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Journal of Digital Imaging, Volume 33
Volume 33, Number 1, February 2020
- Janice C. Honeyman-Buck:
Editorial. 1 - David E. Avrin:
Editorial. 2 - Elizabeth A. Krupinski
:
SIIM Announces New Awards! 3-5 - Kenneth R. Persons
Interoperability and Considerations for Standards-Based Exchange of Medical Images: HIMSS-SIIM Collaborative White Paper. 6-16 - Andres Elovic
Lexicomp App Review. 17-20 - Andres Elovic
DynaMed Plus App Review. 21-24 - David M. Cohn, Tarub S. Mabud, Victoria A. Arendt
Toward Data-Driven Learning Healthcare Systems in Interventional Radiology: Implementation to Evaluate Venous Stent Patency. 25-36 - Cheryl A. Petersilge
The Enterprise Imaging Value Proposition. 37-48 - Nathaniel C. Swinburne
Advancing Semantic Interoperability of Image Annotations: Automated Conversion of Non-standard Image Annotations in a Commercial PACS to the Annotation and Image Markup. 49-53 - Andreas Brühschwein
Free DICOM-Viewers for Veterinary Medicine. 54-63 - Ibrahim I. Suliman
Estimates of Patient Radiation Doses in Digital Radiography Using DICOM Information at a Large Teaching Hospital in Oman. 64-70 - Dmytro Luzhbin
Model Image-Based Metal Artifact Reduction for Computed Tomography. 71-82 - Oren J. Mechanic
Point of Care Image Capture with a Custom Smartphone Application: Experience with an Encounter-Based Workflow. 83-87 - Gustavo H. M. B. Motta
Towards an Information Infrastructure for Medical Image Sharing. 88-98 - Alessio Virzì
Comprehensive Review of 3D Segmentation Software Tools for MRI Usable for Pelvic Surgery Planning. 99-110 - Asif Ahmed Anik, Brian Arun Xavier
Accuracy and Reproducibility of Linear and Angular Measurements in Virtual Reality: a Validation Study. 111-120 - Sandeep Dalal, Vadiraj Hombal, Wei-Hung Weng, Gabe Mankovich, Thusitha De Silva Mabotuwana, Christopher S. Hall, Joseph Fuller, Bruce E. Lehnert, Martin L. Gunn
Determining Follow-Up Imaging Study Using Radiology Reports. 121-130 - Robert Lou
Automated Detection of Radiology Reports that Require Follow-up Imaging Using Natural Language Processing Feature Engineering and Machine Learning Classification. 131-136 - John L. Burns
Just in Time Radiology Decision Support Using Real-time Data Feeds. 137-142 - Ray Zhang, Vamsi R. Narra, Akash P. Kansagra
Large-Scale Assessment of Scan-Time Variability and Multiple-Procedure Efficiency for Cross-Sectional Neuroradiological Exams in Clinical Practice. 143-150 - Lamiaa Abdel-Hamid
Glaucoma Detection from Retinal Images Using Statistical and Textural Wavelet Features. 151-158 - D. Jeba Derwin
Secondary Observer System for Detection of Microaneurysms in Fundus Images Using Texture Descriptors. 159-167 - Vallikutti Sathananthavathi, Indumathi Ganesan
Parallel Architecture of Fully Convolved Neural Network for Retinal Vessel Segmentation. 168-180 - Xin Yi
Automatic Catheter and Tube Detection in Pediatric X-ray Images Using a Scale-Recurrent Network and Synthetic Data. 181-190 - Faisal Rehman
A Region-Based Deep Level Set Formulation for Vertebral Bone Segmentation of Osteoporotic Fractures. 191-203 - Samir D. Mehta, Ronnie Sebro:
Computer-Aided Detection of Incidental Lumbar Spine Fractures from Routine Dual-Energy X-Ray Absorptiometry (DEXA) Studies Using a Support Vector Machine (SVM) Classifier. 204-210 - Dingrong Yi
Contrast-Enhancing Snapshot Narrow-Band Imaging Method for Real-Time Computer-Aided Cervical Cancer Screening. 211-220 - Jongha Park, Jihye Yun, Namkug Kim, BeomHee Park, Yongwon Cho, Hee Jun Park, Mijeong Song, Minho Lee, Joon Beom Seo:
Fully Automated Lung Lobe Segmentation in Volumetric Chest CT with 3D U-Net: Validation with Intra- and Extra-Datasets. 221-230 - Marek Kowal
