Haleh Akrami - RankMe

34 papers B 4Misc 3Journal 19Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Proof-of-Perception: Certified Tool-Using Multimodal Reasoning with Compositional Conformal Guarantees. CoRR Arya Fayyazi, Haleh Akrami
2025	J	`jnl`	Generalizable Representation Learning for fMRI-based Neurological Disorder Identification. Trans. Mach. Learn. Res. Wenhui Cui, Haleh Akrami, Anand A. Joshi, Richard M. Leahy
2025	J	`jnl`	Modeling and Reversing Brain Lesions Using Diffusion Models. CoRR Omar Zamzam, Haleh Akrami, Anand A. Joshi, Richard M. Leahy
2024	Misc	`conf`	Beta Quantile Regression for Robust Estimation of Uncertainty in the Presence of Outliers. ICASSP Haleh Akrami, Omar Zamzam, Anand A. Joshi, Sergül Aydöre, Richard M. Leahy
2024	J	`jnl`	Generalizable Representation Learning for fMRI-based Neurological Disorder Identification. CoRR Wenhui Cui, Haleh Akrami, Anand A. Joshi, Richard M. Leahy
2023	J	`jnl`	Beta quantile regression for robust estimation of uncertainty in the presence of outliers. CoRR Haleh Akrami, Omar Zamzam, Anand A. Joshi, Sergül Aydöre, Richard M. Leahy
2023	J	`jnl`	Learning A Disentangling Representation For PU Learning. CoRR Omar Zamzam, Haleh Akrami, Mahdi Soltanolkotabi, Richard M. Leahy
2023	Misc	`conf`	Learning From Positive and Unlabeled Data Using Observer-GAN. ICASSP Omar Zamzam, Haleh Akrami, Richard M. Leahy
2023	J	`jnl`	Meta Transfer of Self-Supervised Knowledge: Foundation Model in Action for Post-Traumatic Epilepsy Prediction. CoRR Wenhui Cui, Haleh Akrami, Ganning Zhao, Anand A. Joshi, Richard M. Leahy
2023	Misc	`conf`	Speech MOS Multi-Task Learning and Rater Bias Correction. ICASSP Haleh Akrami, Hannes Gamper
2022	J	`jnl`	A robust variational autoencoder using beta divergence. Knowl. Based Syst. Haleh Akrami, Anand A. Joshi, Jian Li, Sergül Aydöre, Richard M. Leahy
2022	J	`jnl`	Learning From Positive and Unlabeled Data Using Observer-GAN. CoRR Omar Zamzam, Haleh Akrami, Richard M. Leahy
2022	J	`jnl`	Learning from imperfect training data using a robust loss function: application to brain image segmentation. CoRR Haleh Akrami, Wenhui Cui, Anand A. Joshi, Richard M. Leahy
2022	—	`conf`	Prediction of tumor mutation burden from H&E whole-slide images: a comparison of training strategies with convolutional neural networks. Digital and Computational Pathology Antong Chen, Tosha Shah, Andrew Brown, Haleh Akrami, Albert Swiston, Amir Vajdi, Radha Krishnan, Razvan Cristescu
2022	J	`jnl`	Semi-supervised Learning using Robust Loss. CoRR Wenhui Cui, Haleh Akrami, Anand A. Joshi, Richard M. Leahy
2022	—	`conf`	Sequential Multi-task Learning for Histopathology-Based Prediction of Genetic Mutations with Extremely Imbalanced Labels. MOVI@MICCAI Haleh Akrami, Tosha Shah, Amir Vajdi, Andrew Brown, Radha Krishnan, Razvan Cristescu, Antong Chen
2022	J	`jnl`	Speech MOS multi-task learning and rater bias correction. CoRR Haleh Akrami, Hannes Gamper
2022	J	`jnl`	Toward Improved Generalization: Meta Transfer of Self-supervised Knowledge on Graphs. CoRR Wenhui Cui, Haleh Akrami, Anand A. Joshi, Richard M. Leahy
2021	B	`conf`	A pairwise approach for fMRI group studies using the BrainSync Transform. Image Processing Anand A. Joshi, Soyoung Choi, Jian Li, Haleh Akrami, Richard M. Leahy
2021	B	`conf`	Bias field correction in 3D-MRIs using convolutional autoencoders. Image Processing Shashank N. Sridhara, Haleh Akrami, Vaishnavi Krishnamurthy, Anand A. Joshi
2021	J	`jnl`	Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion Detection. CoRR Haleh Akrami, Anand A. Joshi, Sergül Aydöre, Richard M. Leahy
2021	—	`conf`	Prediction of posttraumatic epilepsy using machine learning. Biomedical Applications in Molecular, Structural, and Functional Imaging Haleh Akrami, Andrei Irimia, Wenhui Cui, Anand A. Joshi, Richard M. Leahy
2021	—	`conf`	Quantile Regression for Uncertainty Estimation in VAEs with Applications to Brain Lesion Detection. IPMI Haleh Akrami, Anand A. Joshi, Sergül Aydöre, Richard M. Leahy
2020	J	`jnl`	Addressing Variance Shrinkage in Variational Autoencoders using Quantile Regression. CoRR Haleh Akrami, Anand A. Joshi, Sergül Aydöre, Richard M. Leahy
2020	—	`conf`	Brain Lesion Detection Using A Robust Variational Autoencoder and Transfer Learning. ISBI Haleh Akrami, Anand A. Joshi, Jian Li, Sergül Aydöre, Richard M. Leahy
2020	J	`jnl`	Robust Variational Autoencoder for Tabular Data with Beta Divergence. CoRR Haleh Akrami, Sergül Aydöre, Richard M. Leahy, Anand A. Joshi
2020	J	`jnl`	fMRI-Kernel Regression: A Kernel-based Method for Pointwise Statistical Analysis of rs-fMRI for Population Studies. CoRR Anand A. Joshi, Soyoung Choi, Haleh Akrami, Richard M. Leahy
2019	—	`conf`	A Matched Filter Decomposition of fMRI into Resting and Task Components. MICCAI (3) Anand A. Joshi, Haleh Akrami, Jian Li, Richard M. Leahy
2019	J	`jnl`	A Pre-defined Sparse Kernel Based Convolution for Deep CNNs. CoRR Souvik Kundu, Saurav Prakash, Haleh Akrami, Peter A. Beerel, Keith M. Chugg
2019	B	`conf`	Group-wise alignment of resting fMRI in space and time. Image Processing Haleh Akrami, Anand A. Joshi, Jian Li, Richard M. Leahy
2019	B	`conf`	Predicting cognitive scores from resting fMRI data and geometric features of the brain. Image Processing Anand A. Joshi, Jian Li, Haleh Akrami, Richard M. Leahy
2019	J	`jnl`	Robust Variational Autoencoder. CoRR Haleh Akrami, Anand A. Joshi, Jian Li, Richard M. Leahy
2019	—	`conf`	pSConv: A Pre-defined S parse Kernel Based Convolution for Deep CNNs. Allerton Souvik Kundu, Saurav Prakash, Haleh Akrami, Peter A. Beerel, Keith M. Chugg
2018	—	`conf`	rfDemons: Resting fMRI-Based Cortical Surface Registration Using the BrainSync Transform. MICCAI (3) Anand A. Joshi, Jian Li, Minqi Chong, Haleh Akrami, Richard M. Leahy