| A survey on medical image analysis in diabetic retinopathy S Stolte, R Fang Medical image analysis 64, 101742, 2020 | 119 | 2020 |
| Domain-invariant interpretable fundus image quality assessment Y Shen, B Sheng, R Fang, H Li, L Dai, S Stolte, J Qin, W Jia, D Shen Medical image analysis 61, 101654, 2020 | 80 | 2020 |
| Machine learning and individual variability in electric field characteristics predict tDCS treatment response A Albizu, R Fang, A Indahlastari, A O’Shea, SE Stolte, KB See, ... Brain stimulation 13 (6), 1753-1764, 2020 | 72 | 2020 |
| STIR-Net: Deep Spatial-Temporal Image Restoration Net for Radiation Reduction in CT Perfusion Y Xiao, P Liu, Y Liang, S Stolte, P Sanelli, A Gupta, J Ivanidze, R Fang Frontiers in neurology 10, 647, 2019 | 27 | 2019 |
| Identify diabetic retinopathy-related clinical concepts and their attributes using transformer-based natural language processing methods Z Yu, X Yang, GL Sweeting, Y Ma, SE Stolte, R Fang, Y Wu BMC medical informatics and decision making 22 (Suppl 3), 255, 2022 | 9 | 2022 |
| Machine-learning defined precision tDCS for improving cognitive function A Albizu, A Indahlastari, Z Huang, J Waner, SE Stolte, R Fang, AJ Woods Brain stimulation 16 (3), 969-974, 2023 | 8 | 2023 |
| DOMINO: Domain-aware model calibration in medical image segmentation SE Stolte, K Volle, A Indahlastari, A Albizu, AJ Woods, K Brink, M Hale, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 5 | 2022 |
| BrainSegFounder: towards 3D foundation models for neuroimage segmentation J Cox, P Liu, SE Stolte, Y Yang, K Liu, KB See, H Ju, R Fang Medical Image Analysis 97, 103301, 2024 | 3 | 2024 |
| DOMINO++: Domain-Aware Loss Regularization for Deep Learning Generalizability SE Stolte, K Volle, A Indahlastari, A Albizu, AJ Woods, K Brink, M Hale, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 2 | 2023 |
| BrainFounder: Towards Brain Foundation Models for Neuroimage Analysis J Cox, P Liu, SE Stolte, Y Yang, K Liu, KB See, H Ju, R Fang arXiv preprint arXiv:2406.10395, 2024 | 1 | 2024 |
| DOMINO: Domain-aware loss for deep learning calibration SE Stolte, K Volle, A Indahlastari, A Albizu, AJ Woods, K Brink, M Hale, ... Software impacts 15, 100478, 2023 | 1 | 2023 |
| Identify Diabetic Retinopathy-related Clinical Concepts Using Transformer-based Natural Language Processing Methods Z Yu, X Yang, GL Sweeting, Y Ma, SE Stolte, R Fang, Y Wu 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI), 499-500, 2021 | 1 | 2021 |
| STIR-Net: Spatial-Temporal Image Restoration Net for CT Perfusion Radiation Reduction Y Xiao, P Liu, Y Liang, S Stolte, P Sanelli, A Gupta, J Ivanidze, R Fang Frontiers in Neurology 10, 355, 2019 | 1 | 2019 |
| Machine learning-optimized non-invasive brain stimulation and treatment response classification for major depression A Albizu, A Indahlastari, P Suen, Z Huang, JL Waner, SE Stolte, R Fang, ... Bioelectronic Medicine 10 (1), 25, 2024 | | 2024 |
| Towards tDCS Digital Twins Using Deep Learning-Based Direct Estimation of Personalized Electrical Field Maps from T1-Weighted MRI SE Stolte, A Indahlastari, A Albizu, AJ Woods, R Fang International Conference on Medical Image Computing and Computer-Assisted …, 2024 | | 2024 |
| Precise and rapid whole-head segmentation from magnetic resonance images of older adults using deep learning SE Stolte, A Indahlastari, J Chen, A Albizu, A Dunn, S Pedersen, KB See, ... Imaging Neuroscience 2, 1-21, 2024 | | 2024 |
| Artificial Intelligence for Characterizing Heart Failure in Cardiac Magnetic Resonance Images SE Stolte, R Fang, Y Wu, W Hogan, Y Gong Circulation 142 (Suppl_3), A15036-A15036, 2020 | | 2020 |
| Deep Spatial-Temporal Convolutional Neural Networks for Medical Image Restoration Y Xiao, S Stolte, P Liu, Y Liang, P Sanelli, A Gupta, J Ivanidze, R Fang Deep Learning and Convolutional Neural Networks for Medical Imaging and …, 2019 | | 2019 |
