Ivo M. Baltruschat

24 papers B 1Journal 14Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Exploring AI-based System Design for Pixel-level Protected Health Information Detection in Medical Images. CoRR Tuan Truong, Ivo M. Baltruschat, Mark Klemens, Grit Werner, Matthias Lenga
2024	J	`jnl`	BraSyn 2023 challenge: Missing MRI synthesis and the effect of different learning objectives. CoRR Ivo M. Baltruschat, Parvaneh Janbakhshi, Matthias Lenga
2024	—	`conf`	Five Pitfalls When Assessing Synthetic Medical Images with Reference Metrics. DGM4MICCAI@MICCAI Melanie Dohmen, Tuan Truong, Ivo M. Baltruschat, Matthias Lenga
2024	J	`jnl`	Five Pitfalls When Assessing Synthetic Medical Images with Reference Metrics. CoRR Melanie Dohmen, Tuan Truong, Ivo M. Baltruschat, Matthias Lenga
2024	J	`jnl`	Similarity Metrics for MR Image-To-Image Translation. CoRR Melanie Dohmen, Mark Klemens, Ivo M. Baltruschat, Tuan Truong, Matthias Lenga
2024	—	`conf`	Uncertainty Estimation in Contrast-Enhanced Mr Image Translation with Multi-Axis Fusion. ISBI Ivo M. Baltruschat, Parvaneh Janbakhshi, Melanie Dohmen, Matthias Lenga
2023	—	`conf`	BraSyn 2023 Challenge: Missing MRI Synthesis and the Effect of Different Learning Objectives. BraTS/CrossMoDA@MICCAI Ivo M. Baltruschat, Parvaneh Janbakhshi, Matthias Lenga
2023	J	`jnl`	Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge. CoRR 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
2023	J	`jnl`	Uncertainty Estimation in Contrast-Enhanced MR Image Translation with Multi-Axis Fusion. CoRR Ivo M. Baltruschat, Parvaneh Janbakhshi, Melanie Dohmen, Matthias Lenga
2023	J	`jnl`	fRegGAN with K-space Loss Regularization for Medical Image Translation. CoRR Ivo M. Baltruschat, Felix Kreis, Alexander Hoelscher, Melanie Dohmen, Matthias Lenga
2022	—	`conf`	Abstract: Verbesserung des 2D U-Nets für die 3D Mikrotomographie mit Synchrotronstrahlung mittels Multi-Axes Fusing. Bildverarbeitung für die Medizin Ivo M. Baltruschat, Hanna Cwieka, Diana Krüger, Berit Zeller-Plumhoff, Frank Schlünzen, Regine Willumeit-Römer, Julian Moosmann, Philipp Heuser
2021	—	`conf`	Abstract: Reduktion der Kalibrierungszeit für die Magnetpartikelbildgebung mittels Deep Learning. Bildverarbeitung für die Medizin Ivo M. Baltruschat, Patryk Szwargulski, Florian Griese, Mirco Grosser, René Werner, Tobias Knopp
2021	—	`conf`	Landmark Constellation Models For Central Venous Catheter Malposition Detection. ISBI Ilyas Sirazitdinov, Matthias Lenga, Ivo M. Baltruschat, Dmitry V. Dylov, Axel Saalbach
2020	—	`conf`	3d-SMRnet: Achieving a New Quality of MPI System Matrix Recovery by Deep Learning. MICCAI (2) Ivo M. Baltruschat, Patryk Szwargulski, Florian Griese, Mirco Grosser, René Werner, Tobias Knopp
2020	J	`jnl`	Intelligent Chest X-ray Worklist Prioritization by CNNs: A Clinical Workflow Simulation. CoRR Ivo M. Baltruschat, Leonhard Steinmeister, Hannes Nickisch, Axel Saalbach, Michael Grass, Gerhard Adam, Harald Ittrich, Tobias Knopp
2020	J	`jnl`	Skin Lesion Classification Using CNNs With Patch-Based Attention and Diagnosis-Guided Loss Weighting. IEEE Trans. Biomed. Eng. Nils Gessert, Thilo Sentker, Frederic Madesta, Rüdiger Schmitz, Helge Kniep, Ivo M. Baltruschat, René Werner, Alexander Schlaefer
2019	—	`conf`	Abstract: Does Bone Suppression and Lung Detection Improve Chest Disease Classification? Bildverarbeitung für die Medizin Ivo M. Baltruschat, Leonhard Steinmeister, Harald Ittrich, Gerhard Adam, Hannes Nickisch, Axel Saalbach, Jens von Berg, Michael Grass, Tobias Knopp
2019	J	`jnl`	Deep Learning for Pneumothorax Detection and Localization in Chest Radiographs. CoRR André Gooßen, Hrishikesh Deshpande, Tim Harder, Evan Schwab, Ivo M. Baltruschat, Thusitha De Silva Mabotuwana, Nathan M. Cross, Axel Saalbach
2019	J	`jnl`	Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting. CoRR Nils Gessert, Thilo Sentker, Frederic Madesta, Rüdiger Schmitz, Helge Kniep, Ivo M. Baltruschat, René Werner, Alexander Schlaefer
2019	—	`conf`	When Does Bone Suppression And Lung Field Segmentation Improve Chest X-Ray Disease Classification? ISBI Ivo M. Baltruschat, Leonhard Steinmeister, Harald Ittrich, Gerhard Adam, Hannes Nickisch, Axel Saalbach, Jens von Berg, Michael Grass, Tobias Knopp
2018	J	`jnl`	Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification. CoRR Ivo M. Baltruschat, Hannes Nickisch, Michael Grass, Tobias Knopp, Axel Saalbach
2018	B	`conf`	Orientation regression in hand radiographs: a transfer learning approach. Image Processing Ivo M. Baltruschat, Axel Saalbach, Mattias P. Heinrich, Hannes Nickisch, Sascha Jockel
2018	J	`jnl`	Skin Lesion Diagnosis using Ensembles, Unscaled Multi-Crop Evaluation and Loss Weighting. CoRR Nils Gessert, Thilo Sentker, Frederic Madesta, Rüdiger Schmitz, Helge Kniep, Ivo M. Baltruschat, René Werner, Alexander Schlaefer
2018	J	`jnl`	When does Bone Suppression and Lung Field Segmentation Improve Chest X-Ray Disease Classification? CoRR Ivo M. Baltruschat, Leonhard Steinmeister, Harald Ittrich, Gerhard Adam, Hannes Nickisch, Axel Saalbach, Jens von Berg, Michael Grass, Tobias Knopp