Marc E. Miquel

Queen Mary University of London — United Kingdom

Medicine · Health Sciences

26h-index2.4kcitations100works0.52yr avg
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Research Topics

Advanced MRI Techniques and Applications(36), Medical Imaging Techniques and Applications(15), Cardiac Imaging and Diagnostics(14), Radiomics and Machine Learning in Medical Imaging(13), MRI in cancer diagnosis(10)

Publications100 total

PRORED: a hybrid transformer framework with progressive refinement decoding for segmenting dynamic speech MRI
BJR|Artificial Intelligence·2025Open Access
Diagnostic performance of quantitative measures from [18F]FDG PET/CT, [18F]FEC PET/CT, and DW-MRI in the detection of lymph node metastases in endometrial and cervical cancer: data from the MAPPING study
European Journal of Nuclear Medicine and Molecular Imaging·2025Open Access
Increasing MRI capacity at a clinical diagnostic centre and a trauma hospital using artificial intelligence-based image reconstruction (AI-IR): a quality improvement project using the Model for Improvement framework
BMJ Open Quality·2025· 1 citedOpen Access
Increasing MSK MRI Capacity using Artificial Intelligence based Image Reconstruction (AI-IR): A Quality Improvement Project
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2025
Clinical AI-based MR Image Reconstruction: UK National Stakeholder Engagement
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2025
Evaluation of Retrospective Fusion of SPECT and MRI in Back Pain: A Pilot Study
Clinical nuclear medicine open.·2025· 1 citedOpen Access
DAG-UNet: Dissimilarity-Aware Global Context Guided Lightweight UNet for Medical Image Segmentation
2025· 3 cited
GoLoCo-Net: Global-Local guided Contextual Attention Network for Medical Images Segmentation
SSRN Electronic Journal·2025Open Access
Exploring how different stakeholders view the use of artificial intelligence in MRI
The Royal College of Radiologists Open·2025· 1 citedOpen Access
Implementing AI in MRI image reconstruction: a clinical QI project
The Royal College of Radiologists Open·2025Open Access
Supplementary Data from Diagnostic Accuracy of FEC-PET/CT, FDG-PET/CT, and Diffusion-Weighted MRI in Detection of Nodal Metastases in Surgically Treated Endometrial and Cervical Carcinoma
2024Open Access
Data from Diagnostic Accuracy of FEC-PET/CT, FDG-PET/CT, and Diffusion-Weighted MRI in Detection of Nodal Metastases in Surgically Treated Endometrial and Cervical Carcinoma
2024Open Access
SANGRE: a Shallow Attention Network Guided by Resolution Expansion for MR Image Segmentation
Lecture notes in computer science·2024· 1 cited
Real-time speech MRI datasets with corresponding articulator ground-truth segmentations
Scientific Data·2023· 7 citedOpen Access
A multi-speaker dataset of real-time two-dimensional speech magnetic resonance images with articulator ground-truth segmentations
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
A multi-speaker dataset of real-time two-dimensional speech magnetic resonance images with articulator ground-truth segmentations
Zenodo (CERN European Organization for Nuclear Research)·2023· 2 citedOpen Access
A multi-speaker dataset of real-time two-dimensional speech magnetic resonance images with articulator ground-truth segmentations
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Effects of spatial and temporal resolution on cardiovascular magnetic resonance feature tracking measurements using a simple realistic numerical phantom
British Journal of Radiology·2022· 4 citedOpen Access
A segmentation-informed deep learning framework to register dynamic two-dimensional magnetic resonance images of the vocal tract during speech
Biomedical Signal Processing and Control·2022· 5 citedOpen Access
Individual differences in vocal size exaggeration
Scientific Reports·2022· 17 citedOpen Access
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Frequent Co-authors

Reza Razavi(8), Stephen Keevil(8), David Hill(7), Andrea Rockall(7), Vivek Muthurangu(6), Edward Baker(6), Redha Boubertakh(6), Malcolm Birch(6), Sanjeet Hegde(5), Anju Sahdev(5), Andrew D. Scott(5), Niall MacDougall(5), Nishat Bharwani(4), Marzena Wylezinska(4), Laurance D. Hall(4), Carolyn McGettigan(4), Kawal Rhode(3), Andrew M. Taylor(3), J Blackall(3), Philip Dilks(3)