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ORCIDJournal 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, Jason Nagels, Chris Carr, David S. Mendelson, Henri (Rik) Primo, Bernd Fischer, Matthew K. Doyle:
Interoperability and Considerations for Standards-Based Exchange of Medical Images: HIMSS-SIIM Collaborative White Paper. 6-16 - Andres Elovic, Ali Pourmand:
Lexicomp App Review. 17-20 - Andres Elovic, Ali Pourmand:
DynaMed Plus App Review. 21-24 - David M. Cohn, Tarub S. Mabud, Victoria A. Arendt, Andre D. Souffrant, Gyeong S. Jeon, Xiao An, William T. Kuo, Daniel Y. Sze, Lawrence V. Hofmann, Daniel L. Rubin:
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, David S. Mendelson, Daniel L. Rubin:
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, Julius Klever, Anne-Sophie Hoffmann, Denise Huber, Elisabeth Kaufmann, Sven Reese, Andrea Meyer-Lindenberg:
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, Jay Wu:
Model Image-Based Metal Artifact Reduction for Computed Tomography. 71-82 - Oren J. Mechanic, Nicholas D. Kurtzman, David T. Chiu, Larry A. Nathanson, Seth J. Berkowitz:
Point of Care Image Capture with a Custom Smartphone Application: Experience with an Encounter-Based Workflow. 83-87 - Gustavo H. M. B. Motta, Danilo A. B. Araújo, Juracy R. Lucena-Neto, Paulo M. Azevedo-Marques, Saulo da Silva Cordeiro, Severino A. Araújo-Neto:
Towards an Information Infrastructure for Medical Image Sharing. 88-98 - Alessio Virzì, Cécile Olivia Muller, Jean-Baptiste Marret, Eva Mille, Laureline Berteloot, David Grévent, Nathalie Boddaert, Pietro Gori, Sabine Sarnacki, Isabelle Bloch:
Comprehensive Review of 3D Segmentation Software Tools for MRI Usable for Pelvic Surgery Planning. 99-110 - Asif Ahmed Anik, Brian Arun Xavier, Jan Hansmann, Emmanuel Ansong, Jinsong Chen, Linping Zhao, Edward Michals:
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, Darco Lalevic, Charles Chambers, Hanna M. Zafar, Tessa Sundaram Cook:
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, Dan Hasting, Judy W. Gichoya, Ben McKibben, Lindsey Shea, Mark Frank:
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, S. Tamil Selvi, O. Jeba Singh:
Secondary Observer System for Detection of Microaneurysms in Fundus Images Using Texture Descriptors. 159-167 - Vallikutti Sathananthavathi, Indumathi Ganesan, Swetha Ranjani A.:
Parallel Architecture of Fully Convolved Neural Network for Retinal Vessel Segmentation. 168-180 - Xin Yi, Scott J. Adams, Paul S. Babyn, Abdul Elnajmi:
Automatic Catheter and Tube Detection in Pediatric X-ray Images Using a Scale-Recurrent Network and Synthetic Data. 181-190 - Faisal Rehman, Syed Irtiza Ali Shah, Muhammad Naveed Riaz, Syed Omer Gilani, Faiza R.:
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, Linghua Kong, Yanli Zhao:
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, Michal Zejmo, Marcin Skobel, Józef Korbicz, Roman Monczak:
Cell Nuclei Segmentation in Cytological Images Using Convolutional Neural Network and Seeded Watershed Algorithm. 231-242 - David Dreizin, Yuyin Zhou, Yixiao Zhang, Nikki Tirada, Alan L. Yuille:
Performance of a Deep Learning Algorithm for Automated Segmentation and Quantification of Traumatic Pelvic Hematomas on CT. 243-251 - Varun Srivastava, Ravindra Kumar Purwar:
Classification of CT Scan Images of Lungs Using Deep Convolutional Neural Network with External Shape-Based Features. 252-261 - Hyunna Lee, Kyesam Jung, Dong-Wha Kang, Namkug Kim:
