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Computer Methods and Programs in Biomedicine
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June 26, 2026
Spectral super-resolution for Parkinson's voice via representation-level methods under mixed-reality acquisition
Milosz Dudek, Jakub Sikora, Justyna Krzywdziak, et al.
Sensors (Basel, Switzerland)
|
January 10, 2026
GRU-Based Deep Multimodal Fusion of Speech and Head-IMU Signals in Mixed Reality for Parkinson's Disease Detection
Daria Hemmerling, Milosz Dudek, Justyna Krzywdziak, et al.
Scientific Reports
|
December 31, 2024
Automatic detection and multi-component segmentation of brain metastases in longitudinal MRI
Vincent Andrearczyk, Luis Schiappacasse, Daniel Abler, et al.
European Journal of Radiology
|
April 28, 2026
Radiomics-based mapping of glioblastoma infiltration beyond contrast enhancement: diffusion-perfusion correlations and survival analysis in large public cohorts
Santiago Cepeda, Olga Esteban-Sinovas, Luigi Tommaso Luppino, et al.
The Veterinary Quarterly
|
January 19, 2026
Development of an artificial intelligence-based algorithm for the detection of left atrial enlargement from feline thoracic radiographs
Carlotta Valente, Marek Wodzinski, Carlo Guglielmini, et al.
Journal of Pathology Informatics
|
January 23, 2023
Data-driven color augmentation for H&E stained images in computational pathology
Niccolò Marini, Sebastian Otalora, Marek Wodzinski, et al.
Medical Image Analysis
|
August 18, 2024
Multimodal representations of biomedical knowledge from limited training whole slide images and reports using deep learning
Niccolò Marini, Stefano Marchesin, Marek Wodzinski, et al.
Scientific Reports
|
December 16, 2025
Radiomics-based quantification of tumor infiltration in the non-enhancing peritumoral region on postoperative MRI is associated with survival in glioblastoma
Santiago Cepeda, Olga Esteban-Sinovas, Luigi Tommaso Luppino, et al.
Journal of Pathology Informatics
|
September 2, 2025
Automatic labels are as effective as manual labels in digital pathology images classification with deep learning
Niccolo Marini, Stefano Marchesin, Lluis Borras Ferris, et al.
NPJ Digital Medicine
|
July 22, 2022
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations
Niccolò Marini, Stefano Marchesin, Sebastian Otálora, et al.
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Search research articles
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Showing results (31-40 of 51) with videos related to
Sort By:
Page
of 6
Computer Methods and Programs in Biomedicine
|
June 26, 2026
Spectral super-resolution for Parkinson's voice via representation-level methods under mixed-reality acquisition
Milosz Dudek, Jakub Sikora, Justyna Krzywdziak, et al.
Sensors (Basel, Switzerland)
|
January 10, 2026
GRU-Based Deep Multimodal Fusion of Speech and Head-IMU Signals in Mixed Reality for Parkinson's Disease Detection
Daria Hemmerling, Milosz Dudek, Justyna Krzywdziak, et al.
Scientific Reports
|
December 31, 2024
Automatic detection and multi-component segmentation of brain metastases in longitudinal MRI
Vincent Andrearczyk, Luis Schiappacasse, Daniel Abler, et al.
European Journal of Radiology
|
April 28, 2026
Radiomics-based mapping of glioblastoma infiltration beyond contrast enhancement: diffusion-perfusion correlations and survival analysis in large public cohorts
Santiago Cepeda, Olga Esteban-Sinovas, Luigi Tommaso Luppino, et al.
The Veterinary Quarterly
|
January 19, 2026
Development of an artificial intelligence-based algorithm for the detection of left atrial enlargement from feline thoracic radiographs
Carlotta Valente, Marek Wodzinski, Carlo Guglielmini, et al.
Journal of Pathology Informatics
|
January 23, 2023
Data-driven color augmentation for H&E stained images in computational pathology
Niccolò Marini, Sebastian Otalora, Marek Wodzinski, et al.
Medical Image Analysis
|
August 18, 2024
Multimodal representations of biomedical knowledge from limited training whole slide images and reports using deep learning
Niccolò Marini, Stefano Marchesin, Marek Wodzinski, et al.
Scientific Reports
|
December 16, 2025
Radiomics-based quantification of tumor infiltration in the non-enhancing peritumoral region on postoperative MRI is associated with survival in glioblastoma
Santiago Cepeda, Olga Esteban-Sinovas, Luigi Tommaso Luppino, et al.
Journal of Pathology Informatics
|
September 2, 2025
Automatic labels are as effective as manual labels in digital pathology images classification with deep learning
Niccolo Marini, Stefano Marchesin, Lluis Borras Ferris, et al.
NPJ Digital Medicine
|
July 22, 2022
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations
Niccolò Marini, Stefano Marchesin, Sebastian Otálora, et al.
Page
of 6