Cell Nuclei Segmentation in Cytological Images Using Convolutional Neural Network and Seeded Watershed Algorithm. 231-242 - David Dreizin
Performance of a Deep Learning Algorithm for Automated Segmentation and Quantification of Traumatic Pelvic Hematomas on CT. 243-251 - Varun Srivastava
Classification of CT Scan Images of Lungs Using Deep Convolutional Neural Network with External Shape-Based Features. 252-261 - Hyunna Lee, Kyesam Jung
Fully Automated and Real-Time Volumetric Measurement of Infarct Core and Penumbra in Diffusion- and Perfusion-Weighted MRI of Patients with Hyper-Acute Stroke. 262-272 - Prerna Singh
Feature Enhancement in Medical Ultrasound Videos Using Contrast-Limited Adaptive Histogram Equalization. 273-285
Volume 33, Number 2, April 2020
- Edson F. Luque
Automatic Staging of Cancer Tumors Using AIM Image Annotations and Ontologies. 287-303 - Omar Ibrahim Al Irr
Survey on Liver Tumour Resection Planning System: Steps, Techniques, and Parameters. 304-323 - Ramin Javan
Using 3D-Printed Mesh-Like Brain Cortex with Deep Structures for Planning Intracranial EEG Electrode Placement. 324-333 - Fatemeh Homayounieh
Viewing Imaging Studies: How Patient Location and Imaging Site Affect Referring Physicians. 334-340 - Lingtao Yu, Pengcheng Wang
A Holistically-Nested U-Net: Surgical Instrument Segmentation Based on Convolutional Neural Network. 341-347 - Sadaf Sahraian
Musculoskeletal Radiology Reports: Overlooked or Valuable? 348-354 - Ameena Elahi
Automating Import and Reconciliation of Outside Examinations Submitted to an Academic Radiology Department. 355-360 - Roopa B. Hegde, Keerthana Prasad
Automated Decision Support System for Detection of Leukemia from Peripheral Blood Smear Images. 361-374 - Samira Loveymi, Mir Hossein Dezfoulian, Muharram Mansoorizadeh
Generate Structured Radiology Report from CT Images Using Image Annotation Techniques: Preliminary Results with Liver CT. 375-390 - Mohammadreza Hedyehzadeh
A Comparison of the Efficiency of Using a Deep CNN Approach with Other Common Regression Methods for the Prediction of EGFR Expression in Glioblastoma Patients. 391-398 - Farzaneh Dehghani
Assessing the Bone Age of Children in an Automatic Manner Newborn to 18 Years Range. 399-407 - Karin Dembrower
A Multi-million Mammography Image Dataset and Population-Based Screening Cohort for the Training and Evaluation of Deep Neural Networks - the Cohort of Screen-Aged Women (CSAW). 408-413 - Ni Gao, Sijia Tian, Xia Li, Jian Huang, Jingjing Wang, Sipeng Chen, Yuan Ma
Three-Dimensional Texture Feature Analysis of Pulmonary Nodules in CT Images: Lung Cancer Predictive Models Based on Support Vector Machine Classifier. 414-422 - Yuan Liu
Automatic Lumbar Spine Tracking Based on Siamese Convolutional Network. 423-430 - Vikash Gupta, Mutlu Demirer, Matthew T. Bigelow, Kevin J. Little
Performance of a Deep Neural Network Algorithm Based on a Small Medical Image Dataset: Incremental Impact of 3D-to-2D Reformation Combined with Novel Data Augmentation, Photometric Conversion, or Transfer Learning. 431-438 - Sara Ranjbar
A Deep Convolutional Neural Network for Annotation of Magnetic Resonance Imaging Sequence Type. 439-446 - Tomomi Nobashi, Claudia Zacharias, Jason K. Ellis, Valentina Ferri, Mary Ellen Koran, Benjamin L. Franc
Performance Comparison of Individual and Ensemble CNN Models for the Classification of Brain 18F-FDG-PET Scans. 447-455 - Elizabeth Silvestro
Imaging Properties of Additive Manufactured (3D Printed) Materials for Potential Use for Phantom Models. 456-464 - T. Kalaiselvi
Three-Phase Automatic Brain Tumor Diagnosis System Using Patches Based Updated Run Length Region Growing Technique. 465-479 - Jordy K. van Zandwijk
