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ORCIDJournal of Digital Imaging, Volume 32
Volume 32, Number 1, February 2019
- Justin Buro:
App Review Series: Doximity. 1-5 - Amir M. Tahmasebi
, Henghui Zhu, Gabriel Mankovich, Peter Prinsen, Prescott Klassen, Sam Pilato, Rob van Ommering, Pritesh Patel, Martin L. Gunn, Paul Chang:
Automatic Normalization of Anatomical Phrases in Radiology Reports Using Unsupervised Learning. 6-18 - Walter Koza, Darío Filippo, Viviana Cotik, Vanesa Stricker, Mirian Muñoz, Ninoska Godoy, Natalia Rivas, Ricardo Martínez-Gamboa:
Automatic Detection of Negated Findings in Radiological Reports for Spanish Language: Methodology Based on Lexicon-Grammatical Information Processing. 19-29 - Hari Trivedi, Maryam Panahiazar, April Liang, Dmytro Lituiev, Peter Chang, Jae Ho Sohn, Yunn-Yi Chen, Benjamin L. Franc, Bonnie Joe, Dexter Hadley:
Large Scale Semi-Automated Labeling of Routine Free-Text Clinical Records for Deep Learning. 30-37 - Justin Sutherland, Jason Belec, Adnan Sheikh, Leonid L. Chepelev, Waleed Althobaity, Benjamin J. W. Chow, Dimitrios Mitsouras, Andy Christensen, Frank J. Rybicki, Daniel Jimenez-Carretero:
Applying Modern Virtual and Augmented Reality Technologies to Medical Images and Models. 38-53 - Mona Alhajeri, Syed Ghulam Sarwar Shah:
Limitations in and Solutions for Improving the Functionality of Picture Archiving and Communication System: an Exploratory Study of PACS Professionals' Perspectives. 54-67 - Sebastian Nowak, Alois M. Sprinkart:
Synchronization and Alignment of Follow-up Examinations: a Practical and Educational Approach Using the DICOM Reference Coordinate System. 68-74 - Dan Kayhart:
Using an Existing DICOM Infrastructure to Enhance the Availability, Quality, and Efficiency of Imaging Throughout the Healthcare Enterprise. 75-80 - Hongyu Chen, Vineeth Gangaram, George Shih:
Developing a More Responsive Radiology Resident Dashboard. 81-90 - Brianna L. Vey, Tessa Sundaram Cook, Paul G. Nagy, Richard J. Bruce, Ross W. Filice, Kenneth C. Wang, Nabile M. Safdar:
A Survey of Imaging Informatics Fellowships and Their Curricula: Current State Assessment. 91-96 - Dominique Duncan, Rachael Garner, Ivan Zrantchev, Tyler Ard, Bradley Newman, Adam Saslow, Emily Wanserski, Arthur W. Toga:
Using Virtual Reality to Improve Performance and User Experience in Manual Correction of MRI Segmentation Errors by Non-experts. 97-104 - Farnaz Hoseini, Asadollah Shahbahrami, Peyman Bayat:
AdaptAhead Optimization Algorithm for Learning Deep CNN Applied to MRI Segmentation. 105-115 - Rim Messaoudi, Faouzi Jaziri, Achraf Mtibaa, Manuel Grand-Brochier, Hawa Mohamed Ali, Ali Amouri, Hela Fourati, Pascal Chabrot, Faïez Gargouri, Antoine Vacavant:
Ontology-Based Approach for Liver Cancer Diagnosis and Treatment. 116-130 - Hongjun Yoon, Joohyung Lee, Ji Eun Oh, Hong Rae Kim, Seonhye Lee, Hee Jin Chang, Dae Kyung Sohn:
Tumor Identification in Colorectal Histology Images Using a Convolutional Neural Network. 131-140 - Richard Ha, Peter D. Chang, Eralda Mema, Simukayi Mutasa, Jenika Karcich, Ralph T. Wynn, Michael Z. Liu, Sachin Jambawalikar:
Fully Automated Convolutional Neural Network Method for Quantification of Breast MRI Fibroglandular Tissue and Background Parenchymal Enhancement. 141-147 - Herng-Hua Chang, Yu-Ju Lin, Audrey H. Zhuang:
An Automatic Parameter Decision System of Bilateral Filtering with GPU-Based Acceleration for Brain MR Images. 148-161 - Bahar Khorram, Mehran Yazdi:
