|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
|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
|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
J Doshi, G Erus, Y Ou, B Gaonkar, C Davatzikos
Academic radiology 20 (12), 1566-1576, 2013
|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
|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
|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
|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
|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
|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
|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
|Non-rigid registration between histological and MR images of the prostate: a joint segmentation and registration framework|
Y Ou, D Shen, M Feldman, J Tomaszewski, C Davatzikos
2009 IEEE computer society conference on computer vision and pattern …, 2009
|DRAMMS: deformable registration via attribute matching and mutual-saliency weighting|
Y Ou, C Davatzikos
International Conference on Information Processing in Medical Imaging, 50-62, 2009
|Simultaneous geometric-iconic registration|
A Sotiras, Y Ou, B Glocker, C Davatzikos, N Paragios
International Conference on Medical Image Computing and Computer-Assisted …, 2010
|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
|Multi-atlas segmentation of the prostate: A zooming process with robust registration and atlas selection|
Y Ou, J Doshi, G Erus, C Davatzikos
Medical Image Computing and Computer Assisted Intervention (MICCAI) Grand …, 2012
|Neuroanatomical classification in a population-based sample of psychotic major depression and bipolar I disorder with 1 year of diagnostic stability|
MH Serpa, Y Ou, MS Schaufelberger, J Doshi, LK Ferreira, ...
BioMed research international 2014, 2014
|Sampling the spatial patterns of cancer: Optimized biopsy procedures for estimating prostate cancer volume and Gleason Score|
Y Ou, D Shen, J Zeng, L Sun, J Moul, C Davatzikos
Medical image analysis 13 (4), 609-620, 2009
|Ensemble-based medical image labeling via sampling morphological appearance manifolds|
JJ Doshi, G Erus, Y Ou, C Davatzikos
MICCAI Challenge Workshop on Segmentation: Algorithms, Theory and …, 2013
|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, 2018