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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

* 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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Prostate Cancer Detection using Deep Convolutional Neural Networks

May 30, 2019
Sunghwan Yoo, Isha Gujrathi, Masoom A. Haider, Farzad Khalvati


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Improving Prognostic Value of CT Deep Radiomic Features in Pancreatic Ductal Adenocarcinoma Using Transfer Learning

May 23, 2019
Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider, Farzad Khalvati


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ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks

Nov 21, 2018
Xiaodan Hu, Audrey G. Chung, Paul Fieguth, Farzad Khalvati, Masoom A. Haider, Alexander Wong

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216 

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Discovery Radiomics via Evolutionary Deep Radiomic Sequencer Discovery for Pathologically-Proven Lung Cancer Detection

Oct 20, 2017
Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Masoom A. Haider, Alexander Wong

* 26 pages 

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Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction

Mar 28, 2017
Devinder Kumar, Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Masoom A. Haider, Alexander Wong

* 8 pages 

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Noise-Compensated, Bias-Corrected Diffusion Weighted Endorectal Magnetic Resonance Imaging via a Stochastically Fully-Connected Joint Conditional Random Field Model

Jul 05, 2016
Ameneh Boroomand, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Alexander Wong

* 11 pages 

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Sparse Reconstruction of Compressive Sensing MRI using Cross-Domain Stochastically Fully Connected Conditional Random Fields

Dec 25, 2015
Edward Li, Farzad Khalvati, Mohammad Javad Shafiee, Masoom A. Haider, Alexander Wong

* 9 pages 

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Discovery Radiomics via StochasticNet Sequencers for Cancer Detection

Nov 11, 2015
Mohammad Javad Shafiee, Audrey G. Chung, Devinder Kumar, Farzad Khalvati, Masoom Haider, Alexander Wong

* 3 pages 

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Discovery Radiomics for Multi-Parametric MRI Prostate Cancer Detection

Oct 20, 2015
Audrey G. Chung, Mohammad Javad Shafiee, Devinder Kumar, Farzad Khalvati, Masoom A. Haider, Alexander Wong

* 8 pages 

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Medical Image Classification via SVM using LBP Features from Saliency-Based Folded Data

Sep 15, 2015
Zehra Camlica, H. R. Tizhoosh, Farzad Khalvati

* To appear in proceedings of The 14th International Conference on Machine Learning and Applications (IEEE ICMLA 2015), Miami, Florida, USA, 2015 

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Autoencoding the Retrieval Relevance of Medical Images

Jul 05, 2015
Zehra Camlica, H. R. Tizhoosh, Farzad Khalvati

* To appear in proceedings of The 5th International Conference on Image Processing Theory, Tools and Applications (IPTA'15), Nov 10-13, 2015, Orleans, France 

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Evolving Fuzzy Image Segmentation with Self-Configuration

Apr 23, 2015
Ahmed Othman, Hamid R. Tizhoosh, Farzad Khalvati

* Benchmark data (35 breast ultrasound images with gold standard segments) available; 11 pages, 4 algorithms, 6 figures, 5 tables; 

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