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Evaluating Knowledge Transfer in Neural Network for Medical Images


Sep 17, 2020
Sina Akbarian, Laleh Seyyed-Kalantari, Farzad Khalvati, Elham Dolatabadi

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* Under Review 

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Evaluating Knowledge Transfer In Neural Network for Medical Images


Aug 31, 2020
Sina Akbarian, Laleh Seyyed-Kalantari, Farzad Khalvati, Elham Dolatabadi

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* Under Review 

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A Brief Review of Deep Multi-task Learning and Auxiliary Task Learning


Jul 02, 2020
Partoo Vafaeikia, Khashayar Namdar, Farzad Khalvati

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A Modified AUC for Training Convolutional Neural Networks: Taking Confidence into Account


Jun 08, 2020
Khashayar Namdar, Masoom A. Haider, Farzad Khalvati

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Inception Augmentation Generative Adversarial Network


Jun 05, 2020
Saman Motamed, Farzad Khalvati

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A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-weighted MRI using Convolutional Neural Networks


Jun 01, 2020
Ruqian Hao, Khashayar Namdar, Lin Liu, Masoom A. Haider, Farzad Khalvati

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Evolution-based Fine-tuning of CNNs for Prostate Cancer Detection


Nov 04, 2019
Khashayar Namdar, Isha Gujrathi, Masoom A. Haider, Farzad Khalvati

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* Accepted for the 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Medical Imaging Meets NEURIPS Workshop 

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A Transfer Learning Approach for Automated Segmentation of Prostate Whole Gland and Transition Zone in Diffusion Weighted MRI


Sep 20, 2019
Saman Motamed, Isha Gujrathi, Dominik Deniffel, Anton Oentoro, Masoom A. Haider, Farzad Khalvati

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Improving Prognostic Performance in Resectable Pancreatic Ductal Adenocarcinoma using Radiomics and Deep Learning Features Fusion in CT Images


Jul 10, 2019
Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider, Farzad Khalvati

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CNN-based Survival Model for Pancreatic Ductal Adenocarcinoma in Medical Imaging


Jun 25, 2019
Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider, Farzad Khalvati

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