H. Akrami

发表

Culture Modulates the Brain Response to Harmonic Violations: An EEG Study on Hierarchical Syntactic Structure in Music

S. Moghimi, H. Akrami, 2017, Front. Hum. Neurosci..

Neuroanatomic markers of post-traumatic epilepsy based on magnetic resonance imaging and machine learning

Anand A. Joshi, R. Leahy, C. Heck, 2020, medRxiv.

Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion Detection

Anand A. Joshi, Sergül Aydöre, H. Akrami, 2021, The journal of machine learning for biomedical imaging.

Lost in music: Neural signature of pleasure and its role in modulating attentional resources

H. Esteky, S. Moghimi, Sina Salehi, 2019, Brain Research.

Motor planning is not restricted to only one hemisphere: evidence from ERPs in individuals with hemiplegic cerebral palsy

N. Sadeghi, M. Joghataei, M. Nazari, 2022, Experimental Brain Research.

Learning From Positive and Unlabeled Data Using Observer-GAN

R. Leahy, H. Akrami, Omar Zamzam, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Prediction of tumor mutation burden from H&E whole-slide images: a comparison of training strategies with convolutional neural networks

R. Cristescu, Tosha Shah, Amir Vajdi, 2022, Medical Imaging.

Speech MOS multi-task learning and rater bias correction

H. Gamper, H. Akrami, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Toward Improved Generalization: Meta Transfer of Self-supervised Knowledge on Graphs

Anand A. Joshi, R. Leahy, H. Akrami, 2022, ArXiv.

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, F. Wallois, S. Moghimi, 2021, Neuroscience Letters.

pSConv: A Pre-defined S parse Kernel Based Convolution for Deep CNNs

Peter A. Beerel, Keith M. Chugg, Souvik Kundu, 2019, 2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

A pairwise approach for fMRI group studies using the BrainSync Transform

Richard M. Leahy, Soyoung Choi, Anand A. Joshi, 2021, Medical Imaging.

fMRI-Kernel Regression: A Kernel-based Method for Pointwise Statistical Analysis of rs-fMRI for Population Studies

Anand A. Joshi, R. Leahy, Soyoung Choi, 2020, ArXiv.

Neuroanatomic Markers of Posttraumatic Epilepsy Based on MR Imaging and Machine Learning

R. Leahy, A. Irimia, H. Akrami, 2022, American Journal of Neuroradiology.

Predicting cognitive scores from resting fMRI data and geometric features of the brain

Richard M. Leahy, Jian Li, Anand A. Joshi, 2019, Medical Imaging: Image Processing.

rfDemons: Resting fMRI-Based Cortical Surface Registration Using the BrainSync Transform

Jian Li, Richard M. Leahy, Anand A. Joshi, 2018, MICCAI.

Group-wise alignment of resting fMRI in space and time

Richard M. Leahy, Jian Li, Anand A. Joshi, 2019, Medical Imaging: Image Processing.

Learning from imperfect training data using a robust loss function: application to brain image segmentation

Anand A. Joshi, R. Leahy, H. Akrami, 2022, ArXiv.

Semi-supervised Learning using Robust Loss

Anand A. Joshi, R. Leahy, H. Akrami, 2022, ArXiv.

Prediction of posttraumatic epilepsy using machine learning

Richard M. Leahy, Andrei Irimia, Anand A. Joshi, 2021, Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging.

pSConv: A Pre-defined S parse Kernel Based Convolution for Deep CNNs pdf

Peter A. Beerel, Souvik Kundu, Keith M. Chugg, 2019, 2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Brain Lesion Detection Using A Robust Variational Autoencoder and Transfer Learning

Richard M. Leahy, Sergül Aydöre, Anand A. Joshi, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Robust Variational Autoencoder pdf

Jian Li, Richard M. Leahy, Anand A. Joshi, 2019, ArXiv.

Meta Transfer of Self-Supervised Knowledge: Foundation Model in Action for Post-Traumatic Epilepsy Prediction

H. Akrami, Wenhui Cui, Ganning Zhao, 2023, ArXiv.

Prediction of Post Traumatic Epilepsy using MRI-based Imaging Markers

H. Akrami, P. Kim, Wenhui Cui, 2024, bioRxiv.

A Matched Filter Decomposition of fMRI into Resting and Task Components

Richard M. Leahy, Anand A. Joshi, Jian Li, 2019, MICCAI.

Addressing Variance Shrinkage in Variational Autoencoders using Quantile Regression pdf

Richard M. Leahy, Sergül Aydöre, Anand A. Joshi, 2020, ArXiv.