| Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis VMH Phan, Y Xie, B Zhang, Y Qi, Z Liao, A Perperidis, SL Phung, ... arXiv preprint arXiv:2406.18967, 2024 | | 2024 |
| Sex differences in coronary atherosclerotic plaque activity using 18F-sodium fluoride positron emission tomography J Kwiecinski, KL Wang, E Tzolos, A Moss, M Daghem, PD Adamson, ... European Journal of Nuclear Medicine and Molecular Imaging, 1-10, 2024 | | 2024 |
| Machine-Learning for Phenotyping and Prognostication of Myocardial Infarction and Injury in Suspected Acute Coronary Syndrome E Khan, K Lambrakis, Z Liao, J Gerlach, T Briffa, L Cullen, AJ Nelson, ... JACC: Advances, 101011, 2024 | | 2024 |
| Coronary atherosclerotic plaque activity and risk of myocardial infarction KL Wang, C Balmforth, MN Meah, M Daghem, AJ Moss, E Tzolos, ... Journal of the American College of Cardiology 83 (22), 2135-2144, 2024 | 1 | 2024 |
| Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis VM Hieu Phan, Y Xie, B Zhang, Y Qi, Z Liao, A Perperidis, SL Phung, ... arXiv e-prints, arXiv: 2406.18967, 2024 | | 2024 |
| Applications of natural language processing tools in the surgical journey KDR Le, SBP Tay, KT Choy, J Verjans, N Sasanelli, JCH Kong Frontiers in Surgery 11, 1403540, 2024 | | 2024 |
| Artificial intelligence to automate assessment of ocular and periocular measurements K Rana, M Beecher, C Caltabiano, C Macri, Y Zhao, J Verjans, D Selva European Journal of Ophthalmology, 11206721241249773, 2024 | | 2024 |
| Targeting macrophages with multifunctional nanoparticles to detect and prevent atherosclerotic cardiovascular disease V Nankivell, AK Vidanapathirana, A Hoogendoorn, JTM Tan, J Verjans, ... Cardiovascular Research 120 (8), 819-838, 2024 | 1 | 2024 |
| THE ASSOCIATION BETWEEN CORONARY ATHEROSCLEROTIC PLAQUE ACTIVITY AND VESSEL OUTCOMES: A SECONDARY ANALYSIS OF THE PRE18FFIR STUDY KL Wang, N Craig, A Moss, M Daghem, E Tzolos, M Meah, A Bularga, ... Journal of the American College of Cardiology 83 (13_Supplement), 1362-1362, 2024 | | 2024 |
| CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation T Faisal Chowdhury, K Liao, VM Hieu Phan, MS To, Y Xie, K Hung, ... arXiv e-prints, arXiv: 2404.02388, 2024 | | 2024 |
| Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Matching Framework M Hieu Phan, Y Xie, Y Qi, L Liu, L Liu, B Zhang, Z Liao, Q Wu, MS To, ... arXiv e-prints, arXiv: 2403.07636, 2024 | | 2024 |
| Facial and mandibular landmark tracking with habitual head posture estimation using linear and fiducial markers FH Saad, TH Farook, S Ahmed, Y Zhao, Z Liao, JW Verjans, J Dudley Healthcare Technology Letters 11 (1), 21-30, 2024 | | 2024 |
| Deep learning to predict lymph node status on pre‐operative staging CT in patients with colon cancer S Bedrikovetski, J Zhang, W Seow, L Traeger, JW Moore, J Verjans, ... Journal of Medical Imaging and Radiation Oncology 68 (1), 33-40, 2024 | | 2024 |
| CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation TF Chowdhury, K Liao, VMH Phan, MS To, Y Xie, K Hung, D Ross, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-training Framework VMH Phan, Y Xie, Y Qi, L Liu, L Liu, B Zhang, Z Liao, Q Wu, MS To, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| ReFs: A hybrid pre-training paradigm for 3D medical image segmentation Y Xie, J Zhang, L Liu, H Wang, Y Ye, J Verjans, Y Xia Medical Image Analysis 91, 103023, 2024 | 2 | 2024 |
| Artificial intelligence in echocardiography M Dorraki, PP Sengupta, JW Verjans Intelligence-Based Cardiology and Cardiac Surgery, 179-184, 2024 | | 2024 |
| Medical visual question answering Z Liao, A van den Hengel, JW Verjans Intelligence-Based Cardiology and Cardiac Surgery, 157-162, 2024 | | 2024 |
| Detecting, localizing and classifying polyps from colonoscopy videos using deep learning Y Tian, LZCT Pu, Y Liu, G Maicas, JW Verjans, AD Burt, SH Shin, R Singh, ... Deep Learning for Medical Image Analysis, 425-450, 2024 | 11 | 2024 |
| Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images Y Tian, F Liu, G Pang, Y Chen, Y Liu, JW Verjans, R Singh, G Carneiro Medical image analysis 90, 102930, 2023 | 28 | 2023 |
Leonard HofstraCardioloog在 cardiologiecentra.nl 的电子邮件经过验证
