Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Atad, Matan"'
Autor:
Atad, Matan, Gruber, Gabriel, Ribeiro, Marx, Nicolini, Luis Fernando, Graf, Robert, Möller, Hendrik, Nispel, Kati, Ezhov, Ivan, Rueckert, Daniel, Kirschke, Jan S.
Accurate calibration of finite element (FE) models of human intervertebral discs (IVDs) is essential for their reliability and application in diagnosing and planning treatments for spinal conditions. Traditional calibration methods are computationall
Externí odkaz:
http://arxiv.org/abs/2408.06067
Autor:
Atad, Matan, Schinz, David, Moeller, Hendrik, Graf, Robert, Wiestler, Benedikt, Rueckert, Daniel, Navab, Nassir, Kirschke, Jan S., Keicher, Matthias
Counterfactual explanations (CEs) aim to enhance the interpretability of machine learning models by illustrating how alterations in input features would affect the resulting predictions. Common CE approaches require an additional model and are typica
Externí odkaz:
http://arxiv.org/abs/2408.01571
Autor:
Graf, Robert, Platzek, Paul-Sören, Riedel, Evamaria Olga, Ramschütz, Constanze, Starck, Sophie, Möller, Hendrik Kristian, Atad, Matan, Völzke, Henry, Bülow, Robin, Schmidt, Carsten Oliver, Rüdebusch, Julia, Jung, Matthias, Reisert, Marco, Weiss, Jakob, Löffler, Maximilian, Bamberg, Fabian, Wiestler, Bene, Paetzold, Johannes C., Rueckert, Daniel, Kirschke, Jan Stefan
Objectives: To present a publicly available torso segmentation network for large epidemiology datasets on volumetric interpolated breath-hold examination (VIBE) images. Materials & Methods: We extracted preliminary segmentations from TotalSegmentator
Externí odkaz:
http://arxiv.org/abs/2406.00125
Autor:
Möller, Hendrik, Graf, Robert, Schmitt, Joachim, Keinert, Benjamin, Atad, Matan, Sekuboyina, Anjany, Streckenbach, Felix, Schön, Hanna, Kofler, Florian, Kroencke, Thomas, Bette, Stefanie, Willich, Stefan, Keil, Thomas, Niendorf, Thoralf, Pischon, Tobias, Endemann, Beate, Menze, Bjoern, Rueckert, Daniel, Kirschke, Jan S.
Purpose. To present SPINEPS, an open-source deep learning approach for semantic and instance segmentation of 14 spinal structures (ten vertebra substructures, intervertebral discs, spinal cord, spinal canal, and sacrum) in whole body T2w MRI. Methods
Externí odkaz:
http://arxiv.org/abs/2402.16368
Autor:
Feng, Jianxiang, Atad, Matan, Rodríguez, Ismael, Durner, Maximilian, Günnemann, Stephan, Triebel, Rudolph
Machine Learning (ML) models in Robotic Assembly Sequence Planning (RASP) need to be introspective on the predicted solutions, i.e. whether they are feasible or not, to circumvent potential efficiency degradation. Previous works need both feasible an
Externí odkaz:
http://arxiv.org/abs/2307.01317
Autor:
Keicher, Matthias, Atad, Matan, Schinz, David, Gersing, Alexandra S., Foreman, Sarah C., Goller, Sophia S., Weissinger, Juergen, Rischewski, Jon, Dietrich, Anna-Sophia, Wiestler, Benedikt, Kirschke, Jan S., Navab, Nassir
Vertebral fractures are a consequence of osteoporosis, with significant health implications for affected patients. Unfortunately, grading their severity using CT exams is hard and subjective, motivating automated grading methods. However, current app
Externí odkaz:
http://arxiv.org/abs/2303.12031
Automatic Robotic Assembly Sequence Planning (RASP) can significantly improve productivity and resilience in modern manufacturing along with the growing need for greater product customization. One of the main challenges in realizing such automation r
Externí odkaz:
http://arxiv.org/abs/2303.10135
Autor:
Atad, Matan, Dmytrenko, Vitalii, Li, Yitong, Zhang, Xinyue, Keicher, Matthias, Kirschke, Jan, Wiestler, Bene, Khakzar, Ashkan, Navab, Nassir
Deep learning models used in medical image analysis are prone to raising reliability concerns due to their black-box nature. To shed light on these black-box models, previous works predominantly focus on identifying the contribution of input features
Externí odkaz:
http://arxiv.org/abs/2207.07553
Akademický článek
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These are the slides from a presentation given on Tuesday, 22nd June by five team members of the ACAWAI-CS project. It presents objectives, digital strategies and first results of the project. The lexture took place within the framework of the “Kol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::634bfc498fc9eb6df46097d135da72f3