| Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge G Litjens, R Toth, W Van De Ven, C Hoeks, S Kerkstra, B Van Ginneken, ... Medical image analysis 18 (2), 359-373, 2014 | 874 | 2014 |
| DRAMMS: Deformable registration via attribute matching and mutual-saliency weighting Y Ou, A Sotiras, N Paragios, C Davatzikos Medical image analysis 15 (4), 622-639, 2011 | 472 | 2011 |
| Radiomics in brain tumor: image assessment, quantitative feature descriptors, and machine-learning approaches M Zhou, J Scott, B Chaudhury, L Hall, D Goldgof, KW Yeom, M Iv, Y Ou, ... American Journal of Neuroradiology 39 (2), 208-216, 2018 | 405 | 2018 |
| Multi-atlas skull-stripping J Doshi, G Erus, Y Ou, B Gaonkar, C Davatzikos Academic radiology 20 (12), 1566-1576, 2013 | 296 | 2013 |
| MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection J Doshi, G Erus, Y Ou, SM Resnick, RC Gur, RE Gur, TD Satterthwaite, ... Neuroimage 127, 186-195, 2016 | 288 | 2016 |
| Right ventricle segmentation from cardiac MRI: a collation study C Petitjean, MA Zuluaga, W Bai, JN Dacher, D Grosgeorge, J Caudron, ... Medical image analysis 19 (1), 187-202, 2015 | 272 | 2015 |
| Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome C Davatzikos, S Rathore, S Bakas, S Pati, M Bergman, R Kalarot, ... Journal of medical imaging 5 (1), 011018-011018, 2018 | 224 | 2018 |
| Comparative evaluation of registration algorithms in different brain databases with varying difficulty: results and insights Y Ou, H Akbari, M Bilello, X Da, C Davatzikos IEEE transactions on medical imaging 33 (10), 2039-2065, 2014 | 197 | 2014 |
| Accuracy of segment-anything model (sam) in medical image segmentation tasks S He, R Bao, J Li, PE Grant, Y Ou CoRR, 2023 | 175 | 2023 |
| Multiparametric tissue characterization of brain neoplasms and their recurrence using pattern classification of MR images R Verma, EI Zacharaki, Y Ou, H Cai, S Chawla, SK Lee, ER Melhem, ... Academic radiology 15 (8), 966-977, 2008 | 172 | 2008 |
| Infant FreeSurfer: An automated segmentation and surface extraction pipeline for T1-weighted neuroimaging data of infants 0–2 years L Zöllei, JE Iglesias, Y Ou, PE Grant, B Fischl Neuroimage 218, 116946, 2020 | 157 | 2020 |
| Integration and relative value of biomarkers for prediction of MCI to AD progression: spatial patterns of brain atrophy, cognitive scores, APOE genotype and CSF biomarkers X Da, JB Toledo, J Zee, DA Wolk, SX Xie, Y Ou, A Shacklett, P Parmpi, ... NeuroImage: Clinical 4, 164-173, 2014 | 147 | 2014 |
| Global-local transformer for brain age estimation S He, PE Grant, Y Ou IEEE transactions on medical imaging 41 (1), 213-224, 2021 | 133 | 2021 |
| Registering histologic and MR images of prostate for image-based cancer detection Y Zhan, Y Ou, M Feldman, J Tomaszeweski, C Davatzikos, D Shen Academic radiology 14 (11), 1367-1381, 2007 | 119 | 2007 |
| Phase II study of tivozanib, an oral VEGFR inhibitor, in patients with recurrent glioblastoma J Kalpathy-Cramer, V Chandra, X Da, Y Ou, KE Emblem, A Muzikansky, ... Journal of neuro-oncology 131, 603-610, 2017 | 92 | 2017 |
| Evaluation of MRI to ultrasound registration methods for brain shift correction: the CuRIOUS2018 challenge Y Xiao, H Rivaz, M Chabanas, M Fortin, I Machado, Y Ou, MP Heinrich, ... IEEE transactions on medical imaging 39 (3), 777-786, 2019 | 87 | 2019 |
| Neuroanatomical pattern classification in a population-based sample of first-episode schizophrenia MV Zanetti, MS Schaufelberger, J Doshi, Y Ou, LK Ferreira, PR Menezes, ... Progress in Neuro-Psychopharmacology and Biological Psychiatry 43, 116-125, 2013 | 77 | 2013 |
| Multi-channel attention-fusion neural network for brain age estimation: Accuracy, generality, and interpretation with 16,705 healthy MRIs across lifespan S He, D Pereira, JD Perez, RL Gollub, SN Murphy, S Prabhu, R Pienaar, ... Medical image analysis 72, 102091, 2021 | 68 | 2021 |
| Computer-vision benchmark segment-anything model (sam) in medical images: Accuracy in 12 datasets S He, R Bao, J Li, J Stout, A Bjornerud, PE Grant, Y Ou arXiv preprint arXiv:2304.09324, 2023 | 67 | 2023 |
| Probabilistic segmentation of brain tumors based on multi-modality magnetic resonance images H Cai, R Verma, Y Ou, S Lee, ER Melhem, C Davatzikos 2007 4th IEEE International Symposium on biomedical imaging: from nano to …, 2007 | 66 | 2007 |
Christos DavatzikosDirector, AI2D Center for AI/Data Science for Integrated Diagnostics, Professor Radiology/ESE/DBEIVerified email at pennmedicine.upenn.edu