A New Optimized Thresholding Method Using Ant Colony Algorithm for MR Brain Image Segmentation. 162-174 - Choonsik Lee, Gleb A. Kuzmin, Jinyong Bae, Jianhua Yao, Elizabeth Mosher, Les R. Folio:
Automatic Mapping of CT Scan Locations on Computational Human Phantoms for Organ Dose Estimation. 175-182 - Lichun Zhang, Dehui Xiang, Chao Jin, Fei Shi, Kai Yu, Xinjian Chen:
OIPAV: an Integrated Software System for Ophthalmic Image Processing, Analysis, and Visualization. 183-197
Volume 32, Number 2, April 2019
- Elizabeth A. Krupinski:
Writing Systematic Reviews of the Literature - It Really Is a Systematic Process! 199-200 - Andres Elovic, Ali Pourmand:
Lung Nodule Manager App Review. 201-202 - Kimberly Middleton, Stacey Curtis:
Glomerular Filtration Rate Calculator App Review. 203-205 - Ross W. Filice, Charles E. Kahn Jr.:
Integrating an Ontology of Radiology Differential Diagnosis with ICD-10-CM, RadLex, and SNOMED CT. 206-210 - Chen Sirota-Cohen, Beverly Rosipko, Daniel Forsberg, Jeffrey L. Sunshine:
Implementation and Benefits of a Vendor-Neutral Archive and Enterprise-Imaging Management System in an Integrated Delivery Network. 211-220 - Tali Amir, Bonmyong Lee, Ryan W. Woods, Lisa A. Mullen, Susan C. Harvey:
A Pilot of Data-Driven Modeling to Assess Potential for Improved Efficiency in an Academic Breast-Imaging Center. 221-227 - Dmytro S. Lituiev, Hari Trivedi, Maryam Panahiazar, Beau Norgeot, Youngho Seo, Benjamin L. Franc, Roy Harnish, Michael Kawczynski, Dexter Hadley:
Automatic Labeling of Special Diagnostic Mammography Views from Images and DICOM Headers. 228-233 - Linda C. Kelahan, Allan Fong, Joseph Blumenthal, Swaminathan Kandaswamy, Raj M. Ratwani, Ross W. Filice:
The Radiologist's Gaze: Mapping Three-Dimensional Visual Search in Computed Tomography of the Abdomen and Pelvis. 234-240 - Pierre Decazes, David Tonnelet, Pierre Vera, Isabelle Gardin:
Anthropometer3D: Automatic Multi-Slice Segmentation Software for the Measurement of Anthropometric Parameters from CT of PET/CT. 241-250 - Scott F. Stekel, Zaiyang Long, Donald J. Tradup, Nicholas J. Hangiandreou:
Use of Image-Based Analytics for Ultrasound Practice Management and Efficiency Improvement. 251-259 - Ethan J. Speir, C. Matthew Hawkins, Michael J. Weiler, Michael Briones, Rachel Swerdlin, Solomon Park, J. Brandon Dixon:
Volumetric Assessment of Pediatric Vascular Malformations Using a Rapid, Hand-Held Three-Dimensional Imaging System. 260-268 - Rong Yuan, Shuyue Shi, Junhui Chen, Guanxun Cheng:
Radiomics in RayPlus: a Web-Based Tool for Texture Analysis in Medical Images. 269-275 - Richard Ha, Simukayi Mutasa, Jenika Karcich, Nishant Gupta, Eduardo Pascual Van Sant, John Nemer, Mary Sun, Peter D. Chang, Michael Z. Liu, Sachin Jambawalikar:
Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm. 276-282 - Fuk-hay Tang, Jasmine L. C. Chan, Bill K. L. Chan:
Accurate Age Determination for Adolescents Using Magnetic Resonance Imaging of the Hand and Wrist with an Artificial Neural Network-Based Approach. 283-289 - Zongwei Zhou, Jae Y. Shin, Ruibin Feng, R. Todd Hurst, Christopher B. Kendall, Jianming Liang:
Integrating Active Learning and Transfer Learning for Carotid Intima-Media Thickness Video Interpretation. 290-299 - Oishila Bandyopadhyay, Arindam Biswas, Bhargab B. Bhattacharya:
Bone-Cancer Assessment and Destruction Pattern Analysis in Long-Bone X-ray Image. 300-313 - Asli Beril Karakas, Figen Govsa, Mehmet Asim Ozer, Cenk Eraslan:
