https://www.imagejournals.org/international-journal-of-clinical-medical-images-editorialboard.html
International Journal of Clinical & Medical Images | Editorial Board
international journalmedical imageseditorial boardclinical
https://lisa.unical.it/items/0c96bd4a-0b77-44df-843c-8e9add856ed0
Classification of medical images: instance space optimization models for Multiple Instance Learning
medical imagesspace optimizationclassificationinstancemodels
https://cris.pucp.edu.pe/en/publications/a-semantic-fusion-approach-between-medical-images-and-reports-usi/
A semantic fusion approach between medical images and reports using UMLS - Pontificia Universidad...
medical imagessemanticfusionapproachreports
https://researchinformation.umcutrecht.nl/en/publications/model-based-analysis-of-medical-images-editorial/
Model-based analysis of medical images (Editorial). - University Medical Center Utrecht
medical imagesuniversity centermodelbasedanalysis
https://born2invest.com/articles/4k-medical-images-reach-billions-2032/
4K Medical Images to Reach 2.31 Billion by 2032
Sep 13, 2024 - The global 4K medical imaging market is projected to reach $2.37 billion by 2032, driven by a 10.44% CAGR. Growth is fueled by rising chronic diseases, aging...
medical imagesreachbillion
https://jcsmicasereports.org/
Journal of Clinical Studies&Medical Images,Case Reports(JCSMICR)
Apr 18, 2026 - Journal of Clinical Studies and Medical Images, Case Reports open access journals, Peer Reviewed journals, Online Medicine Journal
clinical studiesmedical imagescase reportsjournal
https://www.prnewswire.com/news-releases/ambra-health-launches-mobile-app-for-instant-access-to-medical-images-300735781.html
Ambra Health Launches Mobile App for Instant Access to Medical Images
/PRNewswire/ -- Ambra Health, makers of the leading cloud-based, medical image management suite, today announced the launch of its first iOS mobile app for...
mobile appinstant accessmedical imagesambrahealth
https://iris.unibocconi.it/handle/11565/4059002
A CUDA-powered method for the feature extraction and unsupervised analysis of medical images
for thefeature extractionmedical imagescudapowered
https://amslaurea.unibo.it/id/eprint/2655/
Pattern recognition methods for the analysis of medical images (Metodi di pattern recognition per...
pattern recognitionfor themedical imagesmethodsanalysis
https://www.tweag.io/blog/2023-04-20-medical-computing-at-scale/
Processing medical images at scale on the cloud - Tweag
To allow innovation in medical imaging with AI, we need efficient and affordable ways to store and compute at scale.
on the cloudmedical imagesat scaleprocessing
https://shop.voka.io/
1000+ Anatomy & Pathology Medical Images, Videos & Animations
medical imagesanatomypathologyvideosanimations
https://researchconnect.stonybrook.edu/en/publications/representation-recovering-for-self-supervised-pre-training-on-med/
Representation Recovering for Self-Supervised Pre-training on Medical Images - Stony Brook...
for selfpre trainingmedical imagesstony brookrepresentation
https://researchinnovation.kingston.ac.uk/en/publications/perceptual-quality-of-reconstructed-medical-images-on-projection--4/
Perceptual quality of reconstructed medical images on projection-based light field displays -...
medical imagesqualityprojectionbasedlight
https://thescipub.com/abstract/jcssp.2009.857.863
Clinical Assessment of Watermarked Medical Images | Journal of Computer Science | Science...
clinical assessmentmedical imagescomputer sciencejournal
https://forums.mhra.gov.uk/showthread.php?3898-Medical-Images-Requirements&s=1968fe3d5aade580ed6180d0f101d708&mode=hybrid
Medical Images Requirements
As the Sponsor, we have received notification from the Medical Imaging Service Provider that they have completed the final data transfer for our study. The...
medical imagesrequirements
https://www.techtarget.com/healthtechanalytics/news/366590190/Artificial-Intelligence-Flags-Knee-Osteoarthritis-Using-Medical-Images
Artificial Intelligence Flags Knee Osteoarthritis Using Medical Images | TechTarget
New AI model helped diagnose knee osteoarthritis in 178% more cases than currently diagnosed in a large patient cohort using only X-rays of the knee joint.
