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Haleh Akrami
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Year
A robust variational autoencoder using beta divergence
H Akrami, AA Joshi, J Li, S Aydore, RM Leahy
Knowledge-Based Systems, 107886, 2021
31*2021
Lost in music: neural signature of pleasure and its role in modulating attentional resources
S Nemati, H Akrami, S Salehi, H Esteky, S Moghimi
Brain Research 1711, 7-15, 2019
212019
pSConv: A pre-defined sparse kernel based convolution for deep CNNs
S Kundu, S Prakash, H Akrami, PA Beerel, KM Chugg
2019 57th Annual Allerton Conference on Communication, Control, and …, 2019
15*2019
Brain lesion detection using a robust variational autoencoder and transfer learning
H Akrami, AA Joshi, J Li, S Aydore, RM Leahy
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 786-790, 2020
122020
Group-wise alignment of resting fMRI in space and time
H Akrami, AA Joshi, J Li, RM Leahy
Medical Imaging 2019: Image Processing 10949, 737-744, 2019
92019
Culture modulates the brain response to harmonic violations: an eeg study on hierarchical syntactic structure in music
H Akrami, S Moghimi
Frontiers in human neuroscience 11, 591, 2017
52017
Predicting cognitive scores from resting fMRI data and geometric features of the brain
AA Joshi, J Li, H Akrami, RM Leahy
Medical Imaging 2019: Image Processing 10949, 619-625, 2019
32019
Neuroanatomic Markers of Posttraumatic Epilepsy Based on MR Imaging and Machine Learning
H Akrami, RM Leahy, A Irimia, PE Kim, CN Heck, AA Joshi
American Journal of Neuroradiology 43 (3), 347-353, 2022
2*2022
Addressing Variance Shrinkage in Variational Autoencoders using Quantile Regression
H Akrami, AA Joshi, S Aydore, RM Leahy
arXiv preprint arXiv:2010.09042, 2020
22020
Quantile regression for uncertainty estimation in vaes with applications to brain lesion detection
H Akrami, A Joshi, S Aydore, R Leahy
International Conference on Information Processing in Medical Imaging, 689-700, 2021
12021
fmri-kernel regression: A kernel-based method for pointwise statistical analysis of rs-fmri for population studies
AA Joshi, S Choi, H Akrami, RM Leahy
arXiv preprint arXiv:2012.06972, 2020
12020
A Matched Filter Decomposition of fMRI into Resting and Task Components
AA Joshi, H Akrami, J Li, RM Leahy
International Conference on Medical Image Computing and Computer-Assisted …, 2019
12019
rfDemons: resting fMRI-based cortical surface registration using the brainsync transform
AA Joshi, J Li, M Chong, H Akrami, RM Leahy
International Conference on Medical Image Computing and Computer-Assisted …, 2018
12018
Learning from imperfect training data using a robust loss function: application to brain image segmentation
H Akrami, W Cui, AA Joshi, RM Leahy
arXiv preprint arXiv:2208.04941, 2022
2022
Motor planning is not restricted to only one hemisphere: evidence from ERPs in individuals with hemiplegic cerebral palsy
N Sadeghi, MT Joghataei, A Shahbazi, SH Tonekaboni, H Akrami, ...
Experimental Brain Research, 1-16, 2022
2022
Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion Detection
H Akrami, A Joshi, S Aydore, R Leahy
Machine Learning for Biomedical Imaging 1 (IPMI 2021 special issue), 1-10, 2022
2022
Histopathology-based prediction of multiple genomics properties with extremely imbalanced classes
H Akrami, T Shah, A Vajdi, A Brown, R Krishnan, R Cristescu, A Chen
2022
Prediction of tumor mutation burden from H&E whole-slide images: a comparison of training strategies with convolutional neural networks
A Chen, T Shah, A Brown, H Akrami, A Swiston, A Vajdi, R Krishnan, ...
Medical Imaging 2022: Digital and Computational Pathology 12039, 299-304, 2022
2022
Semi-supervised Learning using Robust Loss
H Akrami, W Cui, AA Joshi, RM Leahy
arXiv preprint arXiv:2203.01524, 2022
2022
Differences in behavioral and cortical indices in pianists and non-musicians during a non-musical motor planning task: An event-related potential study
N Sadeghi, H Akrami, MT Joghataei, F Wallois, S Moghimi, MA Nazari
Neuroscience Letters 769, 136321, 2022
2022
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Articles 1–20