Kayhan Batmanghelich
Kayhan Batmanghelich
Assistant Professor, Boston University
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Zitiert von
Zitiert von
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
Deep ordinal regression network for monocular depth estimation
H Fu, M Gong, C Wang, K Batmanghelich, D Tao
Proceedings of the IEEE conference on computer vision and pattern …, 2018
Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification
C Davatzikos, P Bhatt, LM Shaw, KN Batmanghelich, JQ Trojanowski
Neurobiology of aging 32 (12), 2322. e19-2322. e27, 2011
Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline
Y Fan, N Batmanghelich, CM Clark, C Davatzikos, ...
Neuroimage 39 (4), 1731-1743, 2008
Geometry-consistent generative adversarial networks for one-sided unsupervised domain mapping
H Fu, M Gong, C Wang, K Batmanghelich, K Zhang, D Tao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Nonparametric Spherical Topic Modeling with Word Embeddings
S Batmanghelich, Kayhan and Saeedi, Ardavan and Narasimhan, Karthik and Gershman
arXiv preprint arXiv:1604.00126, 2016
Explanation by Progressive Exaggeration
S Singla, B Pollack, J Chen, K Batmanghelich
International Conference on Learning Representations, 2019
Can contrastive learning avoid shortcut solutions?
J Robinson, L Sun, K Yu, K Batmanghelich, S Jegelka, S Sra
Advances in neural information processing systems 34, 4974-4986, 2021
Generative-discriminative basis learning for medical imaging
NK Batmanghelich, B Taskar, C Davatzikos
IEEE transactions on medical imaging 31 (1), 51-69, 2011
Twin Auxiliary Classifiers GAN
M Gong, Y Xu, C Li, K Zhang, K Batmanghelich
NeurIPs preprint arXiv:1907.02690, 2019
Weakly supervised disentanglement by pairwise similarities
J Chen, K Batmanghelich
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3495-3502, 2020
An efficient and provable approach for mixture proportion estimation using linear independence assumption
X Yu, T Liu, M Gong, K Batmanghelich, D Tao
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation
R Dorent, A Kujawa, M Ivory, S Bakas, N Rieke, S Joutard, B Glocker, ...
Medical Image Analysis 83, 102628, 2023
Disease classification and prediction via semi-supervised dimensionality reduction
KN Batmanghelich, HY Dong, KM Pohl, B Taskar, C Davatzikos
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011
Joint modeling of imaging and genetics
NK Batmanghelich, AV Dalca, MR Sabuncu, P Golland
Information Processing in Medical Imaging: 23rd International Conference …, 2013
Explaining the black-box smoothly—a counterfactual approach
S Singla, M Eslami, B Pollack, S Wallace, K Batmanghelich
Medical Image Analysis 84, 102721, 2023
Causal discovery in the presence of measurement error: Identifiability conditions
K Zhang, M Gong, J Ramsey, K Batmanghelich, P Spirtes, C Glymour
arXiv preprint arXiv:1706.03768, 2017
Probabilistic modeling of imaging, genetics and diagnosis
NK Batmanghelich, A Dalca, G Quon, M Sabuncu, P Golland
IEEE transactions on medical imaging 35 (7), 1765-1779, 2016
Transfer learning with label noise
X Yu, T Liu, M Gong, K Zhang, K Batmanghelich, D Tao
arXiv preprint arXiv:1707.09724, 2017
Hierarchical amortized GAN for 3D high resolution medical image synthesis
L Sun, J Chen, Y Xu, M Gong, K Yu, K Batmanghelich
IEEE journal of biomedical and health informatics 26 (8), 3966-3975, 2022
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