| Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning A Hering, L Hansen, TCW Mok, ACS Chung, H Siebert, S Häger, A Lange, ... IEEE Transactions on Medical Imaging 42 (3), 697-712, 2022 | 123 | 2022 |
| Semi-supervised segmentation of lesion from breast ultrasound images with attentional generative adversarial network L Han, Y Huang, H Dou, S Wang, S Ahamad, H Luo, Q Liu, J Fan, J Zhang Computer methods and programs in biomedicine 189, 105275, 2020 | 83 | 2020 |
| Two-stage CNNs for computerized BI-RADS categorization in breast ultrasound images Y Huang, L Han, H Dou, H Luo, Z Yuan, Q Liu, J Zhang, G Yin Biomedical engineering online 18, 1-18, 2019 | 64 | 2019 |
| Biomedical image analysis competitions: The state of current participation practice M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ... arXiv preprint arXiv:2212.08568, 2022 | 23 | 2022 |
| Four‐dimensional machine learning radiomics for the pretreatment assessment of breast cancer pathologic complete response to neoadjuvant chemotherapy in dynamic contrast … M Caballo, WBG Sanderink, L Han, Y Gao, A Athanasiou, RM Mann Journal of Magnetic Resonance Imaging 57 (1), 97-110, 2023 | 19 | 2023 |
| GAN-based disentanglement learning for chest X-ray rib suppression L Han, Y Lyu, C Peng, SK Zhou Medical Image Analysis 77, 102369, 2022 | 15 | 2022 |
| Predicting breast cancer types on and beyond molecular level in a multi-modal fashion T Zhang, T Tan, L Han, L Appelman, J Veltman, R Wessels, KM Duvivier, ... NPJ breast cancer 9 (1), 16, 2023 | 13 | 2023 |
| Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI L Han, T Tan, T Zhang, Y Huang, X Wang, Y Gao, J Teuwen, R Mann Medical Image Analysis 92, 103044, 2024 | 7 | 2024 |
| Radiomics and artificial intelligence in breast imaging: a survey T Zhang, T Tan, R Samperna, Z Li, Y Gao, X Wang, L Han, Q Yu, ... Artificial Intelligence Review 56 (Suppl 1), 857-892, 2023 | 7 | 2023 |
| Unsupervised cross-modality domain adaptation for vestibular schwannoma segmentation and koos grade prediction based on semi-supervised contrastive learning L Han, Y Huang, T Tan, R Mann International MICCAI Brainlesion Workshop, 49-58, 2022 | 6 | 2022 |
| Deformable registration of brain MR images via a hybrid loss L Han, H Dou, Y Huang, PT Yap International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 6 | 2021 |
| Predicting molecular subtypes of breast cancer using multimodal deep learning and incorporation of the attention mechanism T Zhang, L Han, Y Gao, X Wang, R Beets-Tan, R Mann Medical Imaging with Deep Learning, 2021 | 5 | 2021 |
| Synthesis of Contrast-Enhanced Breast MRI Using T1-and Multi-b-Value DWI-Based Hierarchical Fusion Network with Attention Mechanism T Zhang, L Han, A D’Angelo, X Wang, Y Gao, C Lu, J Teuwen, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 4 | 2023 |
| Artificial intelligence in breast imaging X Wang, N Moriakov, Y Gao, T Zhang, L Han, RM Mann Breast Imaging: Diagnosis and Intervention, 435-453, 2022 | 4 | 2022 |
| RadioLOGIC, a healthcare model for processing electronic health records and decision-making in breast disease T Zhang, T Tan, X Wang, Y Gao, L Han, L Balkenende, A D’Angelo, L Bao, ... Cell Reports Medicine 4 (8), 2023 | 3 | 2023 |
| Gsmorph: Gradient surgery for cine-mri cardiac deformable registration H Dou, N Bi, L Han, Y Huang, R Mann, X Yang, D Ni, N Ravikumar, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 2 | 2023 |
| Visualize what you learn: a well-explainable joint-learning framework based on multi-view mammograms and associated reports Y Gao, HY Zhou, X Wang, T Zhang, R Tan, L Han, L Estacio, A D’Angelo, ... | 2 | 2023 |
| IMPORTANT-Net: Integrated MRI multi-parametric increment fusion generator with attention network for synthesizing absent data T Zhang, T Tan, L Han, X Wang, Y Gao, J van Dijk, A Portaluri, ... Information Fusion 108, 102381, 2024 | 1* | 2024 |
| An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis L Han, T Zhang, Y Huang, H Dou, X Wang, Y Gao, C Lu, T Tan, R Mann International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
| Predicting up to 10 year breast cancer risk using longitudinal mammographic screening history X Wang, T Tan, Y Gao, R Su, T Zhang, L Han, J Teuwen, A D'Angelo, ... medRxiv, 2023.06. 28.23291994, 2023 | 1 | 2023 |
Ritse MannBreast and Interventional Radiologist, RadboudumcVerified email at radboudumc.nl
