Zobrazeno 1 - 10
of 240
pro vyhledávání: '"Mueller, Henning"'
Autor:
Wodzinski, Marek, Müller, Henning
The automatic registration of noninvasive second-harmonic generation microscopy to hematoxylin and eosin slides is a highly desired, yet still unsolved problem. The task is challenging because the second-harmonic images contain only partial informati
Externí odkaz:
http://arxiv.org/abs/2409.15931
Autor:
Guo, Zhuxian, Marzouki, Amine, Emile, Jean-François, Müller, Henning, Kurtz, Camille, Loménie, Nicolas
Lymphoid infiltration at tumor margins is a key prognostic marker in solid tumors, playing a crucial role in guiding immunotherapy decisions. Current assessment methods, heavily reliant on immunohistochemistry (IHC), face challenges in tumor margin d
Externí odkaz:
http://arxiv.org/abs/2407.16464
Autor:
Molchanova, Nataliia, Cagol, Alessandro, Gordaliza, Pedro M., Ocampo-Pineda, Mario, Lu, Po-Jui, Weigel, Matthias, Chen, Xinjie, Depeursinge, Adrien, Granziera, Cristina, Müller, Henning, Cuadra, Meritxell Bach
Uncertainty quantification (UQ) has become critical for evaluating the reliability of artificial intelligence systems, especially in medical image segmentation. This study addresses the interpretability of instance-wise uncertainty values in deep lea
Externí odkaz:
http://arxiv.org/abs/2407.05761
Autor:
Marini, Niccolò, Marchesin, Stefano, Ferris, Lluis Borras, Püttmann, Simon, Wodzinski, Marek, Fratti, Riccardo, Podareanu, Damian, Caputo, Alessandro, Boytcheva, Svetla, Vatrano, Simona, Fraggetta, Filippo, Nagtegaal, Iris, Silvello, Gianmaria, Atzori, Manfredo, Müller, Henning
The increasing availability of biomedical data is helping to design more robust deep learning (DL) algorithms to analyze biomedical samples. Currently, one of the main limitations to train DL algorithms to perform a specific task is the need for medi
Externí odkaz:
http://arxiv.org/abs/2406.14351
Autor:
Jurgas, Artur, Wodzinski, Marek, D'Amato, Marina, van der Laak, Jeroen, Atzori, Manfredo, Müller, Henning
Publikováno v:
Scientific Reports volume 14, Article number: 17847 (2024)
The problem of artifacts in whole slide image acquisition, prevalent in both clinical workflows and research-oriented settings, necessitates human intervention and re-scanning. Overcoming this challenge requires developing quality control algorithms,
Externí odkaz:
http://arxiv.org/abs/2406.11538
Autor:
Wodzinski, Marek, Müller, Henning
Automatic prediction of fluorescently labeled organelles from label-free transmitted light input images is an important, yet difficult task. The traditional way to obtain fluorescence images is related to performing biochemical labeling which is time
Externí odkaz:
http://arxiv.org/abs/2406.01187
Autor:
Rückert, Johannes, Bloch, Louise, Brüngel, Raphael, Idrissi-Yaghir, Ahmad, Schäfer, Henning, Schmidt, Cynthia S., Koitka, Sven, Pelka, Obioma, Abacha, Asma Ben, de Herrera, Alba G. Seco, Müller, Henning, Horn, Peter A., Nensa, Felix, Friedrich, Christoph M.
Automated medical image analysis systems often require large amounts of training data with high quality labels, which are difficult and time consuming to generate. This paper introduces Radiology Object in COntext version 2 (ROCOv2), a multimodal dat
Externí odkaz:
http://arxiv.org/abs/2405.10004
DeeperHistReg is a software framework dedicated to registering whole slide images (WSIs) acquired using multiple stains. It allows one to perform the preprocessing, initial alignment, and nonrigid registration of WSIs acquired using multiple stains (
Externí odkaz:
http://arxiv.org/abs/2404.14434
Publikováno v:
Computer Methods and Programs in Biomedicine, Vol. 250, 2024
The automatic registration of differently stained whole slide images (WSIs) is crucial for improving diagnosis and prognosis by fusing complementary information emerging from different visible structures. It is also useful to quickly transfer annotat
Externí odkaz:
http://arxiv.org/abs/2404.13108
Autor:
Martínez-Zarzuela, Mario, González-Ortega, David, Antón-Rodríguez, Míriam, Díaz-Pernas, Francisco Javier, Müller, Henning, Simón-Martínez, Cristina
Publikováno v:
Gait & Posture (2023) 106, p. 119-120
The use of a wide range of computer vision solutions, and more recently high-end Inertial Measurement Units (IMU) have become increasingly popular for assessing human physical activity in clinical and research settings. Nevertheless, to increase the
Externí odkaz:
http://arxiv.org/abs/2402.05958