3D Brain Imaging in Vascular Segmentation of Cerebral Venous Sinuses. 314-321 - Subbiahpillai Neelakantapillai Kumar, A. Lenin Fred, P. Sebastin Varghese:
Suspicious Lesion Segmentation on Brain, Mammograms and Breast MR Images Using New Optimized Spatial Feature Based Super-Pixel Fuzzy C-Means Clustering. 322-335 - Xuchu Wang, Suiqiang Zhai, Yanmin Niu:
Automatic Vertebrae Localization and Identification by Combining Deep SSAE Contextual Features and Structured Regression Forest. 336-348
Volume 32, Number 3, June 2019
- Teresa Martin-Carreras, Charles E. Kahn Jr.:
Integrating Wikipedia Articles and Images into an Information Resource for Radiology Patients. 349-353 - Rita Noumeir:
Active Learning of the HL7 Medical Standard. 354-361 - Shrikant A. Mehre, Ashis Kumar Dhara, Mandeep Garg, Naveen Kalra, Niranjan Khandelwal, Sudipta Mukhopadhyay:
Content-Based Image Retrieval System for Pulmonary Nodules Using Optimal Feature Sets and Class Membership-Based Retrieval. 362-385 - Usha Nandini Raghavan, Christopher S. Hall, Ranjith Tellis, Thusitha De Silva Mabotuwana, Christoph Wald:
Probabilistic Modeling of Exam Durations in Radiology Procedures. 386-395 - Suzanne O'Hagan, Carl J. Lombard, Richard D. Pitcher:
The Role of the Integrated Digital Radiology System in Assessing the Impact of Patient Load on Emergency Computed Tomography (CT) Efficiency. 396-400 - Travis Browning, Sura Giri, Ronald M. Peshock, Julia Fielding:
Utilization of Structured Reporting to Monitor Outcomes of Doppler Ultrasound Performed for Deep Vein Thrombosis. 401-407 - Lev Barinov, Ajit Jairaj, Murray Becker, S. Seymour, Ellen Lee, Adriann Schram, Elizabeth Lane, Alberto Goldszal, Diane Quigley, Lina Paster:
Impact of Data Presentation on Physician Performance Utilizing Artificial Intelligence-Based Computer-Aided Diagnosis and Decision Support Systems. 408-416 - Peter Y. W. Chan, Charles E. Kahn Jr.:
Evaluating Completeness of a Radiology Glossary Using Iterative Refinement. 417-419 - Jose D. Velazco Garcia, Nikhil V. Navkar, Dawei Gui, Cristina Marie Morales Mojica, Eftychios G. Christoforou, Alpay Özcan, Julien Abinahed, Abdulla Al-Ansari, Andrew G. Webb, Ioannis Seimenis, Nikolaos V. Tsekos:
A Platform Integrating Acquisition, Reconstruction, Visualization, and Manipulator Control Modules for MRI-Guided Interventions. 420-432 - Fatah Bouchebbah, Hachem Slimani:
Levels Propagation Approach to Image Segmentation: Application to Breast MR Images. 433-449 - Junghwan Cho, Ki-Su Park, Manohar Karki, Eunmi Lee, Seokhwan Ko, Jong Kun Kim, Dongeun Lee, Jaeyoung Choe, Jeongwoo Son, Myungsoo Kim, Sukhee Lee, Jeongho Lee, Changhyo Yoon, Sinyoul Park:
Improving Sensitivity on Identification and Delineation of Intracranial Hemorrhage Lesion Using Cascaded Deep Learning Models. 450-461 - Lijun Zhao, Zixiao Lu, Jun Jiang, Yujia Zhou, Yi Wu, Qianjin Feng:
Automatic Nasopharyngeal Carcinoma Segmentation Using Fully Convolutional Networks with Auxiliary Paths on Dual-Modality PET-CT Images. 462-470 - Berk Norman, Valentina Pedoia, Adam Noworolski, Thomas M. Link, Sharmila Majumdar:
Applying Densely Connected Convolutional Neural Networks for Staging Osteoarthritis Severity from Plain Radiographs. 471-477 - K. S. Kim, S. Y. Kang, C. K. Park, G. A. Kim, S. Y. Park, Hyosung Cho, C. W. Seo, Dongyeon Lee, H. W. Lim, H. W. Lee, J. E. Park, T. H. Woo, J. E. Oh:
A Compressed-Sensing Based Blind Deconvolution Method for Image Deblurring in Dental Cone-Beam Computed Tomography. 478-488 - Donghoon Lee, Hee-Joung Kim:
Restoration of Full Data from Sparse Data in Low-Dose Chest Digital Tomosynthesis Using Deep Convolutional Neural Networks. 489-498 - Jaemin Son, Sang Jun Park, Kyu-Hwan Jung:
Towards Accurate Segmentation of Retinal Vessels and the Optic Disc in Fundoscopic Images with Generative Adversarial Networks. 499-512 - Yujing Zhou, Yuan Liu, Qian Chen, Guohua Gu, Xiubao Sui:
Automatic Lumbar MRI Detection and Identification Based on Deep Learning. 513-520 - Luis F. R. Taveira, Tahsin M. Kurç, Alba C. M. A. Melo, Jun Kong, Erich Bremer, Joel H. Saltz, George Teodoro:
Multi-objective Parameter Auto-tuning for Tissue Image Segmentation Workflows. 521-533
Volume 32, Number 4, August 2019
- Henri (Rik) Primo, Matthew Bishop, Louis M. Lannum, Dawn Cram, Abe Nader, Roger Boodoo:
10 Steps to Strategically Build and Implement your Enterprise Imaging System: HIMSS-SIIM Collaborative White Paper. 535-543 - Selen Bozkurt, Emel Alkim, Imon Banerjee, Daniel L. Rubin:
Automated Detection of Measurements and Their Descriptors in Radiology Reports Using a Hybrid Natural Language Processing Algorithm. 544-553 - Jackson M. Steinkamp, Charles Chambers, Darco Lalevic, Hanna M. Zafar, Tessa Sundaram Cook:
Toward Complete Structured Information Extraction from Radiology Reports Using Machine Learning. 554-564 - Paul H. Yi, Abigail Lin, Jinchi Wei, Alice C. Yu, Haris I. Sair, Ferdinand K. Hui, Gregory D. Hager, Susan C. Harvey:
Deep-Learning-Based Semantic Labeling for 2D Mammography and Comparison of Complexity for Machine Learning Tasks. 565-570 - Kenneth A. Philbrick, Alexander D. Weston, Zeynettin Akkus, Timothy L. Kline, Panagiotis Korfiatis, Tomas Sakinis, Petro M. Kostandy, Arunnit Boonrod, Atefeh Zeinoddini, Naoki Takahashi, Bradley J. Erickson:
RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning. 571-581 - Mohammad Hesam Hesamian, Wenjing Jia, Xiangjian He, Paul J. Kennedy:
Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges. 582-596 - Joseph N. Stember, Haydar Celik, Elizabeth A. Krupinski, Peter D. Chang, Simukayi Mutasa, Bradford J. Wood, A. Lignelli, Gul Moonis, Lawrence H. Schwartz, Sachin Jambawalikar, Ulas Bagci:
Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks. 597-604 - Md. Zahangir Alom, Chris Yakopcic, Mst Shamima Nasrin, Tarek M. Taha, Vijayan K. Asari:
Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network. 605-617 - Ray Cody Mayo, Daniel Kent, Lauren Chang Sen, Megha Kapoor, Jessica W. T. Leung, Alyssa T. Watanabe:
Reduction of False-Positive Markings on Mammograms: a Retrospective Comparison Study Using an Artificial Intelligence-Based CAD. 618-624 - Alyssa T. Watanabe, Vivian Lim, Hoanh X. Vu, Richard Chim, Eric Weise, Jenna Liu, William G. Bradley, Christopher E. Comstock:
Improved Cancer Detection Using Artificial Intelligence: a Retrospective Evaluation of Missed Cancers on Mammography. 625-637 - Seokmin Han, Sung Il Hwang, Hak Jong Lee:
The Classification of Renal Cancer in 3-Phase CT Images Using a Deep Learning Method. 638-643 - Ross W. Filice:
Lens Identification to Prevent Radiation-Induced Cataracts Using Convolutional Neural Networks. 644-650 - Varun Singh, Varun Danda, Richard J. T. Gorniak, Adam E. Flanders, Paras Lakhani:
Assessment of Critical Feeding Tube Malpositions on Radiographs Using Deep Learning. 651-655 - Ross W. Filice, Shelby K. Frantz:
Effectiveness of Deep Learning Algorithms to Determine Laterality in Radiographs. 656-664 - Sehyo Yune, Hyunkwang Lee, Myeongchan Kim, Shahein H. Tajmir, Michael S. Gee, Synho Do:
Beyond Human Perception: Sexual Dimorphism in Hand and Wrist Radiographs Is Discernible by a Deep Learning Model. 665-671 - Gene Kitamura, Chul Y. Chung, Barry E. Moore II:
Ankle Fracture Detection Utilizing a Convolutional Neural Network Ensemble Implemented with a Small Sample, De Novo Training, and Multiview Incorporation. 672-677
Volume 32, Number 5, October 2019
- Andres Elovic, Ali Pourmand:
Thoracic Lymph Node Map App Review. 679-681 - Andres Elovic, Ali Pourmand:
MDCalc Medical Calculator App Review. 682-684 - Ryan G. Short, John Bralich, Dave Bogaty, Nicholas T. Befera:
Comprehensive Word-Level Classification of Screening Mammography Reports Using a Neural Network Sequence Labeling Approach. 685-692 - Richard Ha, Christine Chin, Jenika Karcich, Michael Z. Liu, Peter D. Chang, Simukayi Mutasa, Eduardo Pascual Van Sant, Ralph T. Wynn, Eileen Connolly, Sachin Jambawalikar:
Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset. 693-701 - Ziba Gandomkar, Patrick C. Brennan, Claudia Mello-Thoms:
Computer-Assisted Nuclear Atypia Scoring of Breast Cancer: a Preliminary Study. 702-712 - Dar-Ren Chen, Yao-Wen Chang, Hwa-Koon Wu, Wei-Chung Shia, Yu-Len Huang:
Multiview Contouring for Breast Tumor on Magnetic Resonance Imaging. 713-727 - Vikrant Anilrao Karale, Joshua Peter Ebenezer, Jayasree Chakraborty, Tulika Singh, Anup K. Sadhu, Niranjan Khandelwal, Sudipta Mukhopadhyay:
A Screening CAD Tool for the Detection of Microcalcification Clusters in Mammograms. 728-745 - Suneeta Mall, Patrick C. Brennan, Claudia Mello-Thoms:
Can a Machine Learn from Radiologists' Visual Search Behaviour and Their Interpretation of Mammograms - a Deep-Learning Study. 746-760 - Alessandra C. Gasior, Carlos Reck, Victoria Lane, Richard J. Wood, Jeremy Patterson, Robert Strouse, Simon M. Lin, Jennifer N. Cooper, D. Gregory Bates, Marc A. Levitt:
Transcending Dimensions: a Comparative Analysis of Cloaca Imaging in Advancing the Surgeon's Understanding of Complex Anatomy. 761-765 - Yicheng Chen, Javier E. Villanueva-Meyer, Melanie A. Morrison, Janine M. Lupo:
Toward Automatic Detection of Radiation-Induced Cerebral Microbleeds Using a 3D Deep Residual Network. 766-772 - Sydney Kaplan, Yang-Ming Zhu:
Full-Dose PET Image Estimation from Low-Dose PET Image Using Deep Learning: a Pilot Study. 773-778 - Minho Lee, June-Goo Lee, Namkug Kim, Joon Beom Seo, Sang Min Lee:
Hybrid Airway Segmentation Using Multi-Scale Tubular Structure Filters and Texture Analysis on 3D Chest CT Scans. 779-792 - Ruba Alkadi, Fatma Taher, Ayman El-Baz, Naoufel Werghi:
A Deep Learning-Based Approach for the Detection and Localization of Prostate Cancer in T2 Magnetic Resonance Images. 793-807 - Joseph N. Stember, Peter D. Chang, Danielle M. Stember, Michael Z. Liu, Jack Grinband, Christopher G. Filippi, Philip Meyers, Sachin Jambawalikar:
Convolutional Neural Networks for the Detection and Measurement of Cerebral Aneurysms on Magnetic Resonance Angiography. 808-815 - Kenneth C. Wang, Anja Jones, Shivkumar Kambhampati, Mohit N. Gilotra, Peter C. Liacouras, Satre Stuelke, Brian Shiu, Natalie Leong, S. Ashfaq Hasan, Eliot L. Siegel:
CT-Based 3D Printing of the Glenoid Prior to Shoulder Arthroplasty: Bony Morphology and Model Evaluation. 816-826 - Elizabeth A. Krupinski:
Impact of Patient Photos on Detection Accuracy, Decision Confidence and Eye-Tracking Parameters in Chest and Abdomen Images with Tubes and Lines. 827-831 - Peter M. Kuzmak, Charles Demosthenes, April Y. Maa:
