Seeing more with less: virtual gadolinium-enhanced glioma imaging

QR Code

Seeing more with less: virtual gadolinium-enhanced glioma imaging

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Alexandros Ferles, Frederik Barkhof
Format:	article
Langue:	EN
Publié:	Elsevier 2021
Sujets:	Computer applications to medicine. Medical informatics R858-859.7
Accès en ligne:	https://doaj.org/article/d0a90fba38f54bba8eadba2afe5bd5d3
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Seeing other perspectives: evaluating the use of virtual and augmented reality to simulate visual impairments (OpenVisSim)
par: Pete R. Jones, et autres
Publié: (2020)

Channel management in virtual care
par: Matt Desruisseaux, et autres
Publié: (2020)

Virtual care models for cancer survivorship
par: Quynh Pham, et autres
Publié: (2020)

Telephone, video, equity and access in virtual care
par: Tyla Thomas-Jacques, et autres
Publié: (2021)

Image Enhancement Model Based on Deep Learning Applied to the Ureteroscopic Diagnosis of Ureteral Stones during Pregnancy
par: Xiao-Yan Miao, et autres
Publié: (2021)

Backslide or forward progress? Virtual care at U.S. healthcare systems beyond the COVID-19 pandemic
par: Spencer D. Dorn
Publié: (2021)

Responses to addiction help-seeking from Alexa, Siri, Google Assistant, Cortana, and Bixby intelligent virtual assistants
par: Alicia L. Nobles, et autres
Publié: (2020)

Smartphone application improves fertility treatment-related literacy in a large-scale virtual randomized controlled trial in Japan
par: Ryo Yokomizo, et autres
Publié: (2021)

Effectiveness of a stand-alone, smartphone-based virtual reality exposure app to reduce fear of heights in real-life: a randomized trial
par: Dorothée Bentz, et autres
Publié: (2021)

Analysis on Characteristics of Magnetic Resonance Imaging Image under Low-Rank Matrix Denoising Algorithm in the Diagnosis of Cerebral Aneurysm
par: Jun Li, et autres
Publié: (2021)

Full-waveform inversion imaging of the human brain
par: Lluís Guasch, et autres
Publié: (2020)

Medical Image Diagnostic Value of Computed Tomography for Bladder Tumors
par: Lin Li, et autres
Publié: (2021)

Accurate diagnosis of lymphoma on whole-slide histopathology images using deep learning
par: Charlotte Syrykh, et autres
Publié: (2020)

Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy
par: Michelle Y. T. Yip, et autres
Publié: (2020)

Performance evaluation of a prescription medication image classification model: an observational cohort
par: Corey A. Lester, et autres
Publié: (2021)

Overcoming barriers to data sharing with medical image generation: a comprehensive evaluation
par: August DuMont Schütte, et autres
Publié: (2021)

AI-based analysis of CT images for rapid triage of COVID-19 patients
par: Qinmei Xu, et autres
Publié: (2021)

Towards computationally efficient prediction of molecular signatures from routine histology images
par: Maxime W Lafarge, et autres
Publié: (2021)

Meta-Analysis of Contrast Enhanced Ultrasound in Judging Benign and Malignant Thyroid Tumors
par: Qing Wan, et autres
Publié: (2021)

A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data
par: Gabriel Alexander Salg, et autres
Publié: (2021)

Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging
par: Matthew D. Li, et autres
Publié: (2020)

Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis
par: Ravi Aggarwal, et autres
Publié: (2021)

Automated identification of clinical features from sparsely annotated 3-dimensional medical imaging
par: Nadav Rakocz, et autres
Publié: (2021)

Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning
par: Bernhard Kainz, et autres
Publié: (2021)

Deep Learning Algorithm for COVID-19 Classification Using Chest X-Ray Images
par: Sharmila V J, et autres
Publié: (2021)

Dynamic Learning Rate in Deep CNN Model for Metastasis Detection and Classification of Histopathology Images
par: Anil Johny, et autres
Publié: (2021)

Single Shot Multibox Detector Automatic Polyp Detection Network Based on Gastrointestinal Endoscopic Images
par: Xiaoling Chen, et autres
Publié: (2021)

Stress testing reveals gaps in clinic readiness of image-based diagnostic artificial intelligence models
par: Albert T. Young, et autres
Publié: (2021)

Pan-cancer diagnostic consensus through searching archival histopathology images using artificial intelligence
par: Shivam Kalra, et autres
Publié: (2020)

Correlation between Imaging Features and Pathological Stages of Primary Lung Tumors Based on Nanocontrast Agents
par: Jin Li, et autres
Publié: (2021)

Porcine-Stimulated Human Tr1 Cells Showed Enhanced Suppression in Xenoantigen Stimulation Response
par: Xiaoting Chen, et autres
Publié: (2021)

PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging
par: Shih-Cheng Huang, et autres
Publié: (2020)

Multitask Interactive Attention Learning Model Based on Hand Images for Assisting Chinese Medicine in Predicting Myocardial Infarction
par: Qida Wang, et autres
Publié: (2021)

CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images
par: Tahereh Javaheri, et autres
Publié: (2021)

A Study on Weak Edge Detection of COVID-19’s CT Images Based on Histogram Equalization and Improved Canny Algorithm
par: Shou-Ming Hou, et autres
Publié: (2021)

Author Correction: PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging
par: Shih-Cheng Huang, et autres
Publié: (2020)

Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph
par: Po-Chih Kuo, et autres
Publié: (2021)

Towards nationally curated data archives for clinical radiology image analysis at scale: Learnings from national data collection in response to a pandemic
par: Dominic Cushnan, et autres
Publié: (2021)

CT Image Features of the FBP Reconstruction Algorithm in the Evaluation of Fasting Blood Sugar Level of Diabetic Pulmonary Tuberculosis Patients and Early Diet Nursing
par: Lili Hong, et autres
Publié: (2021)

Development and validation of a weakly supervised deep learning framework to predict the status of molecular pathways and key mutations in colorectal cancer from routine histology images: a retrospective study
par: Mohsin Bilal, PhD, et autres
Publié: (2021)