niemeijer; Jan Ehrhardt; Hristina Uzunova; Heinz Handels

   TSynD: Targeted Synthetic Data Generation for Enhanced Medical Image Classification

   In: ArXiv e-prints (arxiv), Vol. 0, Pages 1-10, arXiv, 2024.

4. Amelie Scharf; Claus von der Burchard; Ayse Tatli; Monty Santarossa; Julia Andresen; Reinhard Koch; Heinz Handels; Timo Kepp; Johann Roider

   Linking AI-based biomarker analysis to visual acuity changes in central serous chorioretinopathy (CSCR)

   In: Investigative Ophthalmology & Visual Science (IOVS), Vol. 65, No. 7, Pages 6192-6192, The Association for Research in Vision and Ophthalmology, 2024.

5. Julia Andresen; Jan Ehrhardt; Claus von der Burchard; Ayse Tatli; Johann Roider; Heinz Handels; Hristina Uzunova

   FluidRegNet: Longitudinal registration of retinal OCT images with new pathological fluids

   In: Proceedings of the 2024 Medical Imaging with Deep Learning Conference. Medical Imaging with Deep Learning (MIDL-2024), July 3-5, Paris, France, MIDL Foundation, 2024.

6. Christiane Rudolph; Sebastian Germer; Alice Nennecke; Henrik Kusche; Louisa Labohm; Natalie Rath; Katharina Rausch; Bernd Holleczek; Heinz Handels; Alexander Katalinic

   Künstliche Intelligenz (KI) in der Krebsregistrierung: Methoden, Herausforderungen und erste Ergebnisse des AI-Care-Datensatzes

   Jahrestagung der Deutschen Gesellschaft für Epidemiologie (DGEpi) 2024, German Medical Science GMS Publishing House, 2024.

7. Sofija Engelson; Jan Ehrhardt; Timo Kepp; Joshua Niemeijer; Stefanie Schierholz; Lennart Berkel; Malte Maria Yannic Sieren Elser; Heinz Handels

   Comparison of Anatomical Priors for Learning-based Neural Network Guidance for Mediastinal Lymph Node Segmentation

   In: Weijie Chen; Susan M. Astley (Hrsg.). Medical Imaging 2024: Computer-Aided Diagnosis. SPIE Medical Imaging (SPIE-2024), San Diego, USA, USA, Vol. 12927, SPIE, 2024.

8. Fabrice Katzberg; Marco Maass; Alfred Mertins

   Doppler frequency analysis for sound-field sampling with moving microphones

   In: Frontiers in Signal Processing, Vol. 4, Pages 1-1, Frontiers Media SA, 2024.

9. Nele Brügge; Gesine Marie Sallandt; Ronja Schappert; Frédéric Li; Alina Siekmann; Marcin Grzegorzek; Tobias Bäumer; Christian Frings; Christian Beste; Roland Stenger; Veit Roessner; Sebastian Fudickar; Heinz Handels; Alexander Münchau

   Automated Motor Tic Detection: A Machine Learning Approach

   In: Movement Disorders, John Wiley & Sons (Wiley), 5/2023.

10. Timo Kepp; Julia Andresen; Claus von der Burchard; Johann Roider; Gereon Hüttmann; Heinz Handels

    Shape-based Segmentation of Retinal Layers and Fluids in OCT Image Data

    In: Computer Aided Diagnosis. SPIE Medical Imaging (SPIE-2023), February 19-23, San Diego, Kalifornien, USA, SPIE, 2023.

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