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J. Imaging, Vol. 9, Pages 1: A Survey on Deep Learning in COVID-19 Diagnosis
J. Imaging, Vol. 9, Pages 1: A Survey on Deep Learning in COVID-19 Diagnosis
According to the World Health Organization statistics, as of 25 October 2022, there have been 625,248,843 confirmed cases ...
J. Imaging, Vol. 9, Pages 3: Auguring Fake Face Images Using Dual Input Convolution Neural Network
J. Imaging, Vol. 9, Pages 3: Auguring Fake Face Images Using Dual Input Convolution Neural Network
Deepfake technology uses auto-encoders and generative adversarial networks to replace or artificially construct fine-tuned...
J. Imaging, Vol. 9, Pages 6: CAL-Tutor: A HoloLens 2 Application for Training in Obstetric Sonography and User Motion Data Recording
J. Imaging, Vol. 9, Pages 6: CAL-Tutor: A HoloLens 2 Application for Training in Obstetric Sonography and User Motion Data Recording
Obstetric ultrasound (US) training teaches the relationship between foetal anatomy and the viewed US slice to enable navig...
J. Imaging, Vol. 9, Pages 5: A Parallax Image Mosaic Method for Low Altitude Aerial Photography with Artifact and Distortion Suppression
J. Imaging, Vol. 9, Pages 5: A Parallax Image Mosaic Method for Low Altitude Aerial Photography with Artifact and Distortion Suppression
In this paper, we propose an aerial images stitching method based on an as-projective-as-possible (APAP) algorithm, aiming...
J. Imaging, Vol. 8, Pages 328: A Framework for Enabling Unpaired Multi-Modal Learning for Deep Cross-Modal Hashing Retrieval
J. Imaging, Vol. 8, Pages 328: A Framework for Enabling Unpaired Multi-Modal Learning for Deep Cross-Modal Hashing Retrieval
Cross-Modal Hashing (CMH) retrieval methods have garnered increasing attention within the information retrieval research c...
J. Imaging, Vol. 8, Pages 327: Fully Automated Segmentation Models of Supratentorial Meningiomas Assisted by Inclusion of Normal Brain Images
J. Imaging, Vol. 8, Pages 327: Fully Automated Segmentation Models of Supratentorial Meningiomas Assisted by Inclusion of Normal Brain Images
To train an automatic brain tumor segmentation model, a large amount of data is required. In this paper, we proposed a str...
J. Imaging, Vol. 8, Pages 326: Embedded Vision Intelligence for the Safety of Smart Cities
J. Imaging, Vol. 8, Pages 326: Embedded Vision Intelligence for the Safety of Smart Cities
Advances in Artificial intelligence (AI) and embedded systems have resulted on a recent increase in use of image processin...
J. Imaging, Vol. 8, Pages 325: TM-Net: A Neural Net Architecture for Tone Mapping
J. Imaging, Vol. 8, Pages 325: TM-Net: A Neural Net Architecture for Tone Mapping
Tone mapping functions are applied to images to compress the dynamic range of an image, to make image details more conspic...
J. Imaging, Vol. 8, Pages 324: Detecting Audio Adversarial Examples in Automatic Speech Recognition Systems Using Decision Boundary Patterns
J. Imaging, Vol. 8, Pages 324: Detecting Audio Adversarial Examples in Automatic Speech Recognition Systems Using Decision Boundary Patterns
Automatic Speech Recognition (ASR) systems are ubiquitous in various commercial applications. These systems typically rely...
J. Imaging, Vol. 8, Pages 323: Disease Recognition in X-ray Images with Doctor Consultation-Inspired Model
J. Imaging, Vol. 8, Pages 323: Disease Recognition in X-ray Images with Doctor Consultation-Inspired Model
The application of chest X-ray imaging for early disease screening is attracting interest from the computer vision and dee...
