AIMC Topic: Software Validation

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Adversarial perturbation and defense for generalizable person re-identification.

Neural networks : the official journal of the International Neural Network Society Feb 22, 2025
In the Domain Generalizable Person Re-Identification (DG Re-ID) task, the quality of identity-relevant descriptor is crucial for domain generalization performance. However, for hard-matching samples, it is difficult to separate high-quality identity-...
Deep Learning Convolutional Neural Networks Software Validation Detection Algorithms Semantics Biometric Identification
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A fully automated artificial intelligence-driven software for planning of transcatheter aortic valve replacement.

Cardiovascular revascularization medicine : including molecular interventions Mar 7, 2024
BACKGROUND: Transcatheter aortic valve replacement (TAVR) is increasingly performed for the treatment of aortic stenosis. Computed tomography (CT) analysis is essential for pre-procedural planning. Currently available software packages for TAVR plann...
Humans Aortic Valve Stenosis Aortic Valve Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Artificial Intelligence Software Reproducibility of Results Software Validation Multidetector Computed Tomography Prosthesis Design Heart Valve Prosthesis Observer Variation Transcatheter Aortic Valve Replacement Automation
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Efficient Computation Reduction in Bayesian Neural Networks Through Feature Decomposition and Memorization.

IEEE transactions on neural networks and learning systems Apr 2, 2021
The Bayesian method is capable of capturing real-world uncertainties/incompleteness and properly addressing the overfitting issue faced by deep neural networks. In recent years, Bayesian neural networks (BNNs) have drawn tremendous attention to artif...
Memory Software Validation Deep Learning Computer Systems Bayes Theorem Humans Neural Networks, Computer Algorithms Computers Artificial Intelligence Software
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MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning.

BMC medical imaging Jan 18, 2021
BACKGROUND: The increased availability and usage of modern medical imaging induced a strong need for automatic medical image segmentation. Still, current image segmentation platforms do not provide the required functionalities for plain setup of medi...
Software Validation Image Processing, Computer-Assisted Kidney Neoplasms Software Design Humans Neural Networks, Computer Deep Learning
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Evaluation of a delineation software for cardiac atlas-based autosegmentation: An example of the use of artificial intelligence in modern radiotherapy.

Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique Nov 2, 2020
PURPOSE: The primary objective of this work was to implement and evaluate a cardiac atlas-based autosegmentation technique based on the "Workflow Box" software (Mirada Medical, Oxford UK), in order to delineate cardiac substructures according to Euro...
Female Heart Artificial Intelligence Humans Heart Ventricles Software Software Validation Radiation Injuries Unilateral Breast Neoplasms Medical Illustration
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A systematic review of fuzzing based on machine learning techniques.

PloS one Aug 18, 2020
Security vulnerabilities play a vital role in network security system. Fuzzing technology is widely used as a vulnerability discovery technology to reduce damage in advance. However, traditional fuzz testing faces many challenges, such as how to muta...
Software Validation Machine Learning Computer Security
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Unlocking echocardiogram measurements for heart disease research through natural language processing.

BMC cardiovascular disorders Jun 12, 2017
BACKGROUND: In order to investigate the mechanisms of cardiovascular disease in HIV infected and uninfected patients, an analysis of echocardiogram reports is required for a large longitudinal multi-center study.
Feasibility Studies Heart Failure Data Mining Terminology as Topic Veterans Health Automation Pattern Recognition, Automated Longitudinal Studies Predictive Value of Tests Natural Language Processing Databases, Factual Stroke Volume Retrospective Studies Echocardiography Reproducibility of Results Software Validation HIV Infections Humans Ventricular Function, Left
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Comparison of Planning Quality and Efficiency Between Conventional and Knowledge-based Algorithms in Nasopharyngeal Cancer Patients Using Intensity Modulated Radiation Therapy.

International journal of radiation oncology, biology, physics Feb 12, 2016
PURPOSE: Intensity modulated radiation therapy (IMRT) is widely used to achieve a highly conformal dose and improve treatment outcome. However, plan quality and planning time are institute and planner dependent, and no standardized tool exists to rec...
Radiotherapy Planning, Computer-Assisted Humans Radiotherapy, Conformal Radiotherapy Dosage Sensitivity and Specificity Nasopharyngeal Neoplasms Software User-Computer Interface Treatment Outcome Software Validation Reproducibility of Results Workload Knowledge Bases
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Supporting information retrieval from electronic health records: A report of University of Michigan's nine-year experience in developing and using the Electronic Medical Record Search Engine (EMERSE).

Journal of biomedical informatics May 13, 2015
OBJECTIVE: This paper describes the University of Michigan's nine-year experience in developing and using a full-text search engine designed to facilitate information retrieval (IR) from narrative documents stored in electronic health records (EHRs)....
Meaningful Use Data Mining Software Software Validation Michigan Search Engine Electronic Health Records Natural Language Processing
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Ultrasound-based deep learning radiomics for enhanced axillary lymph node metastasis assessment: a multicenter study.

The oncologist May 8, 2025
BACKGROUND: Accurate preoperative assessment of axillary lymph node metastasis (ALNM) in breast cancer is crucial for guiding treatment decisions. This study aimed to develop a deep-learning radiomics model for assessing ALNM and to evaluate its impa...
Aged Adult Breast Neoplasms Radiomics Humans Lymph Nodes Prospective Studies Middle Aged Lymphatic Metastasis Female Axilla Deep Learning Software Validation Ultrasonography
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