artificial intelligenceknee osteoarthritismedical imagesflagsusing
https://www.techscience.com/CMES/v134n2/49511/pdf
CMES | An Efficient Encryption and Compression of Sensed IoT Medical Images Using Auto-Encoder
Healthcare systems nowadays depend on IoT sensors for sending data over the internet as a common practice. Encryption of medical images is very important to...
medical imagescmesefficientencryptioncompression
https://researchportal.ip-paris.fr/fr/publications/first-order-logic-with-fuzzy-semantics-for-describing-and-recogni/
First Order Logic with Fuzzy Semantics for Describing and Recognizing Nerves in Medical Images -...
first ordermedical imageslogicfuzzysemantics
https://knova.um.edu.my/research_publications_2006_2010/46/
"Creating animated medical images (Part 2)" by Nahrizul Adib Kadri and M.G. Raha
By Nahrizul Adib Kadri and M.G. Raha, Published on 01/01/06
medical imagescreatinganimatedpartadib
https://www.illustrationsource.com/stock/image/513017/cells-containing-science-and-medical-images/?&results_per_page=1&detail=TRUE&page=40
Stock Illustration - Cells containing science and medical images
medical imagesstockillustrationcellscontaining
https://ijece.iaescore.com/index.php/IJECE/article/view/39782/0
Integrity verification of medical images in internet of medical things for smart cities using data...
Integrity verification of medical images in internet of medical things for smart cities using data hiding scheme
for smart citiesmedical imagesinternet thingsusing dataintegrity
https://avesis.erciyes.edu.tr/yayin/59a0d4e4-d91b-4295-8c5c-9f6ee98d3e50/deep-feature-extraction-dimensionality-reduction-and-classification-of-medical-images-using-combined-deep-learning-architectures-autoencoder-and-multiple-machine-learning-models
Deep feature extraction, dimensionality reduction, and classification of medical images using...
feature extractiondimensionality reductionmedical imagesdeepclassification
https://www.aiaaic.org/aiaaic-repository/ai-algorithmic-and-automation-incidents/google-flags-medical-images-of-groin-as-csam
AIAAIC - Google flags medical images of groin as CSAM
Google flags medical images of groins as CSAM
medical imagesgoogleflagsgroincsam
https://eudl.eu/doi/10.4108/eetel.4449
Applications of Image Segmentation Techniques in Medical Images - EUDL
Image segmentation is an important research direction in medical image processing tasks, and it is also a challenging task in the field of computer vision. At...
image segmentationmedical imagesapplicationstechniqueseudl
https://wjomi.com/
WORLD JOURNAL OF MEDICAL IMAGES, VIDEOS AND CASES
WORLD JOURNAL OF MEDICAL IMAGES, VIDEOS AND CASES
medical imagesworldjournalvideoscases
https://deepai.org/publication/attention-gated-networks-learning-to-leverage-salient-regions-in-medical-images
Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images | DeepAI
Aug 22, 2018 - 08/22/18 - We propose a novel attention gate (AG) model for medical image analysis that automatically learns to focus on target structures of...
medical imagesattentiongatednetworkslearning
https://nr.no/en/publication/343423/
Communication of medical images, text, and messages in inter-enterprise systems: A case study in...
medical imagesenterprise systemscase studycommunicationtext
https://science.rsu.lv/en/publications/visual-search-in-three-dimensional-non-medical-images-visual-moto/
Visual search in three-dimensional non-medical images: Visual-motor performance of radiologists -...
visual searchthree dimensionalmedical imagesnonmotor
https://pure.amsterdamumc.nl/en/publications/patient-identification-data-on-medical-images/
Patient identification data on medical images - Amsterdam UMC
patient identificationmedical imagesamsterdam umcdata
https://spectrum.library.concordia.ca/id/eprint/975832/
Semantical representation and retrieval of natural photographs and medical images using concept and...
medical imagesrepresentationretrievalnaturalphotographs
https://scholar.hit.edu.cn/en/publications/statistical-analysis-of-manual-segmentations-of-structures-in-med/
Statistical analysis of manual segmentations of structures in medical images - Harbin Institute of...
statistical analysismedical imagesmanualstructuresharbin
https://topic.alibabacloud.com/a/the-introduction-of-three-dimensional-visualization-tools-for-medical-images-volpack-vtk-volview-mitk_2_73_10232790.html
The introduction of three-dimensional visualization tools for medical images (Volpack, VTK,...