J. Imaging, Vol. 8, Pages 321: A Multimodal Knowledge-Based Deep Learning Approach for MGMT Promoter Methylation Identification
J. Imaging, Vol. 8, Pages 321: A Multimodal Knowledge-Based Deep Learning Approach for MGMT Promoter Methylation Identification
Glioblastoma Multiforme (GBM) is considered one of the most aggressive malignant tumors, characterized by a tremendously l...
J. Imaging, Vol. 8, Pages 322: Image Decomposition Technique Based on Near-Infrared Transmission
J. Imaging, Vol. 8, Pages 322: Image Decomposition Technique Based on Near-Infrared Transmission
One way to diagnose a disease is to examine pictures of tissue thought to be affected by the disease. Near-infrared proper...
J. Imaging, Vol. 8, Pages 320: How Well Do Self-Supervised Models Transfer to Medical Imaging?
J. Imaging, Vol. 8, Pages 320: How Well Do Self-Supervised Models Transfer to Medical Imaging?
Self-supervised learning approaches have seen success transferring between similar medical imaging datasets, however there...
J. Imaging, Vol. 8, Pages 319: Remote Training for Medical Staff in Low-Resource Environments Using Augmented Reality
J. Imaging, Vol. 8, Pages 319: Remote Training for Medical Staff in Low-Resource Environments Using Augmented Reality
This work aims to leverage medical augmented reality (AR) technology to counter the shortage of medical experts in low-res...
J. Imaging, Vol. 8, Pages 313: Efficient and Robust Method to Detect the Location of Macular Center Based on Optimal Temporal Determination
J. Imaging, Vol. 8, Pages 313: Efficient and Robust Method to Detect the Location of Macular Center Based on Optimal Temporal Determination
The location of the macular central is very important for the examination of macular edema when using an automated screeni...
J. Imaging, Vol. 8, Pages 312: Seismic Waveform Inversion Capability on Resource-Constrained Edge Devices
J. Imaging, Vol. 8, Pages 312: Seismic Waveform Inversion Capability on Resource-Constrained Edge Devices
Seismic full wave inversion (FWI) is a widely used non-linear seismic imaging method used to reconstruct subsurface veloci...
J. Imaging, Vol. 8, Pages 315: Color Image Enhancement Focused on Limited Hues
J. Imaging, Vol. 8, Pages 315: Color Image Enhancement Focused on Limited Hues
Some color images primarily comprise specific hues, for example, food images predominantly contain a warm hue. Therefore, ...
J. Imaging, Vol. 8, Pages 301: Z2-γ: An Application of Zienkiewicz-Zhu Error Estimator to Brain Tumor Detection in MR Images
J. Imaging, Vol. 8, Pages 301: Z2-γ: An Application of Zienkiewicz-Zhu Error Estimator to Brain Tumor Detection in MR Images
Brain tumors are abnormal cell growth in the brain tissues that can be cancerous or not. In any case, they could be a very...
J. Imaging, Vol. 8, Pages 303: Harmonization Strategies in Multicenter MRI-Based Radiomics
J. Imaging, Vol. 8, Pages 303: Harmonization Strategies in Multicenter MRI-Based Radiomics
Radiomics analysis is a powerful tool aiming to provide diagnostic and prognostic patient information directly from images...
J. Imaging, Vol. 8, Pages 307: Periocular Data Fusion for Age and Gender Classification
J. Imaging, Vol. 8, Pages 307: Periocular Data Fusion for Age and Gender Classification
In recent years, the study of soft biometrics has gained increasing interest in the security and business sectors. These c...
J. Imaging, Vol. 8, Pages 309: Robust Measures of Image-Registration-Derived Lung Biomechanics in SPIROMICS
J. Imaging, Vol. 8, Pages 309: Robust Measures of Image-Registration-Derived Lung Biomechanics in SPIROMICS
Chronic obstructive pulmonary disease (COPD) is an umbrella term used to define a collection of inflammatory lung diseases...