Ethan Leng
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View article: Predictive models for social functioning in healthy young adults: A machine learning study integrating neuroanatomical, cognitive, and behavioral data
Predictive models for social functioning in healthy young adults: A machine learning study integrating neuroanatomical, cognitive, and behavioral data Open
Poor social functioning is an emerging public health problem associated with physical and mental health consequences. Developing prognostic tools is critical to identify individuals at risk for poor social functioning and guide interventio…
View article: Multi-resolution super learner for voxel-wise classification of prostate cancer using multi-parametric MRI
Multi-resolution super learner for voxel-wise classification of prostate cancer using multi-parametric MRI Open
Multi-parametric MRI (mpMRI) is a critical tool in prostate cancer (PCa) diagnosis and management. To further advance the use of mpMRI in patient care, computer aided diagnostic methods are under continuous development for supporting/suppl…
View article: A Novel Bayesian Functional Spatial Partitioning Method with Application to Prostate Cancer Lesion Detection Using MRI
A Novel Bayesian Functional Spatial Partitioning Method with Application to Prostate Cancer Lesion Detection Using MRI Open
Spatial partitioning methods correct for nonstationarity in spatially related data by partitioning the space into regions of local stationarity. Existing spatial partitioning methods can only estimate linear partitioning boundaries. This i…
View article: Bayesian spatial models for voxel‐wise prostate cancer classification using multi‐parametric magnetic resonance imaging data
Bayesian spatial models for voxel‐wise prostate cancer classification using multi‐parametric magnetic resonance imaging data Open
Multi‐parametric magnetic resonance imaging (mpMRI) has been playing an increasingly important role in the detection of prostate cancer (PCa). Various computer‐aided detection algorithms were proposed for automated PCa detection by combini…
View article: Training Convolutional Networks for Prostate Segmentation With Limited Data
Training Convolutional Networks for Prostate Segmentation With Limited Data Open
Multi-zonal segmentation is a critical component of computer-aided diagnostic systems for detecting and staging prostate cancer. Previously, convolutional neural networks such as the U-Net have been used to produce fully automatic multi-zo…
View article: Multi-resolution Super Learner for Voxel-wise Classification of Prostate Cancer Using Multi-parametric MRI
Multi-resolution Super Learner for Voxel-wise Classification of Prostate Cancer Using Multi-parametric MRI Open
While current research has shown the importance of Multi-parametric MRI (mpMRI) in diagnosing prostate cancer (PCa), further investigation is needed for how to incorporate the specific structures of the mpMRI data, such as the regional het…
View article: Computer-aided diagnosis of prostate cancer with multiparametric MRI
Computer-aided diagnosis of prostate cancer with multiparametric MRI Open
University of Minnesota Ph.D. dissertation. July 2020. Major: Biomedical Engineering. Advisor: Gregory Metzger. 1 computer file (PDF); x, 164 pages.
View article: 4159 Prostate cancer multiparametric MRI comparison study of 3T versus 7T in terms of lesion detection and image quality
4159 Prostate cancer multiparametric MRI comparison study of 3T versus 7T in terms of lesion detection and image quality Open
OBJECTIVES/GOALS: The goal of this study was to perform a comparative, multi-reader, retrospective clinical evaluation of prostate multiparametric MRI (mpMRI) at 3 Tesla (3T) vs. 7 Tesla (7T) primarily in terms of prostate cancer localizat…
View article: Bayesian Spatial Models for Voxel-wise Prostate Cancer Classification Using Multi-parametric MRI Data
Bayesian Spatial Models for Voxel-wise Prostate Cancer Classification Using Multi-parametric MRI Data Open
Multi-parametric magnetic resonance imaging (mpMRI) plays an increasingly important role in the diagnosis of prostate cancer. Various computer-aided detection algorithms have been proposed for automated prostate cancer detection by combini…
View article: Signature maps for automatic identification of prostate cancer from colorimetric analysis of H&E- and IHC-stained histopathological specimens
Signature maps for automatic identification of prostate cancer from colorimetric analysis of H&E- and IHC-stained histopathological specimens Open
Prostate cancer (PCa) is a major cause of cancer death among men. The histopathological examination of post-surgical prostate specimens and manual annotation of PCa not only allow for detailed assessment of disease characteristics and exte…
View article: Detection of prostate cancer with multiparametric MRI utilizing the anatomic structure of the prostate
Detection of prostate cancer with multiparametric MRI utilizing the anatomic structure of the prostate Open
Multiparametric magnetic resonance imaging (mpMRI), which combines traditional anatomic and newer quantitative MRI methods, has been shown to result in improved voxel‐wise classification of prostate cancer as compared with any single MRI p…
View article: Development of a measure for evaluating lesion‐wise performance of CAD algorithms in the context of mpMRI detection of prostate cancer
Development of a measure for evaluating lesion‐wise performance of CAD algorithms in the context of mpMRI detection of prostate cancer Open
Purpose Computer‐aided detection/diagnosis (CAD) of prostate cancer (PCa) on multiparametric MRI (mpMRI) is an active area of research. In the literature, the performance of predictive models trained to detect PCa on mpMRI has typically be…