Haleh Akrami

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 29

Top Topics

Lesion Detection

Quantile Regression

Cortical Surface

Top Venues

Medical Imaging: Image Processing

Publications

Haleh Akrami, Omar Zamzam, Anand A. Joshi, Sergül Aydöre, Richard M. Leahy
Beta Quantile Regression for Robust Estimation of Uncertainty in the Presence of Outliers. ICASSP (2024)
Omar Zamzam, Haleh Akrami, Mahdi Soltanolkotabi, Richard M. Leahy
Learning A Disentangling Representation For PU Learning. CoRR (2023)
Wenhui Cui, Haleh Akrami, Ganning Zhao, Anand A. Joshi, Richard M. Leahy
Meta Transfer of Self-Supervised Knowledge: Foundation Model in Action for Post-Traumatic Epilepsy Prediction. CoRR (2023)
Haleh Akrami, Omar Zamzam, Anand A. Joshi, Sergül Aydöre, Richard M. Leahy
Beta quantile regression for robust estimation of uncertainty in the presence of outliers. CoRR (2023)
Haleh Akrami, Hannes Gamper
Speech MOS Multi-Task Learning and Rater Bias Correction. ICASSP (2023)
Omar Zamzam, Haleh Akrami, Richard M. Leahy
Learning From Positive and Unlabeled Data Using Observer-GAN. ICASSP (2023)
Wenhui Cui, Haleh Akrami, Anand A. Joshi, Richard M. Leahy
Semi-supervised Learning using Robust Loss. CoRR (2022)
Wenhui Cui, Haleh Akrami, Anand A. Joshi, Richard M. Leahy
Toward Improved Generalization: Meta Transfer of Self-supervised Knowledge on Graphs. CoRR (2022)
Haleh Akrami, Hannes Gamper
Speech MOS multi-task learning and rater bias correction. CoRR (2022)
Haleh Akrami, Tosha Shah, Amir Vajdi, Andrew Brown, Radha Krishnan, Razvan Cristescu, Antong Chen
Sequential Multi-task Learning for Histopathology-Based Prediction of Genetic Mutations with Extremely Imbalanced Labels. MOVI@MICCAI (2022)
Haleh Akrami, Anand A. Joshi, Jian Li, Sergül Aydöre, Richard M. Leahy
A robust variational autoencoder using beta divergence. Knowl. Based Syst. 238 (2022)
Omar Zamzam, Haleh Akrami, Richard M. Leahy
Learning From Positive and Unlabeled Data Using Observer-GAN. CoRR (2022)
Haleh Akrami, Wenhui Cui, Anand A. Joshi, Richard M. Leahy
Learning from imperfect training data using a robust loss function: application to brain image segmentation. CoRR (2022)
Shashank N. Sridhara, Haleh Akrami, Vaishnavi Krishnamurthy, Anand A. Joshi
Bias field correction in 3D-MRIs using convolutional autoencoders. Medical Imaging: Image Processing (2021)
Haleh Akrami, Anand A. Joshi, Sergül Aydöre, Richard M. Leahy
Quantile Regression for Uncertainty Estimation in VAEs with Applications to Brain Lesion Detection. IPMI (2021)
Haleh Akrami, Andrei Irimia, Wenhui Cui, Anand A. Joshi, Richard M. Leahy
Prediction of posttraumatic epilepsy using machine learning. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2021)
Haleh Akrami, Anand A. Joshi, Sergül Aydöre, Richard M. Leahy
Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion Detection. CoRR (2021)
Anand A. Joshi, Soyoung Choi, Jian Li, Haleh Akrami, Richard M. Leahy
A pairwise approach for fMRI group studies using the BrainSync Transform. Medical Imaging: Image Processing (2021)
Haleh Akrami, Anand A. Joshi, Jian Li, Sergül Aydöre, Richard M. Leahy
Brain Lesion Detection Using A Robust Variational Autoencoder and Transfer Learning. ISBI (2020)
Anand A. Joshi, Soyoung Choi, Haleh Akrami, Richard M. Leahy
fMRI-Kernel Regression: A Kernel-based Method for Pointwise Statistical Analysis of rs-fMRI for Population Studies. CoRR (2020)
Haleh Akrami, Anand A. Joshi, Sergül Aydöre, Richard M. Leahy
Addressing Variance Shrinkage in Variational Autoencoders using Quantile Regression. CoRR (2020)
Haleh Akrami, Sergül Aydöre, Richard M. Leahy, Anand A. Joshi
Robust Variational Autoencoder for Tabular Data with Beta Divergence. CoRR (2020)
Haleh Akrami, Anand A. Joshi, Jian Li, Richard M. Leahy
Group-wise alignment of resting fMRI in space and time. Medical Imaging: Image Processing (2019)
Souvik Kundu, Saurav Prakash, Haleh Akrami, Peter A. Beerel, Keith M. Chugg
A Pre-defined Sparse Kernel Based Convolution for Deep CNNs. CoRR (2019)
Souvik Kundu, Saurav Prakash, Haleh Akrami, Peter A. Beerel, Keith M. Chugg
pSConv: A Pre-defined S parse Kernel Based Convolution for Deep CNNs. Allerton (2019)
Anand A. Joshi, Jian Li, Haleh Akrami, Richard M. Leahy
Predicting cognitive scores from resting fMRI data and geometric features of the brain. Medical Imaging: Image Processing (2019)
Haleh Akrami, Anand A. Joshi, Jian Li, Richard M. Leahy
Robust Variational Autoencoder. CoRR (2019)
Anand A. Joshi, Haleh Akrami, Jian Li, Richard M. Leahy
A Matched Filter Decomposition of fMRI into Resting and Task Components. MICCAI (3) (2019)
Anand A. Joshi, Jian Li, Minqi Chong, Haleh Akrami, Richard M. Leahy
rfDemons: Resting fMRI-Based Cortical Surface Registration Using the BrainSync Transform. MICCAI (3) (2018)