Exporting Diabetic Retinopathy Images from VA VistA Imaging for Research. 832-840 - Stig Holm Jensen, Iben Duvald, Rasmus Aagaard, Stine Catharina Primdahl, Poul Petersen, Hans Kirkegaard, Jesper Weile:
Remote Real-Time Ultrasound Supervision via Commercially Available and Low-Cost Tele-Ultrasound: a Mixed Methods Study of the Practical Feasibility and Users' Acceptability in an Emergency Department. 841-848 - Brandon Lee, Amanda Abbott, S. Davidson, Leonid Syrkin, Greg LeFever, Annick D. Van den Abbeele:
Centralized Clinical Trial Imaging Data Management: Practical Guidance from a Comprehensive Cancer Center's Experience. 849-854 - Alfredo Lucas, Kang Wang, Cynthia Santillan, Albert Hsiao, Claude B. Sirlin, Paul M. Murphy:
Image Annotation by Eye Tracking: Accuracy and Precision of Centerlines of Obstructed Small-Bowel Segments Placed Using Eye Trackers. 855-864 - Ish A. Talati, Pranay Krishnan, Ross W. Filice:
Developing Deeper Radiology Exam Insight to Optimize MRI Workflow and Patient Experience. 865-869 - Tiago Marques Godinho, Rui Lebre, João Rafael Almeida, Carlos Costa:
ETL Framework for Real-Time Business Intelligence over Medical Imaging Repositories. 870-879 - Viswanathan Venkataraman, Travis Browning, Ivan Pedrosa, Suhny Abbara, David Fetzer, Seth M. Toomay, Ronald M. Peshock:
Implementing Shared, Standardized Imaging Protocols to Improve Cross-Enterprise Workflow and Quality. 880-887 - Ian Pan, Saurabh Agarwal, Derek Merck:
Generalizable Inter-Institutional Classification of Abnormal Chest Radiographs Using Efficient Convolutional Neural Networks. 888-896 - Steve G. Langer, George Shih, Paul G. Nagy, Bennett A. Landman:
Correction to: Collaborative and Reproducible Research: Goals, Challenges, and Strategies. 897 - Yicheng Chen, Javier E. Villanueva-Meyer, Melanie A. Morrison, Janine M. Lupo:
Correction to: Toward Automatic Detection of Radiation-Induced Cerebral Microbleeds Using a 3D Deep Residual Network. 898
Volume 32, Number 6, December 2019
- Maryam Akhavan Aghdam, Arash Sharifi, Mir Mohsen Pedram:
Diagnosis of Autism Spectrum Disorders in Young Children Based on Resting-State Functional Magnetic Resonance Imaging Data Using Convolutional Neural Networks. 899-918 - Jason Nagels, Sida Wu, Valentina Gorokhova:
Deterministic vs. Probabilistic: Best Practices for Patient Matching Based on a Comparison of Two Implementations. 919-924 - Tae Kyung Kim, Paul H. Yi, Jinchi Wei, Ji Won Shin, Gregory D. Hager, Ferdinand K. Hui, Haris I. Sair, Cheng Ting Lin:
Deep Learning Method for Automated Classification of Anteroposterior and Posteroanterior Chest Radiographs. 925-930 - Donglai Huo, Mark Kiehn, Ann Scherzinger:
Investigation of Low-Dose CT Lung Cancer Screening Scan "Over-Range" Issue Using Machine Learning Methods. 931-938 - Robert J. Harris, Shwan Kim, Jerry Lohr, Steve Towey, Zeljko Velichkovich, Tim Kabachenko, Ian Driscoll, Brian Baker:
Classification of Aortic Dissection and Rupture on Post-contrast CT Images Using a Convolutional Neural Network. 939-946 - Joaquim de Moura, Jorge Novo, José Rouco, Pablo Charlón, Marcos Ortega:
Artery/Vein Vessel Tree Identification in Near-Infrared Reflectance Retinographies. 947-962 - Türker Acar, Asli Beril Karakas, Mehmet Asim Ozer, Ali Murat Koc, Figen Govsa:
Building Three-Dimensional Intracranial Aneurysm Models from 3D-TOF MRA: a Validation Study. 963-970 - Qin Wang, Fengyi Shen, Linyao Shen, Jia Huang, Weiguang Sheng:
Lung Nodule Detection in CT Images Using a Raw Patch-Based Convolutional Neural Network. 971-979