Search Results for author: Ivo M. Baltruschat

Found 6 papers, 1 papers with code

BraSyn 2023 challenge: Missing MRI synthesis and the effect of different learning objectives

no code implementations12 Mar 2024 Ivo M. Baltruschat, Parvaneh Janbakhshi, Matthias Lenga

This work addresses the Brain Magnetic Resonance Image Synthesis for Tumor Segmentation (BraSyn) challenge, which was hosted as part of the Brain Tumor Segmentation (BraTS) challenge in 2023.

Brain Tumor Segmentation Image-to-Image Translation +2

fRegGAN with K-space Loss Regularization for Medical Image Translation

1 code implementation28 Mar 2023 Ivo M. Baltruschat, Felix Kreis, Alexander Hoelscher, Melanie Dohmen, Matthias Lenga

Generative adversarial networks (GANs) have shown remarkable success in generating realistic images and are increasingly used in medical imaging for image-to-image translation tasks.

Image-to-Image Translation Translation

Smart Chest X-ray Worklist Prioritization using Artificial Intelligence: A Clinical Workflow Simulation

no code implementations23 Jan 2020 Ivo M. Baltruschat, Leonhard Steinmeister, Hannes Nickisch, Axel Saalbach, Michael Grass, Gerhard Adam, Tobias Knopp, Harald Ittrich

Our simulations demonstrate that smart worklist prioritization by AI can reduce the average RTAT for critical findings in CXRs while maintaining a small maximum RTAT as FIFO.

Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification

no code implementations6 Mar 2018 Ivo M. Baltruschat, Hannes Nickisch, Michael Grass, Tobias Knopp, Axel Saalbach

The increased availability of X-ray image archives (e. g. the ChestX-ray14 dataset from the NIH Clinical Center) has triggered a growing interest in deep learning techniques.

Classification General Classification +1

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