Papers matching “deep learning image segmentation” 48
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Deep learning image enhancement algorithms in PET/CT imaging: a phantom and sarcoma patient radiomic evaluation2025 European Journal of Nuclear Medicine and Molecular Imaging article Medicine Radiomics and Machine Learning in Medical Imaging Open access
Lara M. Bonney, Gijsbert M. Kalisvaart, Floris H. P. van Velden, Kevin Martin Bradley, Andrew Bassim Hassan, Willem Grootjans, +1 more
8citations -
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 -
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 -
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 -
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 -
Novel near-infrared spectroscopy–intravascular ultrasound-based deep-learning methodology for accurate coronary computed tomography plaque quantification and characterization
Anantharaman Ramasamy, Hessam Sokooti, Xiaotong Zhang, Evangelia Tzorovili, Retesh Bajaj, Pieter H. Kitslaar, +12 more
13citations -
A deep learning methodology for fully-automated quantification of calcific burden in high-resolution intravascular ultrasound images2025 The International Journal of Cardiovascular Imaging article Medicine Coronary Interventions and Diagnostics Open access
Xingwei He, Mohamed Mohamed, Nicole Ng, Thamil Kumaran S M, Retesh Bajaj, Nathan Angelo Lecaros Yap, +9 more
3citations -
Plaque burden estimated from optical coherence tomography with deep learning: In vivo validation using co‐registered intravascular ultrasound2022 Catheterization and Cardiovascular Interventions article Medicine Coronary Interventions and Diagnostics Open access
Jiayue Huang, Shengxian Tu, Shinichiro Masuda, Kai Ninomiya, Jouke Dijkstra, Miao Chu, +6 more
9citations -
Machine Learning Algorithms in Neuroimaging: An Overview2021 Acta neurochirurgica. Supplementum book-chapter Medicine Artificial Intelligence in Healthcare and Education
Vittorio Stumpo, Julius M. Kernbach, Christiaan Hendrik Bas van Niftrik, Martina Sebök, Jorn Fierstra, Luca Regli, +2 more
16citations -
Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation2024 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Medicine Retinal Imaging and Analysis
Yuli Wu, Weidong He, Dennis Eschweiler, Ningxin Dou, Zixin Fan, Shengli Mi, +2 more
7citations -
Automatic Pulmonary Function Estimation From Chest CT Scans Using Deep Regression Neural Networks: The Relation Between Structure and Function in Systemic Sclerosis
Jingnan Jia, Emiel R. Marges, Jeska Kirsten De Vries-Bouwstra, Maarten K. Ninaber, Lucia J.M. Kroft, Anne A. Schouffoer, +2 more
6citations