Assessment of Dynamic Change of Coronary Artery Geometry and Its Relationship to Coronary Artery Disease, Based on Coronary CT Angiography. 480-489 - Ross W. Filice
Crowdsourcing pneumothorax annotations using machine learning annotations on the NIH chest X-ray dataset. 490-496 - Hiroki Kobayashi, Ryohei Nakayama
Improving Image Resolution of Whole-Heart Coronary MRA Using Convolutional Neural Network. 497-503 - Maryam Gholizadeh-Ansari, Javad Alirezaie, Paul S. Babyn:
Deep Learning for Low-Dose CT Denoising Using Perceptual Loss and Edge Detection Layer. 504-515 - Urvashi Sharma
A Block Adaptive Near-Lossless Compression Algorithm for Medical Image Sequences and Diagnostic Quality Assessment. 516-530 - Takashi Mizukuchi
Automatic Remasking of Digital Subtraction Angiography Images in Pulmonary Angiography. 531-537 - Dongyeon Lee, Chulkyu Park, Younghwan Lim, Hyosung Cho
A Metal Artifact Reduction Method Using a Fully Convolutional Network in the Sinogram and Image Domains for Dental Computed Tomography. 538-546 - Valeria Makeeva
Imaging Informatics Fellowship Curriculum: a Survey to Identify Core Topics and Potential Inter-Program Areas of Collaboration. 547-553
Volume 33, Number 3, June 2020
- Azita Yazdani
Automated Misspelling Detection and Correction in Persian Clinical Text. 555-562 - Rim Messaoudi
Ontologies for Liver Diseases Representation: A Systematic Literature Review. 563-573 - Dang N. H. Thanh
Melanoma Skin Cancer Detection Method Based on Adaptive Principal Curvature, Colour Normalisation and Feature Extraction with the ABCD Rule. 574-585 - Anton S. Becker
Interactive, Up-to-date Meta-Analysis of MRI in the Management of Men with Suspected Prostate Cancer. 586-594 - Najmeh Hasani, AghaFatemeh Hosseini
Effect of Implementation of Picture Archiving and Communication System on Radiologist Reporting Time and Utilization of Radiology Services: A Case Study in Iran. 595-601 - Hailey H. Choi, Ross W. Filice:
Streamlining Radiologist Workflow for Multidisciplinary Conferences: A Web-Based System to Represent Radiology. 602-606 - Tony Lindsey
Automated Cardiovascular Pathology Assessment Using Semantic Segmentation and Ensemble Learning. 607-612 - Tsung-Ying Ho
Classifying Neck Lymph Nodes of Head and Neck Squamous Cell Carcinoma in MRI Images with Radiomic Features. 613-618 - Vidya Kudva, Keerthana Prasad
Hybrid Transfer Learning for Classification of Uterine Cervix Images for Cervical Cancer Screening. 619-631 - Shallu Sharma
Conventional Machine Learning and Deep Learning Approach for Multi-Classification of Breast Cancer Histopathology Images - a Comparative Insight. 632-654 - Amitava Halder
Lung Nodule Detection from Feature Engineering to Deep Learning in Thoracic CT Images: a Comprehensive Review. 655-677 - Ganesh Singadkar
Deep Deconvolutional Residual Network Based Automatic Lung Nodule Segmentation. 678-684 - Fangfang Han
Predicting Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset by Transfer Learning. 685-696 - Ivan Drnasin
Exploring WebRTC Potential for DICOM File Sharing. 697-707 - Altay Brusan
iBEX: Modular Open-Source Software for Digital Radiography. 708-721 - Nagasai Adusumilli
Mobile MIM: a Portable Solution in Imaging. 722-725 - Morgan P. McBee
Blockchain Technology: Principles and Applications in Medical Imaging. 726-734 - Supriya Gupta
Radiology, Mobile Devices, and Internet of Things (IoT). 735-746 - Romane Gauriau
Using DICOM Metadata for Radiological Image Series Categorization: a Feasibility Study on Large Clinical Brain MRI Datasets. 747-762 - Samson Chibuta
Real-time Malaria Parasite Screening in Thick Blood Smears for Low-Resource Setting. 763-775 - Ramin Javan
