| The liver tumor segmentation benchmark (lits) P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ... Medical image analysis 84, 102680, 2023 | 1886 | 2023 |
| Automatic skin lesion segmentation using deep fully convolutional networks with jaccard distance Y Yuan, M Chao, YC Lo IEEE transactions on medical imaging 36 (9), 1876-1886, 2017 | 790 | 2017 |
| Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... Nature communications 13 (1), 7346, 2022 | 398 | 2022 |
| Head and neck tumor segmentation in PET/CT: the HECKTOR challenge V Oreiller, V Andrearczyk, M Jreige, S Boughdad, H Elhalawani, J Castelli, ... Medical image analysis 77, 102336, 2022 | 268 | 2022 |
| Improving dermoscopic image segmentation with enhanced convolutional-deconvolutional networks Y Yuan, YC Lo IEEE journal of biomedical and health informatics 23 (2), 519-526, 2017 | 248 | 2017 |
| Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 6th International Workshop, BrainLes 2020, Held in Conjunction with MICCAI 2020, Lima, Peru … A Crimi, S Bakas Springer Nature, 2021 | 242 | 2021 |
| Exploring nonlinear feature space dimension reduction and data representation in breast CADx with Laplacian eigenmaps and‐SNE AR Jamieson, ML Giger, K Drukker, H Li, Y Yuan, N Bhooshan Medical physics 37 (1), 339-351, 2010 | 196 | 2010 |
| Automatic skin lesion segmentation with fully convolutional-deconvolutional networks Y Yuan arXiv preprint arXiv:1703.05165, 2017 | 190 | 2017 |
| A dual‐stage method for lesion segmentation on digital mammograms Y Yuan, ML Giger, H Li, K Suzuki, C Sennett Medical physics 34 (11), 4180-4193, 2007 | 144 | 2007 |
| Hierarchical convolutional-deconvolutional neural networks for automatic liver and tumor segmentation Y Yuan arXiv preprint arXiv:1710.04540, 2017 | 126 | 2017 |
| Multimodality computer-aided breast cancer diagnosis with FFDM and DCE-MRI Y Yuan, ML Giger, H Li, N Bhooshan, CA Sennett Academic radiology 17 (9), 1158-1167, 2010 | 74 | 2010 |
| Automatic Brain Tumor Segmentation with Scale Attention Network Y Yuan Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2021 | 71 | 2021 |
| Feasibility study of in vivo MRI based dosimetric verification of proton end-of-range for liver cancer patients Y Yuan, OC Andronesi, TR Bortfeld, C Richter, R Wolf, AR Guimaraes, ... Radiotherapy and Oncology 106 (3), 378-382, 2013 | 57 | 2013 |
| Computerized three-class classification of MRI-based prognostic markers for breast cancer N Bhooshan, M Giger, D Edwards, Y Yuan, S Jansen, H Li, L Lan, ... Physics in Medicine & Biology 56 (18), 5995, 2011 | 47 | 2011 |
| Evaluation of computer-aided diagnosis on a large clinical full-field digital mammographic dataset H Li, ML Giger, Y Yuan, W Chen, K Horsch, L Lan, AR Jamieson, ... Academic radiology 15 (11), 1437-1445, 2008 | 45 | 2008 |
| Automatic head and neck tumor segmentation in PET/CT with scale attention network Y Yuan 3D Head and Neck Tumor Segmentation in PET/CT Challenge, 44-52, 2020 | 43 | 2020 |
| Potential of computer‐aided diagnosis of high spectral and spatial resolution (HiSS) MRI in the classification of breast lesions N Bhooshan, M Giger, M Medved, H Li, A Wood, Y Yuan, L Lan, ... Journal of Magnetic Resonance Imaging 39 (1), 59-67, 2014 | 34 | 2014 |
| Head and neck tumor segmentation and outcome prediction V Andrearczyk, V Oreiller, M Hatt, A Depeursinge UK: Springer, 2022 | 31 | 2022 |
| Correlative feature analysis on FFDM Y Yuan, ML Giger, H Li, C Sennett Medical physics 35 (12), 5490-5500, 2008 | 30 | 2008 |
| Robust breathing signal extraction from cone beam CT projections based on adaptive and global optimization techniques M Chao, J Wei, T Li, Y Yuan, KE Rosenzweig, YC Lo Physics in Medicine & Biology 61 (8), 3109, 2016 | 25 | 2016 |
Maryellen GigerUniversity of ChicagoVerified email at uchicago.edu
