Henning Muller
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Explore the profile of Henning Muller including associated specialties, affiliations and a list of published articles.
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164
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3272
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Recent Articles
1.
Bolelli F, Lumetti L, Vinayahalingam S, Bartolomeo M, Pellacani A, Marchesini K, et al.
IEEE Trans Med Imaging
. 2025 Mar;
PP.
PMID: 40030587
In recent years, several algorithms have been developed for the segmentation of the Inferior Alveolar Canal (IAC) in Cone-Beam Computed Tomography (CBCT) scans. However, the availability of public datasets in...
2.
Maceira-Elvira P, Popa T, Schmid A, Cadic-Melchior A, Muller H, Schaer R, et al.
NPJ Sci Learn
. 2024 Nov;
9(1):69.
PMID: 39604463
Healthy aging often entails a decline in cognitive and motor functions, affecting independence and quality of life in older adults. Brain stimulation shows potential to enhance these functions, but studies...
3.
Fratti R, Marini N, Atzori M, Muller H, Tiengo C, Bassetto F
Sensors (Basel)
. 2024 Nov;
24(22).
PMID: 39598925
Advancements in neural network approaches have enhanced the effectiveness of surface Electromyography (sEMG)-based hand gesture recognition when measuring muscle activity. However, current deep learning architectures struggle to achieve good generalization...
4.
Molchanova N, Raina V, Malinin A, La Rosa F, Depeursinge A, Gales M, et al.
Comput Biol Med
. 2024 Nov;
184:109336.
PMID: 39546878
This paper explores uncertainty quantification (UQ) as an indicator of the trustworthiness of automated deep-learning (DL) tools in the context of white matter lesion (WML) segmentation from magnetic resonance imaging...
5.
Reichenpfader D, Muller H, Denecke K
NPJ Digit Med
. 2024 Aug;
7(1):222.
PMID: 39182008
Radiological imaging is a globally prevalent diagnostic method, yet the free text contained in radiology reports is not frequently used for secondary purposes. Natural Language Processing can provide structured data...
6.
Dhrangadhariya A, Manzo G, Muller H
Stud Health Technol Inform
. 2024 Aug;
316:1775-1779.
PMID: 39176561
Hand-labelling clinical corpora can be costly and inflexible, requiring re-annotation every time new classes need to be extracted. PICO (Participant, Intervention, Comparator, Outcome) information extraction can expedite conducting systematic reviews...
7.
An Overview of Public Retinal Optical Coherence Tomography Datasets: Access, Annotations, and Beyond
Rozhyna A, Somfai G, Atzori M, Muller H
Stud Health Technol Inform
. 2024 Aug;
316:1664-1668.
PMID: 39176530
In ophthalmology, Optical Coherence Tomography (OCT) has become a daily used tool in the diagnostics and therapeutic planning of various diseases. Publicly available datasets play a crucial role in advancing...
8.
Marini N, Marchesin S, Wodzinski M, Caputo A, Podareanu D, Guevara B, et al.
Med Image Anal
. 2024 Aug;
97:103303.
PMID: 39154617
The increasing availability of biomedical data creates valuable resources for developing new deep learning algorithms to support experts, especially in domains where collecting large volumes of annotated data is not...
9.
Rozhyna A, Somfai G, Atzori M, DeBuc D, Saad A, Zoellin J, et al.
Diagnostics (Basel)
. 2024 Aug;
14(15).
PMID: 39125544
Artificial intelligence has transformed medical diagnostic capabilities, particularly through medical image analysis. AI algorithms perform well in detecting abnormalities with a strong performance, enabling computer-aided diagnosis by analyzing the extensive...
10.
Jurgas A, Wodzinski M, DAmato M, van der Laak J, Atzori M, Muller H
Sci Rep
. 2024 Aug;
14(1):17847.
PMID: 39090284
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,...