From CT to 3D Printed Models, Serious Gaming, and Virtual Reality: Framework for Educational 3D Visualization of Complex Anatomical Spaces From Within - the Pterygopalatine Fossa. 776-791 - Ish A. Talati, Hailey H. Choi, Ross W. Filice
Cinebot: Creation of Movies and Animated GIFs Directly from PACS - Efficiency in Presentation and Education. 792-796 - Priya Deshpande, Alexander Rasin, Jun Son, Sungmin Kim, Eli T. Brown, Jacob Furst, Daniela Stan Raicu, Steven M. Montner, Samuel G. Armato:
Ontology-Based Radiology Teaching File Summarization, Coverage, and Integration. 797-813
Volume 33, Number 4, August 2020
- J. Raymond Geis
Implementing Digital Imaging in the Developing World. 815 - KyeongTaek Oh, Sangwon Lee, Haeun Lee, Mijin Yun
Semantic Segmentation of White Matter in FDG-PET Using Generative Adversarial Network. 816-825 - Zhiwei Zhang, Jingjing Xiao, Shandong Wu, Fajin Lv, Junwei Gong, Lin Jiang, Renqiang Yu, Tianyou Luo:
Deep Convolutional Radiomic Features on Diffusion Tensor Images for Classification of Glioma Grades. 826-837 - Seokmin Han
A Weak and Semi-supervised Segmentation Method for Prostate Cancer in TRUS Images. 838-845 - Wangxia Zuo
An Embedded Multi-branch 3D Convolution Neural Network for False Positive Reduction in Lung Nodule Detection. 846-857 - Felipe André Zeiser
Segmentation of Masses on Mammograms Using Data Augmentation and Deep Learning. 858-868 - Jumin Zhao, Chen Zhang, Dengao Li, Jing Niu
Combining multi-scale feature fusion with multi-attribute grading, a CNN model for benign and malignant classification of pulmonary nodules. 869-878 - Arnaldo Stanzione
MRI Radiomics for the Prediction of Fuhrman Grade in Clear Cell Renal Cell Carcinoma: a Machine Learning Exploratory Study. 879-887 - Skander Jemaa, Jill Fredrickson, Richard A. D. Carano, Tina Nielsen, Alex de Crespigny, Thomas Bengtsson:
Tumor Segmentation and Feature Extraction from Whole-Body FDG-PET/CT Using Cascaded 2D and 3D Convolutional Neural Networks. 888-894 - Dipanjan Moitra
Prediction of Non-small Cell Lung Cancer Histology by a Deep Ensemble of Convolutional and Bidirectional Recurrent Neural Network. 895-902 - Hiba Mzoughi
Deep Multi-Scale 3D Convolutional Neural Network (CNN) for MRI Gliomas Brain Tumor Classification. 903-915 - Emre Ölmez, Volkan Akdogan, Murat Korkmaz, Orhan Er:
Automatic Segmentation of Meniscus in Multispectral MRI Using Regions with Convolutional Neural Network (R-CNN). 916-929 - Joseph N. Stember
Surface Point Cloud Ultrasound with Transcranial Doppler: Coregistration of Surface Point Cloud Ultrasound with Magnetic Resonance Angiography for Improved Reproducibility, Visualization, and Navigation in Transcranial Doppler Ultrasound. 930-936 - Ahmad Maaref, Francisco Perdigón Romero, Emmanuel Montagnon, Milena Cerny, Bich Nguyen, Franck Vandenbroucke-Menu, Geneviève Soucy, Simon Turcotte, An Tang
Predicting the Response to FOLFOX-Based Chemotherapy Regimen from Untreated Liver Metastases on Baseline CT: a Deep Neural Network Approach. 937-945 - Tiejun Yang, Tingting Wu, Lei Li, Chunhua Zhu:
SUD-GAN: Deep Convolution Generative Adversarial Network Combined with Short Connection and Dense Block for Retinal Vessel Segmentation. 946-957 - Saban Öztürk
Skin Lesion Segmentation with Improved Convolutional Neural Network. 958-970 - Muhammad Kashif, Gulistan Raja
An Efficient Content-Based Image Retrieval System for the Diagnosis of Lung Diseases. 971-987 - Thusitha De Silva Mabotuwana, Christopher S. Hall, Nathan M. Cross:
Framework for Extracting Critical Findings in Radiology Reports. 988-995 - Ameena Elahi
Overcoming Challenges for Successful PACS Installation in Low-Resource Regions: Our Experience in Nigeria. 996-1001 - J. Martijn Nobel