Introduction to three-dimensional visualization tools for medical images (Volpack, VTK, Volview, MITK) three-dimensional visualization of medical images as an...
the introductionthree dimensionalvisualization toolsfor medicalimages
https://research.ou.nl/en/activities/the-eye-of-the-master-ii-medeye-perceiving-dynamic-medical-images/
The eye of the master II. MedEye: Perceiving dynamic medical images - Open Universiteit research...
the eyemedical imagesopen universiteitmasterii
https://it.mathworks.com/help/medical-imaging/ug/read-process-and-write-3-d-medical-image-with-spatial-referencing.html
Read, Process, and Write 3-D Medical Images - MATLAB & Simulink
Import and display a medical image volume in patient coordinates, apply a smoothing filter.
medical imagesreadprocesswritematlab
https://jmedcasereportsimages.org/
Journal of Clinical Case Reports, Medical Images and Health Sciences
May 4, 2026 - Journal of Clinical Case Reports, Medical Images and Health Sciences open access journals, Peer Reviewed journals, Online Medicine Journal
clinical case reportsmedical imageshealth sciencesjournal
https://openreview.net/forum?id=SkxccsWxxE
Sparse Structured Prediction for Semantic Edge Detection in Medical Images | OpenReview
Processing of image patches on a graph generated from sparse sampling locations to recover dense predictions.
edge detectionmedical imagessparsestructuredprediction
https://www.fit.vut.cz/research/result/c26059/.en
Delaunay-Based Vector Segmentation of Volumetric Medical Images
medical imagesdelaunaybasedvectorsegmentation
https://garudeya.com/product-category/photos/healthcare-medical-images-and-stock-photos/
Healthcare and Medical Images And Stock Photos | Garudeya.com
healthcare and medicalstock photosimages
https://publications.eai.eu/index.php/el/article/view/4449
RETRACTED: Applications of Image Segmentation Techniques in Medical Images | EAI Endorsed...
image segmentationmedical imagesretractedapplicationstechniques
https://pure.athabascau.ca/en/publications/securing-patients-medical-images-and-authentication-system-based-/
Securing patients medical images and authentication system based on public key infrastructure -...
public key infrastructuremedical imagesbased onsecuringpatients
https://www.medimsight.com/
Medimsight | First AI Hospital for medical images
for medicalfirstaihospitalimages
https://aws.amazon.com/blogs/industries/ai-assisted-annotation-of-medical-images-using-monai-label-on-aws/
AI-Assisted Annotation of Medical Images using MONAI Label on AWS | AWS for Industries
May 4, 2023 - Blog is guest authored by Professor Ken Butcher, Medical Director of the New South Wales Telestroke Service and Andres Diaz-Pinto, Senior Deep Learning...
ai assistedmedical imagesmonai labelfor industriesannotation
https://www.diagnijmegen.nl/publications/hoge17/
Fast and effective quantification of symmetry in medical images for pathology detection:...
medical imagesfasteffectivequantificationsymmetry
https://jpis.az/ru/journals/342
BRAIN TUMOR DIAGNOSIS BASED ON MEDICAL IMAGES USING VISION TRANSFORMER - Problems of Information...
BRAIN TUMOR DIAGNOSIS BASED ON MEDICAL IMAGES USING VISION TRANSFORMER - Problems of Information Society
brain tumorbased onmedical imagesvision transformerdiagnosis
https://research.uni-luebeck.de/de/publications/unsupervised-pathology-detection-in-medical-images-using-conditio/
Unsupervised pathology detection in medical images using conditional variational autoencoders -...
medical imagesunsupervisedpathologydetectionusing
https://www.amrita.edu/publication/a-new-approach-for-the-image-compression-to-the-medical-images-using-pca-spiht/
A New Approach for the Image Compression to the Medical Images using PCA-SPIHT - Amrita Vishwa...
