Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Baltruschat, Ivo"'
Reference metrics have been developed to objectively and quantitatively compare two images. Especially for evaluating the quality of reconstructed or compressed images, these metrics have shown very useful. Extensive tests of such metrics on benchmar
Externí odkaz:
http://arxiv.org/abs/2408.06075
Image-to-image translation can create large impact in medical imaging, for instance the possibility to synthetically transform images to other modalities, sequence types, higher resolutions or lower noise levels. In order to assure a high level of pa
Externí odkaz:
http://arxiv.org/abs/2405.08431
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. In this challenge, researchers are invited to synthesize a
Externí odkaz:
http://arxiv.org/abs/2403.07800
In recent years, deep learning has been applied to a wide range of medical imaging and image processing tasks. In this work, we focus on the estimation of epistemic uncertainty for 3D medical image-to-image translation. We propose a novel model uncer
Externí odkaz:
http://arxiv.org/abs/2311.12153
Autor:
Zia, Aneeq, Bhattacharyya, Kiran, Liu, Xi, Berniker, Max, Wang, Ziheng, Nespolo, Rogerio, Kondo, Satoshi, Kasai, Satoshi, Hirasawa, Kousuke, Liu, Bo, Austin, David, Wang, Yiheng, Futrega, Michal, Puget, Jean-Francois, Li, Zhenqiang, Sato, Yoichi, Fujii, Ryo, Hachiuma, Ryo, Masuda, Mana, Saito, Hideo, Wang, An, Xu, Mengya, Islam, Mobarakol, Bai, Long, Pang, Winnie, Ren, Hongliang, Nwoye, Chinedu, Sestini, Luca, Padoy, Nicolas, Nielsen, Maximilian, Schüttler, Samuel, Sentker, Thilo, Husseini, Hümeyra, Baltruschat, Ivo, Schmitz, Rüdiger, Werner, René, Matsun, Aleksandr, Farooq, Mugariya, Saaed, Numan, Viera, Jose Renato Restom, Yaqub, Mohammad, Getty, Neil, Xia, Fangfang, Zhao, Zixuan, Duan, Xiaotian, Yao, Xing, Lou, Ange, Yang, Hao, Han, Jintong, Noble, Jack, Wu, Jie Ying, Alshirbaji, Tamer Abdulbaki, Jalal, Nour Aldeen, Arabian, Herag, Ding, Ning, Moeller, Knut, Chen, Weiliang, He, Quan, Bilal, Muhammad, Akinosho, Taofeek, Qayyum, Adnan, Caputo, Massimo, Vohra, Hunaid, Loizou, Michael, Ajayi, Anuoluwapo, Berrou, Ilhem, Niyi-Odumosu, Faatihah, Maier-Hein, Lena, Stoyanov, Danail, Speidel, Stefanie, Jarc, Anthony
The ability to automatically detect and track surgical instruments in endoscopic videos can enable transformational interventions. Assessing surgical performance and efficiency, identifying skilled tool use and choreography, and planning operational
Externí odkaz:
http://arxiv.org/abs/2305.07152
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. However, GANs tend to suffer from a frequency bias towards low freq
Externí odkaz:
http://arxiv.org/abs/2303.15938
Autor:
Iskhakova, Kamila, Cwieka, Hanna, Meers, Svenja, Helmholz, Heike, Davydok, Anton, Storm, Malte, Baltruschat, Ivo Matteo, Galli, Silvia, Pröfrock, Daniel, Will, Olga, Gerle, Mirko, Damm, Timo, Sefa, Sandra, He, Weilue, MacRenaris, Keith, Soujon, Malte, Beckmann, Felix, Moosmann, Julian, O'Hallaran, Thomas, Guillory, Roger J., II, Wieland, D.C. Florian, Zeller-Plumhoff, Berit, Willumeit-Römer, Regine
Publikováno v:
In Bioactive Materials November 2024 41:657-671
Autor:
Baltruschat, Ivo M., Steinmeister, Leonhard, Nickisch, Hannes, Saalbach, Axel, Grass, Michael, Adam, Gerhard, Knopp, Tobias, Ittrich, Harald
The aim is to evaluate whether smart worklist prioritization by artificial intelligence (AI) can optimize the radiology workflow and reduce report turnaround times (RTAT) for critical findings in chest radiographs (CXRs). Furthermore, we investigate
Externí odkaz:
http://arxiv.org/abs/2001.08625
Autor:
Gooßen, André, Deshpande, Hrishikesh, Harder, Tim, Schwab, Evan, Baltruschat, Ivo, Mabotuwana, Thusitha, Cross, Nathan, Saalbach, Axel
Pneumothorax is a critical condition that requires timely communication and immediate action. In order to prevent significant morbidity or patient death, early detection is crucial. For the task of pneumothorax detection, we study the characteristics
Externí odkaz:
http://arxiv.org/abs/1907.07324
Autor:
Baltruschat, Ivo Matteo, Szwargulski, Patryk, Griese, Florian, Grosser, Mirco, Werner, René, Knopp, Tobias
Magnetic particle imaging (MPI) data is commonly reconstructed using a system matrix acquired in a time-consuming calibration measurement. The calibration approach has the important advantage over model-based reconstruction that it takes the complex
Externí odkaz:
http://arxiv.org/abs/1905.03026