Brian Wodlinger
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View article: TRUSWorthy: toward clinically applicable deep learning for confident detection of prostate cancer in micro-ultrasound
TRUSWorthy: toward clinically applicable deep learning for confident detection of prostate cancer in micro-ultrasound Open
View article: TRUSWorthy: Toward Clinically Applicable Deep Learning for Confident Detection of Prostate Cancer in Micro-Ultrasound
TRUSWorthy: Toward Clinically Applicable Deep Learning for Confident Detection of Prostate Cancer in Micro-Ultrasound Open
While deep learning methods have shown great promise in improving the effectiveness of prostate cancer (PCa) diagnosis by detecting suspicious lesions from trans-rectal ultrasound (TRUS), they must overcome multiple simultaneous challenges…
View article: Three-Dimensional Quantitative Elastography Using Micro-Ultrasound: Proof of Concept
Three-Dimensional Quantitative Elastography Using Micro-Ultrasound: Proof of Concept Open
View article: Calibrated Diverse Ensemble Entropy Minimization for Robust Test-Time Adaptation in Prostate Cancer Detection
Calibrated Diverse Ensemble Entropy Minimization for Robust Test-Time Adaptation in Prostate Cancer Detection Open
High resolution micro-ultrasound has demonstrated promise in real-time prostate cancer detection, with deep learning becoming a prominent tool for learning complex tissue properties reflected on ultrasound. However, a significant roadblock…
View article: Benchmarking image transformers for prostate cancer detection from ultrasound data
Benchmarking image transformers for prostate cancer detection from ultrasound data Open
PURPOSE: Deep learning methods for classifying prostate cancer (PCa) in ultrasound images typically employ convolutional networks (CNNs) to detect cancer in small regions of interest (ROI) along a needle trace region. However, this approac…
View article: TRUSformer: Improving Prostate Cancer Detection from Micro-Ultrasound Using Attention and Self-Supervision
TRUSformer: Improving Prostate Cancer Detection from Micro-Ultrasound Using Attention and Self-Supervision Open
A large body of previous machine learning methods for ultrasound-based prostate cancer detection classify small regions of interest (ROIs) of ultrasound signals that lie within a larger needle trace corresponding to a prostate tissue biops…
View article: Robotically-controlled three-dimensional micro-ultrasound for prostate biopsy guidance
Robotically-controlled three-dimensional micro-ultrasound for prostate biopsy guidance Open
Purpose Prostate imaging to guide biopsy remains unsatisfactory, with current solutions suffering from high complexity and poor accuracy and reliability. One novel entrant into this field is microultrasound (microUS), which uses a high fre…
View article: Self-Supervised Learning with Limited Labeled Data for Prostate Cancer Detection in High Frequency Ultrasound
Self-Supervised Learning with Limited Labeled Data for Prostate Cancer Detection in High Frequency Ultrasound Open
Deep learning-based analysis of high-frequency, high-resolution micro-ultrasound data shows great promise for prostate cancer detection. Previous approaches to analysis of ultrasound data largely follow a supervised learning paradigm. Grou…
View article: Towards Confident Detection of Prostate Cancer using High Resolution Micro-ultrasound
Towards Confident Detection of Prostate Cancer using High Resolution Micro-ultrasound Open
MOTIVATION: Detection of prostate cancer during transrectal ultrasound-guided biopsy is challenging. The highly heterogeneous appearance of cancer, presence of ultrasound artefacts, and noise all contribute to these difficulties. Recent ad…
View article: Comparing Micro-Ultrasound to mpMRI in Detecting Clinically Significant Prostate Cancer
Comparing Micro-Ultrasound to mpMRI in Detecting Clinically Significant Prostate Cancer Open
Objectives To compare the performance of micro-ultrasound (mUS) with multi-parametric magnetic resonance imaging (mpMRI) in detecting clinically significant prostate cancer. Materials and Methods Retrospective data from consecutive patient…
View article: Prostate “Mapeo” for cancer diagnosis: The Madrid protocol. Transperineal prostate biopsies combining Micro-ultrasound and mpMRI fusion biopsy.
Prostate “Mapeo” for cancer diagnosis: The Madrid protocol. Transperineal prostate biopsies combining Micro-ultrasound and mpMRI fusion biopsy. Open
View article: Comparison of conventional transrectal ultrasound, magnetic resonance imaging, and micro-ultrasound for visualizing prostate cancer in an active surveillance population: A feasibility study
Comparison of conventional transrectal ultrasound, magnetic resonance imaging, and micro-ultrasound for visualizing prostate cancer in an active surveillance population: A feasibility study Open
Introduction: Active surveillance monitoring of prostate cancer is unique in that most patients have low-grade disease that is not well-visualized by any common imaging technique. High-resolution (29 MHz) micro-ultrasound is a new, real-ti…