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06/08/2020
A Modified AUC for Training Convolutional Neural Networks: Taking Confidence into Account
Receiver operating characteristic (ROC) curve is an informative tool in ...
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06/01/2020
A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-weighted MRI using Convolutional Neural Networks
Data augmentation refers to a group of techniques whose goal is to battl...
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11/04/2019
Evolution-based Fine-tuning of CNNs for Prostate Cancer Detection
Convolutional Neural Networks (CNNs) have been used for automated detect...
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09/20/2019
A Transfer Learning Approach for Automated Segmentation of Prostate Whole Gland and Transition Zone in Diffusion Weighted MRI
The segmentation of prostate whole gland and transition zone in Diffusio...
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07/10/2019
Improving Prognostic Performance in Resectable Pancreatic Ductal Adenocarcinoma using Radiomics and Deep Learning Features Fusion in CT Images
As an analytic pipeline for quantitative imaging feature extraction and ...
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06/25/2019
CNN-based Survival Model for Pancreatic Ductal Adenocarcinoma in Medical Imaging
Cox proportional hazard model (CPH) is commonly used in clinical researc...
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05/30/2019
Prostate Cancer Detection using Deep Convolutional Neural Networks
Prostate cancer is one of the most common forms of cancer and the third ...
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05/23/2019
Improving Prognostic Value of CT Deep Radiomic Features in Pancreatic Ductal Adenocarcinoma Using Transfer Learning
Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive ca...
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11/14/2018
ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks
Generative Adversarial Networks (GANs) have shown considerable promise f...
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05/10/2017
Discovery Radiomics via Evolutionary Deep Radiomic Sequencer Discovery for Pathologically-Proven Lung Cancer Detection
While lung cancer is the second most diagnosed form of cancer in men and...
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12/25/2015
Sparse Reconstruction of Compressive Sensing MRI using Cross-Domain Stochastically Fully Connected Conditional Random Fields
Magnetic Resonance Imaging (MRI) is a crucial medical imaging technology...
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12/15/2015
Noise-Compensated, Bias-Corrected Diffusion Weighted Endorectal Magnetic Resonance Imaging via a Stochastically Fully-Connected Joint Conditional Random Field Model
Diffusion weighted magnetic resonance imaging (DW-MR) is a powerful tool...
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09/01/2015
Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction
Lung cancer is the leading cause for cancer related deaths. As such, the...
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09/01/2015