a new approachfor theimage compressionmedical imagesusing
https://mcml.ai/publications/see+21/
MCML - Deep Variational Clustering Framework for Self-Labeling of Large-Scale Medical Images
Details on publication SEE+21
for selflarge scalemedical imagesdeepclustering
https://ijmirm.com/index.php/ijmirm/article/view/47/43
View of Generative Adversarial Networks for Anomaly Detection in Medical Images
anomaly detectionmedical imagesviewgenerativeadversarial
https://www.imaginebuddy.com/photo/3315/a-surgeon-using-a-robotic
A surgeon using a robotic, medical images stock | Imaginebuddy
Download this ai image with prompt about a surgeon using a robotic, medical images stock and browse thousands ai generated stock images with prompts on...
medical imagessurgeonusingroboticstock
https://papers.cool/venue/26659@AAAI
Leveraging Old Knowledge to Continually Learn New Classes in Medical Images | Cool Papers -...
Class-incremental continual learning is a core step towards developing artificial intelligence systems that can continuously adapt to changes in the...
new classesmedical imagesleveragingoldknowledge
https://pmc.ncbi.nlm.nih.gov/articles/PMC11623192/
A big data analysis algorithm for massive sensor medical images - PMC
Big data analytics for clinical decision-making has been proposed for various clinical sectors because clinical decisions are more evidence-based and...
big datamedical imagesanalysisalgorithmmassive
https://www.medicaldevice-network.com/data-insights/ge-healthcare-technologies-gets-grant-for-laterality-detection-in-medical-images-using-a-neural-network/
Laterality Detection in Medical Images: GE HealthCare Technologies Inc's Patent
Dec 6, 2023 - Discover how GE HealthCare Technologies Inc uses a neural network model to automatically detect and adjust the laterality of medical images. Improve accuracy...
medical imageslateralitydetectionhealthcaretechnologies
https://videodoctorai.com/
Video Doctor AI - Personalized Medical AI Images
medical imagesvideodoctoraipersonalized
https://experts.llu.edu/en/publications/mask-r-cnn-models-to-purify-medical-images-of-training-sets/
Mask R-CNN Models to Purify Medical Images of Training Sets - Faculty Experts - Loma Linda...
medical imagesfaculty expertsloma lindamaskcnn
https://cris.fau.de/publications/111354804/?lang=de_DE
Radial Basis Function Interpolation for Rapid Interactive Segmentation of 3-D Medical Images - FAU...
interactive segmentationmedical imagesradialbasisfunction
https://scholar.ui.ac.id/en/publications/past-present-and-future-trend-of-gpu-computing-in-deep-learning-o/
Past, present, and future trend of GPU computing in deep learning on medical images - Universitas...
present and futuregpu computingdeep learningmedical imagespast
https://www.lenovo.com/us/en/case-studies-customer-success-stories/prism-medical
Empowering healthcare providers with rapid, reliable access to medical images | Lenovo
How Prism Medical used Lenovo ThinkSystem SR250 and SR550 servers to keep mission-critical medical imaging systems running reliably around the clock.
healthcare providersaccess tomedical imagesempoweringrapid
https://www.catalyzex.com/paper/class-balanced-open-set-semi-supervised
Class-balanced Open-set Semi-supervised Object Detection for Medical Images
Class-balanced Open-set Semi-supervised Object Detection for Medical Images: Paper and Code. Medical image datasets in the real world are often unlabeled and...
object detectionfor medicalclassbalancedopen
https://bytez.com/docs/arxiv/1901.07759/paper
Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification | Read Paper...
Jan 23, 2019 - Deep neural networks (DNNs) have achieved great success in a wide variety of medical image analysis tasks. However, these achievements indispensably rely on...
medical imagesskin lesionread paperrobustlearning
https://patents.google.com/patent/US12505905B2/en
US12505905B2 - Method and system for the computer-aided processing of medical images - Google...
Methods and systems described enable automatic generation of a significant portion of or all of a clinical report (e.g., radiology report), using multimodal...
for themedical imagesmethodsystemcomputer
https://kingy.ai/news/elon-musk-encourages-users-to-upload-medical-images-to-ai-chatbot-a-deep-dive-into-privacy-risks/
Elon Musk Encourages Users to Upload Medical Images to AI Chatbot: A Deep Dive into Privacy Risks -...
