| 1131 Robust semi-automatic computer-aided segmentation of the left ventricle K Lekadir, JA Nahed, M Ellington, R Merrifield, GZ Yang Journal of Cardiovascular Magnetic Resonance 10, 1-3, 2008 | | 2008 |
| 4D heart model helps unveiling contributors to cardiac EIT signal F Braun, M Proença, M Rapin, X Alba, K Lekadir, M Lemay, J Solà, ... Proc EIT, Neuchâtel, Switzerland, 2015 | 4 | 2015 |
| A convolutional neural network for automatic characterization of plaque composition in carotid ultrasound K Lekadir, A Galimzianova, A Betriu, M del Mar Vila, L Igual, DL Rubin, ... IEEE journal of biomedical and health informatics 21 (1), 48-55, 2016 | 212 | 2016 |
| A deep learning solution to detect left ventricular structural abnormalities with chest X-rays: towards trustworthy AI in cardiology K Lekadir European Heart Journal 45 (22), 2013-2015, 2024 | 1 | 2024 |
| A framework for optimal kernel-based manifold embedding of medical image data VA Zimmer, K Lekadir, C Hoogendoorn, AF Frangi, G Piella Computerized Medical Imaging and Graphics 41, 93-107, 2015 | 16 | 2015 |
| A framework for the merging of pre-existing and correspondenceless 3D statistical shape models M Pereañez, K Lekadir, C Butakoff, C Hoogendoorn, AF Frangi Medical image analysis 18 (7), 1044-1058, 2014 | 16 | 2014 |
| A general framework for context-specific image segmentation using reinforcement learning L Wang, K Lekadir, SL Lee, R Merrifield, GZ Yang IEEE transactions on medical imaging 32 (5), 943-956, 2013 | 34 | 2013 |
| A high-resolution atlas and statistical model of the human heart from multislice CT C Hoogendoorn, N Duchateau, D Sanchez-Quintana, T Whitmarsh, ... IEEE transactions on medical imaging 32 (1), 28-44, 2012 | 105 | 2012 |
| A multivariate genome-wide association study of psycho-cardiometabolic multimorbidity V Baltramonaityte, JB Pingault, CAM Cecil, P Choudhary, MR Järvelin, ... PLoS genetics 19 (6), e1010508, 2023 | 4 | 2023 |
| A multivariate genome-wide association study of psycho-cardiometabolic multimorbidity | | |
| A new scheme for the assessment of the robustness of Explainable Methods Applied to Brain Age estimation A Salih, IB Galazzo, Z Raisi-Estabragh, SE Petersen, P Gkontra, K Lekadir, ... 2021 IEEE 34th International Symposium on Computer-Based Medical Systems …, 2021 | 12 | 2021 |
| A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME AM Salih, Z Raisi‐Estabragh, IB Galazzo, P Radeva, SE Petersen, ... Advanced Intelligent Systems, 2400304, 2024 | | 2024 |
| A predictive model of vertebral trabecular anisotropy from ex vivo micro-CT K Lekadir, C Hoogendoorn, J Hazrati-Marangalou, Z Taylor, C Noble, ... IEEE transactions on medical imaging 34 (8), 1747-1759, 2014 | 4 | 2014 |
| A radiomics approach to analyze cardiac alterations in hypertension I Cetin, SE Petersen, S Napel, O Camara, MAG Ballester, K Lekadir 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 17 | 2019 |
| A radiomics approach to computer-aided diagnosis with cardiac cine-MRI I Cetin, G Sanroma, SE Petersen, S Napel, O Camara, MAG Ballester, ... Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS …, 2018 | 57 | 2018 |
| A Review of Evaluation Approaches for Explainable AI With Applications in Cardiology A Salih, IB Galazzo, P Gkontra, E Rauseo, AM Lee, K Lekadir, P Radeva, ... Authorea Preprints, 2023 | | 2023 |
| A review of heart chamber segmentation for structural and functional analysis using cardiac magnetic resonance imaging P Peng, K Lekadir, A Gooya, L Shao, SE Petersen, AF Frangi Magnetic Resonance Materials in Physics, Biology and Medicine 29, 155-195, 2016 | 311 | 2016 |
| A structural heart-brain axis mediates the association between cardiovascular risk and cognitive function A Jaggi, ELS Conole, Z Raisi-Estabragh, P Gkontra, C McCracken, ... Imaging Neuroscience 2, 1-18, 2024 | 2 | 2024 |
| A study on the role of radiomics feature stability in predicting breast cancer subtypes I Cama, A Guzman, S Garbarino, C Campi, K Lekadir, O Díaz 17th International Workshop on Breast Imaging (IWBI 2024) 13174, 418-427, 2024 | | 2024 |
| Accessible and fair machine learning models for risk prediction of schizophrenia spectrum disorders M Camacho, P Gkontra, A Atehortúa, K Lekadir Empowering Communities: A Participatory Approach to AI for Mental Health, 2022 | 1 | 2022 |
Steffen E PetersenQueen Mary University of London在 qmul.ac.uk 的电子邮件经过验证
