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Article
Toward confident prostate cancer detection using ultrasound: a multi-center study
Deep learning-based analysis of micro-ultrasound images to detect cancerous lesions is a promising tool for improving prostate cancer (PCa) diagnosis. An ideal model should confidently identify cancer while re...
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Article
TRUSformer: improving prostate cancer detection from micro-ultrasound using attention and self-supervision
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 correspond...
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Article
Robotically controlled three-dimensional micro-ultrasound for prostate biopsy guidance
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 micro-ultrasound (microUS)...
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Chapter and Conference Paper
Towards Confident Detection of Prostate Cancer Using High Resolution Micro-ultrasound
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...
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Reference Work Entry In depth
Peripheral Nerve Signal Processing, Source Localization
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Reference Work Entry In depth
Peripheral Nerve Interfaces: Overview
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Reference Work Entry In depth
Peripheral Nerve Signal Processing, Source Localization
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Reference Work Entry In depth
Peripheral Nerve Interfaces: Overview
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Living Reference Work Entry In depth
Peripheral Nerve Signal Processing, Source Localization
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Chapter
Neural Interfacing with the Peripheral Nervous System: A FINE Approach
Functional electrical stimulation (FES) can restore neural functions such as volitional motion to patients with neurological injuries or diseases, and effective and safe neural interfaces with peripheral nerve...