Nov 19, 2024 - Artificial Intelligence is reshaping many sectors, and healthcare is no exception. Recently, Elon Musk, the owner of X (formerly known
upload medical imageselon muskai chatbotdeep diveprivacy risks
https://iris.sissa.it/handle/20.500.11767/115945
Compressing medical images with minimal information loss
medical imageswith minimalcompressinginformationloss
https://www.stratasys.com/en/resources/case-studies/bringing-2d-medical-images-to-life/
Bringing 2D Medical Images to Life
Learn how Medical IP is using AI-based medical image analysis tech and 3D printing to transform training, product development, and surgical simulation.
medical imagesbringinglife
https://recentscientific.com/fusion-medical-images-using-curvelet-transform?page=4
fusion of medical images using curvelet transform | Page 5 | IJRSR Journal-UGC guidelines journal
medical imagesugc guidelinesfusionusingtransform
https://opus4.kobv.de/opus4-zib/frontdoor/index/index/docId/3776
OPUS 4 | Validation Metrics for Non-Rigid Registration of Medical Images containing Vessel Trees
non rigid registrationmedical imagesopusvalidationmetrics
https://www.sciweavers.org/subject/digital-medical-images
digital medical images | Sciweavers
This page displays all documents tagged with digital medical images on Sciweavers
medical imagesdigitalsciweavers
https://elmi.hbku.edu.qa/en/publications/spot-thefake-lungs-generating-synthetic-medical-images-using-neur/
Spot the Fake Lungs: Generating Synthetic Medical Images Using Neural Diffusion Models - Hamad Bin...
medical imagesdiffusion modelsspotfakelungs
https://thesai.org/Publications/ViewPaper?Volume=3&Issue=4&Code=IJARAI&SerialNo=1
A Registration Method for Multimodal Medical Images Using Contours Mutual Information
In recent years, mutual information has developed as a popular image registration measure especially in multimodality image registration. For different...
registration methodmedical imagesmultimodalusingcontours
https://mymedicalimages.com/
Easily Share Medical Images Online | mymedicalimages.com
Easily share medical images online and manage all of them in one place. Made simple for patients and powerful for physicians.
medical imageseasilyshareonline
https://engineering.uci.edu/events/2013/4/eecs-colloquium-extracting-biomakers-medical-images-speaker-prof-f-kruggel-bme-uci
EECS Colloquium: Extracting Biomakers from Medical Images - Speaker: Prof. F. Kruggel, BME, UCI |...
medical imageseecscolloquiumspeakerprof
https://theimagingwire.com/tag/medical-images/
medical images Archives - The Imaging Wire
medical imagesarchivesimagingwire
https://clinandmedimages.org/
Journal of Clinical and Medical Images (ISSN 2640-9615)
Journal of Clinical and Medical Images (ISSN 2640-9615), Short Reports, Medical Imaging Journal, Open access Journal
clinical and medicaljournalimagesissn
https://healthtechdigital.com/new-greenbone-research-reveals-that-1-19-billion-confidential-medical-images-are-now-freely-available-on-the-internet/
1.19 billion confidential medical images are available on the internet.
Apr 26, 2026 - Updated report on unsecured PACS servers shows problem has escalated in the last 60 days.
on the internetmedical imagesare availablebillionconfidential
https://ijritcc.org/index.php/ijritcc/article/view/10386/7903
View of Machine Learning Model for Evaluative Performance of Medical Images Using Classifiers
machine learningmedical imagesviewmodelperformance
https://ieeetv.ieee.org/ondemand/ieee-isbi-2020-virtual-conference-april-2020/2742/supervised-learning-for-segmenting-open-boundaries-in-medical-images
Supervised Learning for Segmenting Open Boundaries in Medical Images | IEEETV
Image segmentation is one of the most important building blocks in many medical imaging applications. Often, it is the first step in any artificial...
supervised learningmedical imagessegmentingopenboundaries
https://www.radmagazine.com/radical-opinions/from-images-to-impact-how-medical-imaging-is-reshaping-clinical-decision-making/
From images to impact: how medical imaging is reshaping clinical decision making - RAD Magazine -...
Apr 30, 2026 - Each year, an estimated 340 million contrast-enhanced x-ray / computed tomography (CT) and magnetic resonance imaging (MRI) procedures are performed...
medical imagingdecision makingimagesimpactreshaping