Haleh Akrami

According to our database, Haleh Akrami authored at least 27 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Beta Quantile Regression for Robust Estimation of Uncertainty in the Presence of Outliers.

Haleh Akrami, Omar Zamzam, Anand A. Joshi, Sergül Aydöre, Richard M. Leahy

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

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

Wenhui Cui, Haleh Akrami, Ganning Zhao, Anand A. Joshi, Richard M. Leahy

CoRR, 2023

Learning A Disentangling Representation For PU Learning.

Omar Zamzam, Haleh Akrami, Mahdi Soltanolkotabi, Richard M. Leahy

CoRR, 2023

Learning From Positive and Unlabeled Data Using Observer-GAN.

Omar Zamzam, Haleh Akrami, Richard M. Leahy

Proceedings of the IEEE International Conference on Acoustics, 2023

Speech MOS Multi-Task Learning and Rater Bias Correction.

Haleh Akrami, Hannes Gamper

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

A robust variational autoencoder using beta divergence.

Haleh Akrami, Anand A. Joshi, Jian Li, Sergül Aydöre, Richard M. Leahy

Knowl. Based Syst., 2022

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

Wenhui Cui, Haleh Akrami, Anand A. Joshi, Richard M. Leahy

CoRR, 2022

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

Haleh Akrami, Wenhui Cui, Anand A. Joshi, Richard M. Leahy

CoRR, 2022

Semi-supervised Learning using Robust Loss.

Wenhui Cui, Haleh Akrami, Anand A. Joshi, Richard M. Leahy

CoRR, 2022

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

Antong Chen, Tosha Shah, Andrew Brown, Haleh Akrami, Albert Swiston, Amir Vajdi, Radha Krishnan, Razvan Cristescu

Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 2022

Sequential Multi-task Learning for Histopathology-Based Prediction of Genetic Mutations with Extremely Imbalanced Labels.

Haleh Akrami, Tosha Shah, Amir Vajdi, Andrew Brown, Radha Krishnan, Razvan Cristescu, Antong Chen

Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022

2021

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

Haleh Akrami, Anand A. Joshi, Sergül Aydöre, Richard M. Leahy

CoRR, 2021

Bias field correction in 3D-MRIs using convolutional autoencoders.

Shashank N. Sridhara, Haleh Akrami, Vaishnavi Krishnamurthy, Anand A. Joshi

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

A pairwise approach for fMRI group studies using the BrainSync Transform.

Anand A. Joshi, Soyoung Choi, Jian Li, Haleh Akrami, Richard M. Leahy

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Prediction of posttraumatic epilepsy using machine learning.

Haleh Akrami, Andrei Irimia, Wenhui Cui, Anand A. Joshi, Richard M. Leahy

Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

Quantile Regression for Uncertainty Estimation in VAEs with Applications to Brain Lesion Detection.

Haleh Akrami, Anand A. Joshi, Sergül Aydöre, Richard M. Leahy

Proceedings of the Information Processing in Medical Imaging, 2021

2020

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

Anand A. Joshi, Soyoung Choi, Haleh Akrami, Richard M. Leahy

CoRR, 2020

Addressing Variance Shrinkage in Variational Autoencoders using Quantile Regression.

Haleh Akrami, Anand A. Joshi, Sergül Aydöre, Richard M. Leahy

CoRR, 2020

Robust Variational Autoencoder for Tabular Data with Beta Divergence.

Haleh Akrami, Sergül Aydöre, Richard M. Leahy, Anand A. Joshi

CoRR, 2020

Brain Lesion Detection Using A Robust Variational Autoencoder and Transfer Learning.

Haleh Akrami, Anand A. Joshi, Jian Li, Sergül Aydöre, Richard M. Leahy

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

A Pre-defined Sparse Kernel Based Convolution for Deep CNNs.

Souvik Kundu, Saurav Prakash, Haleh Akrami, Peter A. Beerel, Keith M. Chugg

CoRR, 2019

Robust Variational Autoencoder.

Haleh Akrami, Anand A. Joshi, Jian Li, Richard M. Leahy

CoRR, 2019

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

Anand A. Joshi, Jian Li, Haleh Akrami, Richard M. Leahy

Proceedings of the Medical Imaging 2019: Image Processing, 2019

Group-wise alignment of resting fMRI in space and time.

Haleh Akrami, Anand A. Joshi, Jian Li, Richard M. Leahy

Proceedings of the Medical Imaging 2019: Image Processing, 2019

A Matched Filter Decomposition of fMRI into Resting and Task Components.

Anand A. Joshi, Haleh Akrami, Jian Li, Richard M. Leahy

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

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

Souvik Kundu, Saurav Prakash, Haleh Akrami, Peter A. Beerel, Keith M. Chugg

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018

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

Anand A. Joshi, Jian Li, Minqi Chong, Haleh Akrami, Richard M. Leahy

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018