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ORCIDIvo M. Baltruschat
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2020 – today
- 2024
[c9]Ivo M. Baltruschat, Parvaneh Janbakhshi, Melanie Dohmen, Matthias Lenga:
Uncertainty Estimation in Contrast-Enhanced Mr Image Translation with Multi-Axis Fusion. ISBI 2024: 1-5- [c8]Melanie Dohmen, Tuan Truong, Ivo M. Baltruschat, Matthias Lenga:
Five Pitfalls When Assessing Synthetic Medical Images with Reference Metrics. DGM4MICCAI@MICCAI 2024: 150-159 - [i13]Ivo M. Baltruschat, Parvaneh Janbakhshi, Matthias Lenga:
BraSyn 2023 challenge: Missing MRI synthesis and the effect of different learning objectives. CoRR abs/2403.07800 (2024) - [i12]Melanie Dohmen, Mark Klemens, Ivo M. Baltruschat, Tuan Truong, Matthias Lenga:
Similarity Metrics for MR Image-To-Image Translation. CoRR abs/2405.08431 (2024) - [i11]Melanie Dohmen, Tuan Truong, Ivo M. Baltruschat, Matthias Lenga:
Five Pitfalls When Assessing Synthetic Medical Images with Reference Metrics. CoRR abs/2408.06075 (2024) - 2023
- [i10]Ivo M. Baltruschat, Felix Kreis, Alexander Hoelscher, Melanie Dohmen, Matthias Lenga:
fRegGAN with K-space Loss Regularization for Medical Image Translation. CoRR abs/2303.15938 (2023) - [i9]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:
Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge. CoRR abs/2305.07152 (2023) - [i8]Ivo M. Baltruschat, Parvaneh Janbakhshi, Melanie Dohmen, Matthias Lenga:
Uncertainty Estimation in Contrast-Enhanced MR Image Translation with Multi-Axis Fusion. CoRR abs/2311.12153 (2023) - 2022
- [c7]Ivo M. Baltruschat, Hanna Cwieka, Diana Krüger, Berit Zeller-Plumhoff, Frank Schlünzen, Regine Willumeit-Römer, Julian Moosmann, Philipp Heuser:
Abstract: Verbesserung des 2D U-Nets für die 3D Mikrotomographie mit Synchrotronstrahlung mittels Multi-Axes Fusing. Bildverarbeitung für die Medizin 2022: 128 - 2021
- [c6]Ivo M. Baltruschat, Patryk Szwargulski, Florian Griese, Mirco Grosser, René Werner, Tobias Knopp:
Abstract: Reduktion der Kalibrierungszeit für die Magnetpartikelbildgebung mittels Deep Learning. Bildverarbeitung für die Medizin 2021: 337 - [c5]Ilyas Sirazitdinov, Matthias Lenga, Ivo M. Baltruschat, Dmitry V. Dylov, Axel Saalbach:
Landmark Constellation Models For Central Venous Catheter Malposition Detection. ISBI 2021: 1132-1136 - 2020
- [j1]Nils Gessert, Thilo Sentker, Frederic Madesta, Rüdiger Schmitz, Helge Kniep, Ivo M. Baltruschat, René Werner, Alexander Schlaefer:
Skin Lesion Classification Using CNNs With Patch-Based Attention and Diagnosis-Guided Loss Weighting. IEEE Trans. Biomed. Eng. 67(2): 495-503 (2020) - [c4]Ivo M. Baltruschat, Patryk Szwargulski, Florian Griese, Mirco Grosser, René Werner, Tobias Knopp:
3d-SMRnet: Achieving a New Quality of MPI System Matrix Recovery by Deep Learning. MICCAI (2) 2020: 74-82 - [i7]Ivo M. Baltruschat, Leonhard Steinmeister, Hannes Nickisch, Axel Saalbach, Michael Grass, Gerhard Adam, Harald Ittrich, Tobias Knopp:
Intelligent Chest X-ray Worklist Prioritization by CNNs: A Clinical Workflow Simulation. CoRR abs/2001.08625 (2020)
2010 – 2019
- 2019
- [c3]Ivo M. Baltruschat, Leonhard Steinmeister, Harald Ittrich, Gerhard Adam, Hannes Nickisch, Axel Saalbach, Jens von Berg, Michael Grass, Tobias Knopp:
Abstract: Does Bone Suppression and Lung Detection Improve Chest Disease Classification? Bildverarbeitung für die Medizin 2019: 184 - [c2]Ivo M. Baltruschat, Leonhard Steinmeister, Harald Ittrich, Gerhard Adam, Hannes Nickisch, Axel Saalbach, Jens von Berg, Michael Grass, Tobias Knopp:
When Does Bone Suppression And Lung Field Segmentation Improve Chest X-Ray Disease Classification? ISBI 2019: 1362-1366 - [i6]Nils Gessert, Thilo Sentker, Frederic Madesta, Rüdiger Schmitz, Helge Kniep, Ivo M. Baltruschat, René Werner, Alexander Schlaefer:
Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting. CoRR abs/1905.02793 (2019) - [i5]Ivo Matteo Baltruschat, Patryk Szwargulski, Florian Griese, Mirco Grosser, René Werner, Tobias Knopp:
3d-SMRnet: Achieving a new quality of MPI system matrix recovery by deep learning. CoRR abs/1905.03026 (2019) - [i4]André Gooßen, Hrishikesh Deshpande, Tim Harder, Evan Schwab, Ivo M. Baltruschat, Thusitha De Silva Mabotuwana, Nathan M. Cross, Axel Saalbach:
Deep Learning for Pneumothorax Detection and Localization in Chest Radiographs. CoRR abs/1907.07324 (2019) - 2018
- [c1]Ivo M. Baltruschat, Axel Saalbach, Mattias P. Heinrich, Hannes Nickisch, Sascha Jockel:
Orientation regression in hand radiographs: a transfer learning approach. Medical Imaging: Image Processing 2018: 105741W - [i3]Ivo M. Baltruschat, Hannes Nickisch, Michael Grass, Tobias Knopp, Axel Saalbach:
Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification. CoRR abs/1803.02315 (2018) - [i2]Nils Gessert, Thilo Sentker, Frederic Madesta, Rüdiger Schmitz, Helge Kniep, Ivo M. Baltruschat, René Werner, Alexander Schlaefer:
Skin Lesion Diagnosis using Ensembles, Unscaled Multi-Crop Evaluation and Loss Weighting. CoRR abs/1808.01694 (2018) - [i1]Ivo M. Baltruschat, Leonhard Steinmeister, Harald Ittrich, Gerhard Adam, Hannes Nickisch, Axel Saalbach, Jens von Berg, Michael Grass, Tobias Knopp:
When does Bone Suppression and Lung Field Segmentation Improve Chest X-Ray Disease Classification? CoRR abs/1810.07500 (2018)
Coauthor Index
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