Natural Language Processing in Dutch Free Text Radiology Reports: Challenges in a Small Language Area Staging Pulmonary Oncology. 1002-1008 - Scott E. Ziegler:
Rapid Design and Development of a Network Isolated DICOM Service Class Provider Device. 1009-1015 - Mathias Kaspar
Unlocking the PACS DICOM Domain for its Use in Clinical Research Data Warehouses. 1016-1025 - Florian Jungmann, G. Arnhold, B. Kämpgen, Tobias Jorg, Christoph Düber, Peter Mildenberger, Roman Kloeckner
A Hybrid Reporting Platform for Extended RadLex Coding Combining Structured Reporting Templates and Natural Language Processing. 1026-1033 - Neeta Kumar, Ruchika Gupta
Whole Slide Imaging (WSI) in Pathology: Current Perspectives and Future Directions. 1034-1040 - Jae Ho Sohn
An Open-Source, Vender Agnostic Hardware and Software Pipeline for Integration of Artificial Intelligence in Radiology Workflow. 1041-1046 - Hilda H. Tso, Jay R. Parikh:
Using Facebook Live to Advocate Breast Cancer Screening. 1047-1052 - Lilly Kauffman, Edmund M. Weisberg, John Eng, Elliot K. Fishman:
Is a Picture Really Worth More than a Thousand Words? Which Instagram Post Types Elicit the Best Response for Radiology Education. 1053-1057 - Lilly Kauffman, Sara Raminpour, Edmund M. Weisberg, Elliot K. Fishman:
So You Want to Develop an App for Radiology Education? What You Need to Know to Be Successful. 1058-1064
Volume 33, Number 5, October 2020
- Matthew Mouawad, Heather Biernaski, Muriel Brackstone, Michael Lock, Anat Kornecki, Olga Shmuilovich
The Effect of Registration on Voxel-Wise Tofts Model Parameters and Uncertainties from DCE-MRI of Early-Stage Breast Cancer Patients Using 3DSlicer. 1065-1072 - Ahsan Bin Tufail, Yong-Kui Ma, Qiu-Na Zhang:
Binary Classification of Alzheimer's Disease Using sMRI Imaging Modality and Deep Learning. 1073-1090 - Asha Das
Computer-Aided Histopathological Image Analysis Techniques for Automated Nuclear Atypia Scoring of Breast Cancer: a Review. 1091-1121 - Malihe Molaie, Reza Aghaeizadeh Zoroofi:
A Knowledge-Based Modality-Independent Technique for Concurrent Thigh Muscle Segmentation: Applicable to CT and MR Images. 1122-1135 - Maxim Privalov, Marcus Mohr, Benedict Swartman, Nils Beisemann, Holger Keil, Jochen Franke, Paul Alfred Grützner, Sven Yves Vetter
Evaluation of Software-Based Metal Artifact Reduction in Intraoperative 3D Imaging of the Spine Using a Mobile Cone Beam CT. 1136-1143 - Yangfan Ni
The Invasiveness Classification of Ground-Glass Nodules Using 3D Attention Network and HRCT. 1144-1154 - Yupeng Xu
Boundary Restored Network for Subpleural Pulmonary Lesion Segmentation on Ultrasound Images at Local and Global Scales. 1155-1166 - Md. Asadur Rahman
A Narrative Review on Clinical Applications of fNIRS. 1167-1184 - Mats Lidén
Multi-Reader-Multi-Split Annotation of Emphysema in Computed Tomography. 1185-1193 - Andrew L. Callen
Between Always and Never: Evaluating Uncertainty in Radiology Reports Using Natural Language Processing. 1194-1201 - Soon Woo Kwon, Ik Joon Choi, Ju Yong Kang, Won Il Jang, Guk-Haeng Lee, Myung Chul Lee
Ultrasonographic Thyroid Nodule Classification Using a Deep Convolutional Neural Network with Surgical Pathology. 1202-1208 - Simukayi Mutasa
Advanced Deep Learning Techniques Applied to Automated Femoral Neck Fracture Detection and Classification. 1209-1217 - Heqing Zhang, Lin Han, Ke Chen, Yulan Peng, Jiangli Lin:
Diagnostic Efficiency of the Breast Ultrasound Computer-Aided Prediction Model Based on Convolutional Neural Network in Breast Cancer. 1218-1223 - Imene Mecheter
MR Image-Based Attenuation Correction of Brain PET Imaging: Review of Literature on Machine Learning Approaches for Segmentation. 1224-1241 - Hong Liu, Haichao Cao
