Papers matching “deep learning image segmentation” 320
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Deep learning based automation of mean linear intercept quantification in COPD research2025 Frontiers in Big Data article Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques Open access
Lars Leyendecker, Anna Louisa Weltin, Florian Nienhaus, Michaela Matthey, Bastian Nießing, Daniela Wenzel, +1 more
2citations -
OP1 A novel coronary computed tomography angiography deep-learning methodology for coronary atheroma assessment trained using near-infrared spectroscopy-intravascular ultrasound
Anantharaman Ramasamy, Hessam Sokooti, Xiaotong Zhang, Evangelia Tzorovili, Retesh Bajaj, Pieter H. Kitslaar, +12 more
0citations -
Deep learning-based 3D reconstruction of dentate nuclei in Friedreich’s ataxia from T2*weighted MR images2025 Machine Learning with Applications article Computer Science Medical Image Segmentation Techniques Open access
Trushal Sardhara, Ravi Dadsena, Roland Can Aydin, R.-D Hilgers, Jörg Bernhard Schulz, Kathrin Reetz, +12 more
1citations -
UTILE-Pore: Deep Learning-Enabled 3D Analysis of Porous Materials in Polymer Electrolyte Membrane-Based Energy Devices2025 Journal of The Electrochemical Society article Engineering Fuel Cells and Related Materials Open access
André Colliard-Granero, Salvatore Ranieri, Aimy Bazylak, Tobias Morawietz, K. Andreas Friedrich, Jasna Janković, +2 more
4citations -
OP0190 QUANTIFICATION OF TENOSYNOVITIS, SYNOVITIS AND BONE MARROW EDEMA IN RHEUMATOID ARTHRITIS FROM WRIST MRIs, BASED ON DEEP LEARNING2024 Annals of the Rheumatic Diseases conference-abstract Computer Science Medical Image Segmentation Techniques
Denis P. Shamonin, Ye Li, Tahereh Hassanzadeh, Marleen E. Bakker, M. Reijnierse, Annette H M van der Helm–van Mil, +1 more
2citations -
Automated whole-heart volumetrics and haemodynamics from 4D flow CMR magnitude images: development and validation of a deep learning model2026 European Heart Journal - Imaging Methods and Practice article Medicine Cardiac Imaging and Diagnostics Open access
Alexander Gall, Ciaran Grafton‐Clarke, Rui Li, Zia Mehmood, Bahman Kasmai, Marina L. Hughes, +5 more
0citations -
POS0920 QUANTIFICATION OF TENOSYNOVITIS IN RA FROM WRIST MRIs, BASED ON DEEP LEARNING2023 Annals of the Rheumatic Diseases conference-abstract Computer Science Medical Image Segmentation Techniques Open access
Denis P. Shamonin, Y. LI, Tahereh Hassanzadeh, M. Reijnierse, A. Van der Helm – van Mil, Berend C. Stoel
2citations -
Aggregation of Class Activation Maps for Explaining Deep Learning at a Population Level2026 SSRN Electronic Journal preprint Computer Science Explainable Artificial Intelligence (XAI) Open access
Yanli Li, Xikai Tang, Dennis A Ton, Denis P. Shamonin, Hessam Sokooti, M. Reijnierse, +3 more
0citations -
Patient-Specific Finetuning of Deep Learning Models for Adaptive Radiotherapy in Prostate CT2020 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Computer Science Medical Image Segmentation Techniques Open access cited by 4 patents
Mohamed S. Elmahdy, Tanuj Ahuja, Uulke A. van der Heide, Marius Staring
18citations -
Automatisierte Detektion und Klassifikation von Beatmungs- und Kathetermaterialien in Röntgenaufnahmen des Thorax mittels Deep Learning2023 RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren article Medicine COVID-19 diagnosis using AI
Maximilian Franz Schulze-Hagen, Firas Khader, Sven Nebelung, Peter Isfort, Marwin-Jonathan Sähn, Christiane Katharina Kuhl, +1 more
0citations -
Deep-learning analysis of computed tomography coronary angiography data enables more accurate computation of the shear stress distribution than conventional analysis by experts: A head-to-head comparison with near-infrared spectroscopy-intravascular ultrasound-based modelling2025 Journal of cardiovascular computed tomography article Medicine Cardiac Imaging and Diagnostics Open access
Thamil Kumaran S M, İbrahi̇m Hali̇l Tanboğa, Amear Mohammed, Anantharaman Ramasamy, Andreas S. Kalogeropoulos, Mick Ozkor, +15 more
0citations