Search Results - "Adeli, Ehsan"

Training confounder-free deep learning models for medical applications by Zhao, Qingyu, Adeli, Ehsan, Pohl, Kilian M.

“…The presence of confounding effects (or biases) is one of the most critical challenges in using deep learning to advance discovery in medical imaging studies…”
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Adversarially Learned One-Class Classifier for Novelty Detection by Sabokrou, Mohammad, Khalooei, Mohammad, Fathy, Mahmood, Adeli, Ehsan

“…Novelty detection is the process of identifying the observation(s) that differ in some respect from the training observations (the target class). In reality,…”
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3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients by Nie, Dong, Zhang, Han, Adeli, Ehsan, Liu, Luyan, Shen, Dinggang

“…High-grade glioma is the most aggressive and severe brain tumor that leads to death of almost 50% patients in 1-2 years. Thus, accurate prognosis for glioma…”
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Multi-Channel 3D Deep Feature Learning for Survival Time Prediction of Brain Tumor Patients Using Multi-Modal Neuroimages by Nie, Dong, Lu, Junfeng, Zhang, Han, Adeli, Ehsan, Wang, Jun, Yu, Zhengda, Liu, LuYan, Wang, Qian, Wu, Jinsong, Shen, Dinggang

“…High-grade gliomas are the most aggressive malignant brain tumors. Accurate pre-operative prognosis for this cohort can lead to better treatment planning…”
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Preparation and evaluation of azithromycin binary solid dispersions using various polyethylene glycols for the improvement of the drug solubility and dissolution rate by Adeli, Ehsan

“…ABSTRACT Azithromycin is a water-insoluble drug, with a very low bioavailability. In order to increase the solubility and dissolution rate, and consequently…”
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3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation by Nie, Dong, Wang, Li, Adeli, Ehsan, Lao, Cuijin, Lin, Weili, Shen, Dinggang

“…Accurate segmentation of infant brain images into different regions of interest is one of the most important fundamental steps in studying early brain…”
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Prediction of significant wave height using regressive support vector machines by Mahjoobi, J., Adeli Mosabbeb, Ehsan

“…Wave parameters prediction is an important issue in coastal and offshore engineering. In this literature, several models and methods are introduced. In the…”
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Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data by Adeli, Ehsan, Shi, Feng, An, Le, Wee, Chong-Yaw, Wu, Guorong, Wang, Tao, Shen, Dinggang

“…Parkinson's disease (PD) is an overwhelming neurodegenerative disorder caused by deterioration of a neurotransmitter, known as dopamine. Lack of this chemical…”
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Self-Supervised Representation Learning via Neighborhood-Relational Encoding by Sabokrou, Mohammad, Khalooei, Mohammad, Adeli, Ehsan

“…In this paper, we propose a novel self-supervised representation learning by taking advantage of a neighborhood-relational encoding (NRE) among the training…”
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FCN Based Label Correction for Multi-Atlas Guided Organ Segmentation by Zhu, Hancan, Adeli, Ehsan, Shi, Feng, Shen, Dinggang

“…Segmentation of medical images using multiple atlases has recently gained immense attention due to their augmented robustness against variabilities across…”
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Deep learning identifies morphological determinants of sex differences in the pre-adolescent brain by Adeli, Ehsan, Zhao, Qingyu, Zahr, Natalie M., Goldstone, Aimee, Pfefferbaum, Adolf, Sullivan, Edith V., Pohl, Kilian M.

“…•We proposed a deep learning approach to identify sex differences in developing brain structures of pre-adolescents.•We used a large cohort of (N=8,144; age 9…”
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Imitation Learning for Human Pose Prediction by Wang, Borui, Adeli, Ehsan, Chiu, Hsu-Kuang, Huang, De-An, Niebles, Juan Carlos

“…Modeling and prediction of human motion dynamics has long been a challenging problem in computer vision, and most existing methods rely on the end-to-end…”
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Cascaded MultiTask 3-D Fully Convolutional Networks for Pancreas Segmentation by Xue, Jie, He, Kelei, Nie, Dong, Adeli, Ehsan, Shi, Zhenshan, Lee, Seong-Whan, Zheng, Yuanjie, Liu, Xiyu, Li, Dengwang, Shen, Dinggang

“…Automatic pancreas segmentation is crucial to the diagnostic assessment of diabetes or pancreatic cancer. However, the relatively small size of the pancreas in…”
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Skeleton-based structured early activity prediction by Arzani, Mohammad M., Fathy, Mahmood, Azirani, Ahmad A., Adeli, Ehsan

“…To communicate with people, robots and vision-based interactive systems often need to understand human activities in advance before the activity is performed…”
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Multi-view human activity recognition in distributed camera sensor networks by Mosabbeb, Ehsan Adeli, Raahemifar, Kaamran, Fathy, Mahmood

“…With the increasing demand on the usage of smart and networked cameras in intelligent and ambient technology environments, development of algorithms for such…”
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A Hierarchical Feature and Sample Selection Framework and Its Application for Alzheimer’s Disease Diagnosis by An, Le, Adeli, Ehsan, Liu, Mingxia, Zhang, Jun, Lee, Seong-Whan, Shen, Dinggang

“…Classification is one of the most important tasks in machine learning. Due to feature redundancy or outliers in samples, using all available data for training…”
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Bayesian Parameter Determination of a CT-Test Described by a Viscoplastic-Damage Model Considering the Model Error by Adeli, Ehsan, Rosić, Bojana, Matthies, Hermann G., Reinstädler, Sven, Dinkler, Dieter

“…The state of materials and accordingly the properties of structures are changing over the period of use, which may influence the reliability and quality of the…”
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Comparison of Bayesian Methods on Parameter Identification for a Viscoplastic Model with Damage by Adeli, Ehsan, Rosić, Bojana, Matthies, Hermann G., Reinstädler, Sven, Dinkler, Dieter

“…The state of materials and accordingly the properties of structures are changing over the period of use, which may influence the reliability and quality of the…”
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CCA identifies a neurophysiological marker of adaptation capacity that is reliably linked to internal locus of control of cognition in amnestic MCI by Peralta-Malváez, Lizbeth, Turnbull, Adam, Anthony, Mia, Adeli, Ehsan, Lin, F. Vankee

“…Locus of control (LOC) describes whether an individual thinks that they themselves (internal LOC) or external factors (external LOC) have more influence on…”
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The Transition From Homogeneous to Heterogeneous Machine Learning in Neuropsychiatric Research by Zhao, Qingyu, Nooner, Kate B., Tapert, Susan F., Adeli, Ehsan, Pohl, Kilian M., Kuceyeski, Amy, Sabuncu, Mert R.

“…Despite the advantage of neuroimaging-based machine learning (ML) models as pivotal tools for investigating brain-behavior relationships in neuropsychiatric…”
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