Multi-model Ensemble Learning Architecture Based on 3D CNN for Lung Nodule Malignancy Suspiciousness Classification. 1242-1256 - Kadie Clancy
Deep Learning Pre-training Strategy for Mammogram Image Classification: an Evaluation Study. 1257-1265 - Ruoyun Liu, Shichong Zhou, Yi Guo
Nodule Localization in Thyroid Ultrasound Images with a Joint-Training Convolutional Neural Network. 1266-1279 - Michael O'Reilly
Simulating Tissues with 3D-Printed and Castable Materials. 1280-1291 - Hui Yan, Yexiong Li, Jianrong Dai:
Four-Dimensional Cone-Beam Computed Tomography Image Compression Using Video Encoder for Radiotherapy. 1292-1300 - Volkan Tuncay, Jan Zijlstra, Matthijs Oudkerk, Peter M. A. van Ooijen
Design, Implementation, and Validation of a Pulsatile Heart Phantom Pump. 1301-1305 - R. Jenkin Suji, Sarita Singh Bhadouria, Joydip Dhar, W. Wilfred Godfrey:
Optical Flow Methods for Lung Nodule Segmentation on LIDC-IDRI Images. 1306-1324 - Khalid M. Hosny
Classification of Skin Lesions into Seven Classes Using Transfer Learning with AlexNet. 1325-1334 - Joaquim de Moura
Joint Diabetic Macular Edema Segmentation and Characterization in OCT Images. 1335-1351 - He Gai, Yi Wang, Leanne Lai-Hang Chan, Bernard Chiu
Identification of Retinal Ganglion Cells from β-III Stained Fluorescent Microscopic Images. 1352-1363
Volume 33, Number 6, December 2020
- Yueming Li
CT Image-Based Texture Analysis to Predict Microvascular Invasion in Primary Hepatocellular Carcinoma. 1365-1375 - Giacomo Nebbia
Pre-operative Microvascular Invasion Prediction Using Multi-parametric Liver MRI Radiomics. 1376-1386 - Chiaki Narisawa, Kenneth Sutherland, Yutong Lu, Akira Furusaki, Akira Sagawa, Tamotsu Kamishima
Validation of Fully Automatic Quantitative Software for Finger Joint Space Narrowing Progression for Rheumatoid Arthritis Patients. 1387-1392 - Scott Jeffery Lee
A Scalable Natural Language Processing for Inferring BT-RADS Categorization from Unstructured Brain Magnetic Resonance Reports. 1393-1400 - Mengmeng Yan
Radiomic Analysis of CT Predicts Tumor Response in Human Lung Cancer with Radiotherapy. 1401-1403 - Aylar Bayramova
Photographing Alopecia: How Many Pixels Are Needed for Clinical Evaluation? 1404-1409 - Mustafa Hakan Bozkurt
Jaw and Teeth Segmentation on the Panoramic X-Ray Images for Dental Human Identification. 1410-1427 - Hina Raja
Extraction of Retinal Layers Through Convolution Neural Network (CNN) in an OCT Image for Glaucoma Diagnosis. 1428-1442 - Anam Fatima, Ahmad Raza Shahid, Basit Raza
State-of-the-Art Traditional to the Machine- and Deep-Learning-Based Skull Stripping Techniques, Models, and Algorithms. 1443-1464 - Caixia Liu, Mingyong Pang
Extracting Lungs from CT Images via Deep Convolutional Neural Network Based Segmentation and Two-Pass Contour Refinement. 1465-1478 - Massimo Cristofaro, Pierluca Piselli
Patient Access to an Online Portal for Outpatient Radiological Images and Reports: Two Years' Experience. 1479-1486 - Rui Lebre
A Cloud-Ready Architecture for Shared Medical Imaging Repository. 1487-1498 - Jagjot Singh Wadali, Sanjay P. Sood
Evaluation of Free, Open-source, Web-based DICOM Viewers for the Indian National Telemedicine Service (eSanjeevani). 1499-1513 - Qifei Dong, Gang Luo, David R. Haynor, Michael O'Reilly, Ken Linnau, Ziv Yaniv
DicomAnnotator: a Configurable Open-Source Software Program for Efficient DICOM Image Annotation. 1514-1526 - Marco Eichelberg
Cybersecurity in PACS and Medical Imaging: an Overview. 1527-1542 - Toru Tanaka
Adaptive Voxel Matching for Temporal CT Subtraction. 1543-1553
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