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Article
Transition-zone PSA-density calculated from MRI deep learning prostate zonal segmentation model for prediction of clinically significant prostate cancer
To develop a deep learning (DL) zonal segmentation model of prostate MR from T2-weighted images and evaluate TZ-PSAD for prediction of the presence of csPCa (Gleason score of 7 or higher) compared to PSAD.
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Article
Decreased prostate MRI cancer detection rate due to moderate to severe susceptibility artifacts from hip prosthesis
To evaluate the impact of susceptibility artifacts from hip prosthesis on cancer detection rate (CDR) in prostate MRI.
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Article
Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review
Since 2000, there have been more than 8000 publications on radiology artificial intelligence (AI). AI breakthroughs allow complex tasks to be automated and even performed beyond human capabilities. However, th...
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Chapter and Conference Paper
Class Specific Feature Disentanglement and Text Embeddings for Multi-label Generalized Zero Shot CXR Classification
Robustness of medical image classification models is limited by its exposure to the candidate disease classes. Generalized zero shot learning (GZSL) aims at correctly predicting seen and unseen classes and mos...
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Article
Multi-path dilated convolution network for haze and glow removal in nighttime images
In this paper, we address the single-image haze removal problem in nighttime scenes. The night haze removal is a severely ill-posed problem due to the presence of various visible night light sources with varyi...
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Chapter and Conference Paper
Self-supervised Learning of Inter-label Geometric Relationships for Gleason Grade Segmentation
Segmentation of Prostate Cancer (PCa) tissues from Gleason graded histopathology images is vital for accurate diagnosis. Although deep learning (DL) based segmentation methods achieve state-of-the-art accuracy...
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Chapter and Conference Paper
Self-supervised Multimodal Generalized Zero Shot Learning for Gleason Grading
Gleason grading from histopathology images is essential for accurate prostate cancer (PCa) diagnosis. Since such images are obtained after invasive tissue resection quick diagnosis is challenging under the exi...
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Article
Adaptive CU Mode Selection in HEVC Intra Prediction: A Deep Learning Approach
The computational time of HEVC encoder is increased mainly because of the hierarchical quad-tree-based structure, recursive coding units, and the exhaustive prediction search up to 35 modes. These advances imp...