Zobrazeno 1 - 10 of 16 pro vyhledávání: '"Björn H. Menze"'
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Akademický článek
DeepVesselNet: Vessel Segmentation, Centerline Prediction, and Bifurcation Detection in 3-D Angiographic Volumes
Autor: Giles Tetteh, Velizar Efremov, Nils D. Forkert, Matthias Schneider, Jan Kirschke, Bruno Weber, Claus Zimmer, Marie Piraud, Björn H. Menze
Publikováno v: Frontiers in Neuroscience, Vol 14 (2020)
We present DeepVesselNet, an architecture tailored to the challenges faced when extracting vessel trees and networks and corresponding features in 3-D angiographic volumes using deep learning. We discuss the problems of low execution speed and high m
Externí odkaz: https://doaj.org/article/3362901960b5417d87014b0d3ac514d8
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2
Improving Automated Glioma Segmentation in Routine Clinical Use Through Artificial Intelligence-Based Replacement of Missing Sequences With Synthetic Magnetic Resonance Imaging Scans
Autor: Benedikt Wiestler, Hongwei Li, Marie Franziska Thomas, Tom Finck, Florian Kofler, Lioba Grundl, Björn H. Menze, Claus Zimmer
OBJECTIVES Although automated glioma segmentation holds promise for objective assessment of tumor biology and response, its routine clinical use is impaired by missing sequences, for example, due to motion artifacts. The aim of our study was to devel
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4aa9c597d45cdca32068bafdc0194e77
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3
Proteomics of spatially identified tissues in whole organs
Autor: Florian Kofler, Harsharan S. Bhatia, Andreas-David Brunner, Kaltenecker D, Matthias Mann, Ali Ertürk, Fabian J. Theis, Mai H, Rami Al-Maskari, Björn H. Menze, Mihail Ivilinov Todorov, Thielert M, Kolabas Zi, Johannes C. Paetzold, Rong Z, Stephan A. Müller, Stefan F. Lichtenthaler, Ali M, Molbay M
SUMMARYSpatial molecular profiling of complex tissues is essential to investigate cellular function in physiological and pathological states. However, methods for molecular analysis of biological specimens imaged in 3D as a whole are lacking. Here, w
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8075358deedc67b5711807c1a411a423
https://doi.org/10.1101/2021.11.02.466753
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4
VERSE: A Vertebrae labelling and segmentation benchmark for multi-detector CT images
Autor: Mohanasankar Sivaprakasam, Timyoas Yeah, Tao Jiang, Xin Wang, Dalong Cheng, Manish Sahu, Maodong Chen, Sebastian Lehnert, Alexander Valentinitsch, Dong Yang, Nicolas Boutry, Shangliang Xu, Johannes C. Paetzold, Alexander Tack, Yujin Hu, Kevin W. Brown, Marilia Lirio, Malek El Husseini, Xu Liming, Darko Štern, Nikolas Lessmann, Suprosanna Shit, Tianfu Wang, Alexandre Kirszenberg, Martin Urschler, Daguang Xu, Feng Hou, Laurence E. Court, Raymond P. Mumme, Maximilian T. Löffler, Sai Ho Ling, Stefan Zachow, Zheng Xiangshang, Markus Rempfler, Yiwei Bai, Elodie Puybareau, Li-Wen Wang, Nicolás Pérez de Olaguer, Moritz Ehlke, Tamaz Amiranashvili, Di Chen, Christoph Angerman, Chan Zeng, Zixun Huang, Jiri Chmelik, Giles Tetteh, Hongwei Li, Jan S. Kirschke, Heiko Ramm, Amirhossein Bayat, Björn H. Menze, Ivan Ezhov, Jan Kukačka, Anjany Sekuboyina, Chenhang He, Ben Glocker, Tucker Netherton, Hans Liebl, Zhiqiang He, Roman Jakubicek, Christian Payer, Felix Ambellan, Supriti Mulay, Lê Duy Huỳnh, Brandon H. Rapazzo, Xinjun Ma, Amber Zhang, Hans Lamecker, Benedikt Wiestler
Publikováno v: Med. Image Anal. 73:102166 (2021)
Medical Image Analysis, 73
Vertebral labelling and segmentation are two fundamental tasks in an automated spine processing pipeline. Reliable and accurate processing of spine images is expected to benefit clinical decision-support systems for diagnosis, surgery planning, and p
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e4597e82cc93563d7ce7d43efb18451
https://push-zb.helmholtz-muenchen.de/frontdoor.php?source_opus=62736
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7
Detection of Ischemic Infarct Core in Non-contrast Computed Tomography
Autor: Maximilian Hornung, Björn H. Menze, Oliver Taubmann, Erik Fransén, Hendrik Ditt, Pawel Herman
Publikováno v: Machine Learning in Medical Imaging ISBN: 9783030598600
MLMI@MICCAI
Fast diagnosis is of critical importance for stroke treatment. In clinical routine, a non-contrast computed tomography scan (NCCT) is typically acquired immediately to determine whether the stroke is ischemic or hemorrhagic and plan therapy according
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cf4bfa52c2232e5e0a85dc4a0137b44c
https://doi.org/10.1007/978-3-030-59861-7_27
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8
Reliable Saliency Maps for Weakly-Supervised Localization of Disease Patterns
Autor: Jan S. Kirschke, Maximilian Möller, Benedikt Wiestler, Matthias Kohl, Florian Kofler, Björn H. Menze, Stefan Braunewell, Marie Piraud
Publikováno v: Interpretable and Annotation-Efficient Learning for Medical Image Computing ISBN: 9783030611651
iMIMIC/MIL3iD/LABELS@MICCAI
Training convolutional neural networks with image-based labels leads to black-box image classification results. Saliency maps offer localization cues of class-relevant patterns, without requiring costly pixel-based labels. We show a failure mode for
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::12c3d3dcb1ad568a1d3c7b006ea55ccb
https://doi.org/10.1007/978-3-030-61166-8_7
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9
Towards Quantitative Imaging Biomarkers of Tumor Dissemination: a Multi-scale Parametric Modeling of Multiple Myeloma
Autor: Marie Piraud, Laurent Kintzelé, Marc-André Weber, Björn H. Menze, Jens Hillengass, Markus Wennmann, Ulrich Keller, Georg Langs
The advent of medical imaging and automatic image analysis is bringing the full quantitative assessment of lesions and tumor burden at every clinical examination within reach. This opens avenues for the development and testing of functional disease m
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c0a8f0548075ff9ea233a7b90485683
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10
Predicting Future Bone Infiltration Patterns in Multiple Myeloma
Autor: Johannes Hofmanninger, Roxane Licandro, Björn H. Menze, Georg Langs, Marc-André Weber
Publikováno v: Patch-Based Techniques in Medical Imaging ISBN: 9783030004996
Patch-MI@MICCAI
Multiple Myeloma (MM) is a bone marrow malignancy affecting the generation pathway of plasma cells and B-lymphocytes. It results in their uncontrolled proliferation and malignant transformation and ultimately can lead to osteolytic lesions first visi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6731662699794603da1fa633eb64e563
https://doi.org/10.1007/978-3-030-00500-9_9
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