Ivo M. Baltruschat

According to our database, Ivo M. Baltruschat authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Similarity Metrics for MR Image-To-Image Translation.

Melanie Dohmen, Mark Klemens, Ivo M. Baltruschat, Tuan Truong, Matthias Lenga

CoRR, 2024

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

Ivo M. Baltruschat, Parvaneh Janbakhshi, Matthias Lenga

CoRR, 2024

Five Pitfalls When Assessing Synthetic Medical Images with Reference Metrics.

Melanie Dohmen, Tuan Truong, Ivo M. Baltruschat, Matthias Lenga

Proceedings of the Deep Generative Models - 4th MICCAI Workshop, 2024

Uncertainty Estimation in Contrast-Enhanced Mr Image Translation with Multi-Axis Fusion.

Ivo M. Baltruschat, Parvaneh Janbakhshi, Melanie Dohmen, Matthias Lenga

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge.

Aneeq Zia, Kiran Bhattacharyya, Xi Liu, Max Berniker, Ziheng Wang, Rogerio Nespolo, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Bo Liu, David Austin, Yiheng Wang, Michal Futrega, Jean-Francois Puget, Zhenqiang Li, Yoichi Sato, Ryo Fujii, Ryo Hachiuma, Mana Masuda, Hideo Saito, An Wang, Mengya Xu, Mobarakol Islam, Long Bai, Winnie Pang, Hongliang Ren, Chinedu Innocent Nwoye, Luca Sestini, Nicolas Padoy, Maximilian Nielsen, Samuel Schüttler, Thilo Sentker, Hümeyra Husseini, Ivo M. Baltruschat, Rüdiger Schmitz, René Werner, Aleksandr Matsun, Mugariya Farooq, Numan Saeed, Jose Renato Restom Viera, Mohammad Yaqub, Neil Getty, Fangfang Xia, Zixuan Zhao, Xiaotian Duan, Xing Yao, Ange Lou, Hao Yang, Jintong Han, Jack H. Noble, Jie Ying Wu, Tamer Abdulbaki Alshirbaji, Nour Aldeen Jalal, Herag Arabian, Ning Ding, Knut Moeller, Weiliang Chen, Quan He, Lena Maier-Hein, Danail Stoyanov, Stefanie Speidel, Anthony M. Jarc

CoRR, 2023

fRegGAN with K-space Loss Regularization for Medical Image Translation.

Ivo M. Baltruschat, Felix Kreis, Alexander Hoelscher, Melanie Dohmen, Matthias Lenga

CoRR, 2023

2022

Abstract: Verbesserung des 2D U-Nets für die 3D Mikrotomographie mit Synchrotronstrahlung mittels Multi-Axes Fusing.

Ivo M. Baltruschat, Hanna Cwieka, Diana Krüger, Berit Zeller-Plumhoff, Frank Schlünzen, Regine Willumeit-Römer, Julian Moosmann, Philipp Heuser

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2021

Landmark Constellation Models For Central Venous Catheter Malposition Detection.

Ilyas Sirazitdinov, Matthias Lenga, Ivo M. Baltruschat, Dmitry V. Dylov, Axel Saalbach

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Abstract: Reduktion der Kalibrierungszeit für die Magnetpartikelbildgebung mittels Deep Learning.

Ivo M. Baltruschat, Patryk Szwargulski, Florian Griese, Mirco Grosser, René Werner, Tobias Knopp

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020

Skin Lesion Classification Using CNNs With Patch-Based Attention and Diagnosis-Guided Loss Weighting.

Nils Gessert, Thilo Sentker, Frederic Madesta, Rüdiger Schmitz, Helge Kniep, Ivo M. Baltruschat, René Werner, Alexander Schlaefer

IEEE Trans. Biomed. Eng., 2020

Intelligent Chest X-ray Worklist Prioritization by CNNs: A Clinical Workflow Simulation.

Ivo M. Baltruschat, Leonhard Steinmeister, Hannes Nickisch, Axel Saalbach, Michael Grass, Gerhard Adam, Harald Ittrich, Tobias Knopp

CoRR, 2020

3d-SMRnet: Achieving a New Quality of MPI System Matrix Recovery by Deep Learning.

Ivo M. Baltruschat, Patryk Szwargulski, Florian Griese, Mirco Grosser, René Werner, Tobias Knopp

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Deep Learning for Pneumothorax Detection and Localization in Chest Radiographs.

André Gooßen, Hrishikesh Deshpande, Tim Harder, Evan Schwab, Ivo M. Baltruschat, Thusitha De Silva Mabotuwana, Nathan M. Cross, Axel Saalbach

CoRR, 2019

When Does Bone Suppression And Lung Field Segmentation Improve Chest X-Ray Disease Classification?

Ivo M. Baltruschat, Leonhard Steinmeister, Harald Ittrich, Gerhard Adam, Hannes Nickisch, Axel Saalbach, Jens von Berg, Michael Grass, Tobias Knopp

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Abstract: Does Bone Suppression and Lung Detection Improve Chest Disease Classification?

Ivo M. Baltruschat, Leonhard Steinmeister, Harald Ittrich, Gerhard Adam, Hannes Nickisch, Axel Saalbach, Jens von Berg, Michael Grass, Tobias Knopp

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

2018

Skin Lesion Diagnosis using Ensembles, Unscaled Multi-Crop Evaluation and Loss Weighting.

Nils Gessert, Thilo Sentker, Frederic Madesta, Rüdiger Schmitz, Helge Kniep, Ivo M. Baltruschat, René Werner, Alexander Schlaefer

CoRR, 2018

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

Ivo M. Baltruschat, Hannes Nickisch, Michael Grass, Tobias Knopp, Axel Saalbach

CoRR, 2018

Orientation regression in hand radiographs: a transfer learning approach.

Ivo M. Baltruschat, Axel Saalbach, Mattias P. Heinrich, Hannes Nickisch, Sascha Jockel

Proceedings of the Medical Imaging 2018: Image Processing, 2018