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, Ramakrishnan Mukundan, Rex de Ryke:
Feature Enhancement in Medical Ultrasound Videos Using Contrast-Limited Adaptive Histogram Equalization. 273-285
Volume 33, Number 2, April 2020
- Edson F. Luque, Nelson J. O. Miranda, Daniel L. Rubin, Dilvan A. Moreira:
Automatic Staging of Cancer Tumors Using AIM Image Annotations and Ontologies. 287-303 - Omar Ibrahim Al Irr, Ashrani Aizzuddin Abd. Rahni:
Survey on Liver Tumour Resection Planning System: Steps, Techniques, and Parameters. 304-323 - Ramin Javan, Maureen Schickel, Yuanlong Zhao, Terry Agbo, Cullen Fleming, Parisa Heidari, Taha Gholipour, Donald C. Shields, Mohamad Koubeissi:
Using 3D-Printed Mesh-Like Brain Cortex with Deep Structures for Planning Intracranial EEG Electrode Placement. 324-333 - Fatemeh Homayounieh, Ramandeep Singh, Tianqi Chen, Ellen J. Sugarman, Thomas J. Schultz, Subba R. Digumarthy, Keith J. Dreyer, Mannudeep K. Kalra:
Viewing Imaging Studies: How Patient Location and Imaging Site Affect Referring Physicians. 334-340 - Lingtao Yu, Pengcheng Wang, Xiaoyan Yu, Yusheng Yan, Yongqiang Xia:
A Holistically-Nested U-Net: Surgical Instrument Segmentation Based on Convolutional Neural Network. 341-347 - Sadaf Sahraian, Matthew D. Alvin, Arya Haj-Mirzaian, Rozita Jalilianhasanpour, Elham Beheshtian, Evan Honig, Mona Shahriari, Mert Uzner, Shadpour Demehri, David M. Yousem:
Musculoskeletal Radiology Reports: Overlooked or Valuable? 348-354 - Ameena Elahi, Donovan Reid, Regina O. Redfern, Charles E. Kahn, Tessa Sundaram Cook:
Automating Import and Reconciliation of Outside Examinations Submitted to an Academic Radiology Department. 355-360 - Roopa B. Hegde, Keerthana Prasad, Harishchandra Hebbar, Brij Mohan Kumar Singh, Ilanthodi Sandhya:
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, Keivan Maghooli, Mohammad MomenGharibvand, Stephen Pistorius:
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, Alireza Karimian, Mehri Sirous:
Assessing the Bone Age of Children in an Automatic Manner Newborn to 18 Years Range. 399-407 - Karin Dembrower, Peter Lindholm, Fredrik Strand:
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, Xiangtong Liu, Xiuhua Guo:
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, Xiubao Sui, Chengwei Liu, Xiaodong Kuang, Yong Hu:
Automatic Lumbar Spine Tracking Based on Siamese Convolutional Network. 423-430 - Vikash Gupta, Mutlu Demirer, Matthew T. Bigelow, Kevin J. Little, Sema Candemir, Luciano M. Prevedello, Richard D. White, Thomas P. O'Donnell, Michael Wels, Barbaros S. Erdal:
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, Kyle W. Singleton, Pamela R. Jackson, Cassandra R. Rickertsen, Scott A. Whitmire, Kamala R. Clark-Swanson, Joseph Ross Mitchell, Kristin R. Swanson, Leland S. Hu:
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, Andrei Iagaru, Guido A. Davidzon:
Performance Comparison of Individual and Ensemble CNN Models for the Classification of Brain 18F-FDG-PET Scans. 447-455 - Elizabeth Silvestro, Khalil N. Betts, Michael L. Francavilla, Savvas Andronikou, Raymond W. Sze:
Imaging Properties of Additive Manufactured (3D Printed) Materials for Potential Use for Phantom Models. 456-464 - T. Kalaiselvi, P. Kumarashankar, Padmanaban Sriramakrishnan:
Three-Phase Automatic Brain Tumor Diagnosis System Using Patches Based Updated Run Length Region Growing Technique. 465-479 - Jordy K. van Zandwijk, Volkan Tuncay, Rozemarijn Vliegenthart, Gert Jan Pelgrim, Cornelis H. Slump, Matthijs Oudkerk, Peter M. A. van Ooijen:
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, Anouk Stein, Carol C. Wu, Veronica A. Arteaga, Stephen Borstelmann, Ramya Gaddikeri, Maya Galperin-Aizenberg, Ritu R. Gill, Myrna C. Godoy, Stephen B. Hobbs, Jean Jeudy, Paras Lakhani, Archana Laroia, Sundeep M. Nayak, Maansi R. Parekh, Prasanth Prasanna, Palmi Shah, Dharshan Vummidi, Kavitha Yaddanapudi, George Shih:
Crowdsourcing pneumothorax annotations using machine learning annotations on the NIH chest X-ray dataset. 490-496 - Hiroki Kobayashi, Ryohei Nakayama, Akiyoshi Hizukuri, Masaki Ishida, Kakuya Kitagawa, Hajime Sakuma:
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, Meenakshi Sood, Emjee Puthooran:
A Block Adaptive Near-Lossless Compression Algorithm for Medical Image Sequences and Diagnostic Quality Assessment. 516-530 - Takashi Mizukuchi, Takeshi Uemura, Satoru Kondo, Shinji Abe, Shiro Adachi, Naoki Okumura, Takahisa Kondo, Shuji Koyama:
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, Brianna L. Vey, Tessa Sundaram Cook, Paul G. Nagy, Ross W. Filice, Kenneth C. Wang, Patricia C. Balthazar, Peter Harri, Nabile M. Safdar:
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, Marjan Ghazi Saeedi, Nasrin Ahmadinejad, Masoumeh Giti, Habibe Amjadi, Azin Nahvijou:
Automated Misspelling Detection and Correction in Persian Clinical Text. 555-562 - Rim Messaoudi, Achraf Mtibaa, Antoine Vacavant, Faïez Gargouri, Faouzi Jaziri:
Ontologies for Liver Diseases Representation: A Systematic Literature Review. 563-573 - Dang N. H. Thanh, V. B. Surya Prasath, Le Minh Hieu, Nguyen Ngoc Hien:
Melanoma Skin Cancer Detection Method Based on Adaptive Principal Curvature, Colour Normalisation and Feature Extraction with the ABCD Rule. 574-585 - Anton S. Becker, Julian Kirchner, Thomas Sartoretti, Soleen Ghafoor, Sungmin Woo, Chong Hyun Suh, Joseph P. Erinjeri, Hedvig Hricak, Herbert Alberto Vargas:
Interactive, Up-to-date Meta-Analysis of MRI in the Management of Men with Suspected Prostate Cancer. 586-594 - Najmeh Hasani, AghaFatemeh Hosseini, Abbas Sheikhtaheri:
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, Jin-Ju Lee:
Automated Cardiovascular Pathology Assessment Using Semantic Segmentation and Ensemble Learning. 607-612 - Tsung-Ying Ho, Chun-Hung Chao, Shy Chyi Chin, Shu-Hang Ng, Chung-Jan Kang, Ngan-Ming Tsang:
Classifying Neck Lymph Nodes of Head and Neck Squamous Cell Carcinoma in MRI Images with Radiomic Features. 613-618 - Vidya Kudva, Keerthana Prasad, Shyamala Guruvare:
Hybrid Transfer Learning for Classification of Uterine Cervix Images for Cervical Cancer Screening. 619-631 - Shallu Sharma, Rajesh Mehra:
Conventional Machine Learning and Deep Learning Approach for Multi-Classification of Breast Cancer Histopathology Images - a Comparative Insight. 632-654 - Amitava Halder, Debangshu Dey, Anup K. Sadhu:
Lung Nodule Detection from Feature Engineering to Deep Learning in Thoracic CT Images: a Comprehensive Review. 655-677 - Ganesh Singadkar, Abhishek Mahajan, Meenakshi Thakur, Sanjay N. Talbar:
Deep Deconvolutional Residual Network Based Automatic Lung Nodule Segmentation. 678-684 - Fangfang Han, Linkai Yan, Junxin Chen, Yueyang Teng, Shuo Chen, Shouliang Qi, Wei Qian, Jie Yang, William Moore, Shu Zhang, Zhengrong Liang:
Predicting Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset by Transfer Learning. 685-696 - Ivan Drnasin, Mislav Grgic, Gordan Gledec:
Exploring WebRTC Potential for DICOM File Sharing. 697-707 - Altay Brusan, F. Aytaç Durmaz, Alper Yaman, Cengizhan Öztürk:
iBEX: Modular Open-Source Software for Digital Radiography. 708-721 - Nagasai Adusumilli:
Mobile MIM: a Portable Solution in Imaging. 722-725 - Morgan P. McBee, Chad Wilcox:
Blockchain Technology: Principles and Applications in Medical Imaging. 726-734 - Supriya Gupta, Elizabeth M. Johnson, Justin G. Peacock, Liwei Jiang, Morgan P. McBee, Michael B. Sneider, Elizabeth A. Krupinski:
Radiology, Mobile Devices, and Internet of Things (IoT). 735-746 - Romane Gauriau, Christopher P. Bridge, Lina Chen, Felipe Kitamura, Neil A. Tenenholtz, John E. Kirsch, Katherine P. Andriole, Mark H. Michalski, Bernardo C. Bizzo:
Using DICOM Metadata for Radiological Image Series Categorization: a Feasibility Study on Large Clinical Brain MRI Datasets. 747-762 - Samson Chibuta, Aybar C. Acar:
Real-time Malaria Parasite Screening in Thick Blood Smears for Low-Resource Setting. 763-775 - Ramin Javan, Aditya Rao, Bryan S. Jeun, Aalap Herur-Raman, Neha Singh, Parisa Heidari:
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, Sun K. Yoo:
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, Sung Il Hwang, Hak Jong Lee:
A Weak and Semi-supervised Segmentation Method for Prostate Cancer in TRUS Images. 838-845 - Wangxia Zuo, Fuqiang Zhou, Yuzhu He:
An Embedded Multi-branch 3D Convolution Neural Network for False Positive Reduction in Lung Nodule Detection. 846-857 - Felipe André Zeiser, Cristiano André da Costa, Tiago Zonta, Nuno M. C. Marques, Adriana Vial Roehe, Marcelo Moreno, Rodrigo da Rosa Righi:
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, Carlo Ricciardi, Renato Cuocolo, Valeria Romeo, Jessica Petrone, Michela Sarnataro, Pier Paolo Mainenti, Giovanni Improta, Filippo De Rosa, Luigi Insabato, Arturo Brunetti, Simone Maurea:
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, Rakesh Kumar Mandal:
Prediction of Non-small Cell Lung Cancer Histology by a Deep Ensemble of Convolutional and Bidirectional Recurrent Neural Network. 895-902 - Hiba Mzoughi, Ines Njeh, Ali Wali, Mohamed Ben Slima, Ahmed Ben Hamida, Chokri Mhiri, Kharedine Ben Mahfoudhe:
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, Kalijah L. Terilli, E. Perez, Murad Megjhani, Cathleen A. Cooper, Sachin Jambawalikar, Soojin Park:
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, Samuel Kadoury:
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, Umut Özkaya:
Skin Lesion Segmentation with Improved Convolutional Neural Network. 958-970 - Muhammad Kashif, Gulistan Raja, Furqan Shaukat:
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, Farouk Dako, Jonathan Zember, Bunmi Ojetayo, Dale A. Gerus, Alan Schweitzer, Daniel J. Mollura, Omer Awan:
Overcoming Challenges for Successful PACS Installation in Low-Resource Regions: Our Experience in Nigeria. 996-1001 - J. Martijn Nobel, Sander Puts, Frans C. H. Bakers, Simon G. F. Robben, André L. A. J. Dekker:
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, Leon Liman, Maximilian Ertl, Georg Fette, Lea Katharina Seidlmayer, Laura Maria Schreiber, Frank Puppe, Stefan Störk:
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