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ORCIDJournal of Digital Imaging, Volume 34
Volume 34, Number 1, February 2021
- Alexander J. Towbin, Christopher J. Roth
, Cheryl A. Petersilge, Kimberley M. Garriott, Kenneth A. Buckwalter, David A. Clunie:
The Importance of Body Part Labeling to Enable Enterprise Imaging: A HIMSS-SIIM Enterprise Imaging Community Collaborative White Paper. 1-15 - Andrea Seung Kim, Wei-Chung Cheng, Ryan Beams, Aldo Badano:
Color Rendering in Medical Extended-Reality Applications. 16-26 - Paul H. Yi, Dhananjay Singh, Susan C. Harvey, Gregory D. Hager, Lisa A. Mullen:
DeepCAT: Deep Computer-Aided Triage of Screening Mammography. 27-35 - Osmando Pereira Junior, Helder Cesar Rodigues de Oliveira, Carolina Toledo Ferraz, José Hiroki Saito, Marcelo Andrade da Costa Vieira, Adilson Gonzaga:
A Novel Fusion-Based Texture Descriptor to Improve the Detection of Architectural Distortion in Digital Mammography. 36-52 - David Dreizin, Florian Goldmann, Christina LeBedis, Alexis Boscak, Matthew Dattwyler, Uttam Bodanapally, Guang Li, Stephan Anderson, Andreas Maier, Mathias Unberath:
An Automated Deep Learning Method for Tile AO/OTA Pelvic Fracture Severity Grading from Trauma whole-Body CT. 53-65 - Xiang Fang, Leah Harris, Wei Zhou, Donglai Huo:
Generalized Radiographic View Identification with Deep Learning. 66-74 - Ranjith Tellis, Olga Starobinets, Michael Prokle, Usha Nandini Raghavan, Christopher S. Hall, Tammana Chugh, Ekin Koker, Siva Chaitanya Chaduvula, Christoph Wald, Sebastian Flacke:
Identifying Areas for Operational Improvement and Growth in IR Workflow Using Workflow Modeling, Simulation, and Optimization Techniques. 75-84 - Fatih Varcin, Hasan Erbay, Eyüp Çetin, Ihsan Çetin, Turgut Kültür:
End-To-End Computerized Diagnosis of Spondylolisthesis Using Only Lumbar X-rays. 85-95 - Aimi Taguchi, Shun Shishido, Yafei Ou, Masayuki Ikebe, Tianyu Zeng, Wanxuan Fang, Koichi Murakami, Toshikazu Ueda, Nobutoshi Yasojima, Keitaro Sato, Kenichi Tamura, Kenneth Sutherland, Nozomi Oki, Ko Chiba, Kazuyuki Minowa, Masataka Uetani, Tamotsu Kamishima:
Quantification of Joint Space Width Difference on Radiography Via Phase-Only Correlation (POC) Analysis: a Phantom Study Comparing with Various Tomographical Modalities Using Conventional Margin-Contouring. 96-104 - Caroline Bivik Stadler, Martin Lindvall, Claes Lundström, Anna Bodén, Karin Lindman, Jeronimo Rose, Darren Treanor, Johan Blomma, Karin Stacke, Nicolas Pinchaud, Martin Hedlund, Filip Landgren, Mischa Woisetschläger, Daniel Forsberg:
Proactive Construction of an Annotated Imaging Database for Artificial Intelligence Training. 105-115 - Akiyoshi Hizukuri, Ryohei Nakayama, Mayumi Nara, Megumi Suzuki, Kiyoshi Namba:
Computer-Aided Diagnosis Scheme for Distinguishing Between Benign and Malignant Masses on Breast DCE-MRI Images Using Deep Convolutional Neural Network with Bayesian Optimization. 116-123 - David J. Winkel, Hanns-Christian Breit, Thomas J. Weikert, Bram Stieltjes:
Building Large-Scale Quantitative Imaging Databases with Multi-Scale Deep Reinforcement Learning: Initial Experience with Whole-Body Organ Volumetric Analyses. 124-133 - Yan Zeng, Po-Hsiang Tsui, Weiwei Wu, Zhuhuang Zhou, Shuicai Wu:
Fetal Ultrasound Image Segmentation for Automatic Head Circumference Biometry Using Deeply Supervised Attention-Gated V-Net. 134-148 - Chi-Kuang Liu, Chih-Chieh Liu, Cheng-Hsun Yang, Hsuan-Ming Huang:
Generation of Brain Dual-Energy CT from Single-Energy CT Using Deep Learning. 149-161 - Mahmoud H. Annaby, Asmaa M. Elwer, Muhammad Ali Rushdi, Mohamed Emad Mousa Rasmy:
Melanoma Detection Using Spatial and Spectral Analysis on Superpixel Graphs. 162-181 - Nadine Rücker, Lea Pflüger, Andreas Maier:
Hardware Failure Prediction on Imbalanced Times Series Data. 182-189 - Jang Pyo Bae, Siyeop Yoon, Malinda Vania, Deukhee Lee:
Spatiotemporal Free-Form Registration Method Assisted by a Minimum Spanning Tree During Discontinuous Transformations. 190-203 - Ales Rocek, Michal Javorník, Karel Slávicek, Otto Dostál:
Zero Watermarking: Critical Analysis of Its Role in Current Medical Imaging. 204-211 - Liqi Shu, Faraien Bahri, Navid Mostaghni, Gang Yu, Ramin Javan:
The Time Has Come: a Paradigm Shift in Diagnostic Radiology Education via Simulation Training. 212-227
Volume 34, Number 2, April 2021
- Ross W. Filice:
The Imaging Informatics Response to a Pandemic. 229-230 - Hongtao Chen, Shuanshuan Guo, Yanbin Hao, Yijie Fang, Zhaoxiong Fang, Wenhao Wu, Zhigang Liu, Shaolin Li:
Auxiliary Diagnosis for COVID-19 with Deep Transfer Learning. 231-241 - Pablo Menéndez Fernández-Miranda, Pablo Sanz Bellón, Amaia Pérez del Barrio, Lara Lloret Iglesias, P. Solís García, Fernando Aguilar Gómez, David Rodriguez Gonzalez, José Antonio Vega:
Developing a Training Web Application for Improving the COVID-19 Diagnostic Accuracy on Chest X-ray. 242-256 - Corey J. Hiti, Jennifer Chang, Kriti Gwal, Eva Escobedo, Margaret Rea, Jasjeet Bindra:
The New Normal: Coronavirus Pandemic Response Utilizing Microsoft SharePoint. 257-262 - Ümit Budak, Musa Çibuk, Zafer Cömert, Abdulkadir Sengür:
Efficient COVID-19 Segmentation from CT Slices Exploiting Semantic Segmentation with Integrated Attention Mechanism. 263-272 - Mohamed N. E. Kassem, Doaa T. Masallat:
Clinical Application of Chest Computed Tomography (CT) in Detection and Characterization of Coronavirus (Covid-19) Pneumonia in Adults. 273-283 - Allison Kutner, Danielle Love, Alina Markova, Anthony Rossi, Erica Lee, Kishwer Nehal, Mario Lacouture, Veronica Rotemberg:
Supporting Virtual Dermatology Consultation in the Setting of COVID-19. 284-289 - Alexander J. Towbin, Jennifer Regan, David Hulefeld, Eric Schwieterman, Laurie A. Perry, Sarah O'Brien, Akhil Dhamija, Timothy J. O'Connor, Jay A. Moskovitz:
Disaster Planning During SARS-CoV-2/COVID: One Radiology Informatics Team's Story. 290-296 - José Raniery Ferreira Jr., Diego Armando Cardona Cárdenas, Ramon Alfredo Moreno, Marina de Sá Rebelo, José Eduardo Krieger, Marco Antonio Gutierrez:
Novel Chest Radiographic Biomarkers for COVID-19 Using Radiomic Features Associated with Diagnostics and Outcomes. 297-307 - Joseph H. Yacoub, Carl E. Swanson, Ann K. Jay, Cirrelda Cooper, James Spies, Pranay Krishnan:
The Radiology Virtual Reading Room: During and Beyond the COVID-19 Pandemic. 308-319 - Fatemeh Homayounieh, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Shadi Ebrahimian, Ruhani Doda Khera, Bernardo C. Bizzo, Varun Buch, Rosa Babaei, Hadi Karimi Mobin, Iman Mohseni, Matthias Mitschke, Mathis Zimmermann, Felix Durlak, Franziska Rauch, Subba R. Digumarthy, Mannudeep K. Kalra:
Multicenter Assessment of CT Pneumonia Analysis Prototype for Predicting Disease Severity and Patient Outcome. 320-329 - Bryce Lowery, Sameer Sandhu, Tessa Sundaram Cook, Prasanth Prasanna:
The Role of Imaging Informatics in Disaster Preparedness During the COVID-19 Pandemic. 330-336 - Zheng Wang, Ying Xiao, Futian Weng, Xiaojun Li, Danhua Zhu, Fanggen Lu, Xiaowei Liu, Muzhou Hou, Yu Meng:
R-JaunLab: Automatic Multi-Class Recognition of Jaundice on Photos of Subjects with Region Annotation Networks. 337-350 - Michael Y. Chen, Maria A. Woodruff, Boon Kua, Nicholas J. Rukin:
Rapid Segmentation of Renal Tumours to Calculate Volume Using 3D Interpolation. 351-356 - Jeremy T. Moreau, Christine Saint-Martin, Sylvain Baillet, Roy W. R. Dudley:
MNI SISCOM: an Open-Source Tool for Computing Subtraction Ictal Single-Photon Emission CT Coregistered to MRI. 357-361 - Ye Li, Jingrui Huang, Tao Huang, Jie Tang, Wenyao Zhang, Wenlong Xu, Ning Wang, Yongbing Deng, Xing Yu, Lei Xu:
Wearable Mixed-Reality Holographic Navigation Guiding the Management of Penetrating Intracranial Injury Caused by a Nail. 362-366 - Siya Patil, Joseph H. Yacoub, Xue Geng, Susan M. Ascher, Ross W. Filice:
Radiology Reporting in the Era of Patient-Centered Care: How Can We Improve Readability? 367-373 - Jackson M. Steinkamp, Charles Chambers, Darco Lalevic, Tessa Sundaram Cook:
Automatic Fully-Contextualized Recommendation Extraction from Radiology Reports. 374-384 - Seán Cronin, Bridget Kane, Gavin Doherty:
A Qualitative Analysis of the Needs and Experiences of Hospital-based Clinicians when Accessing Medical Imaging. 385-396 - Leonid L. Chepelev, Xuan Wang, Benjamin Gold, Clara-Lea Bonzel, Frank Rybicki Jr, Jennifer W. Uyeda, Adnan Sheikh, Dan Anderson, Jared Lindaman, Greg Mogel, Dimitrios Mitsouras, Mary C. Mahoney, Tianxi Cai, Frank J. Rybicki:
Improved Appropriateness of Advanced Diagnostic Imaging After Implementation of Clinical Decision Support Mechanism. 397-403 - Tonmoy Ghosh, Jacob Chakareski:
Deep Transfer Learning for Automated Intestinal Bleeding Detection in Capsule Endoscopy Imaging. 404-417 - Takahiro Nakao, Shouhei Hanaoka, Yukihiro Nomura, Masaki Murata, Tomomi Takenaga, Soichiro Miki, Takeyuki Watadani, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe:
Unsupervised Deep Anomaly Detection in Chest Radiographs. 418-427 - Tamalika Chaira:
An Intuitionistic Fuzzy Clustering Approach for Detection of Abnormal Regions in Mammogram Images. 428-439 - Charu Bhardwaj, Shruti Jain, Meenakshi Sood:
Deep Learning-Based Diabetic Retinopathy Severity Grading System Employing Quadrant Ensemble Model. 440-457 - John Penczek, Paul A. Boynton, Ryan Beams, Ram D. Sriram:
Measurement Challenges for Medical Image Display Devices. 458-472 - Don K. Dennison:
Patient Identity Management Maturity Model (PIM3) for Imaging Information Technology Systems. 473-482 - Akhil Dhamija, Jay A. Moskovitz, Juli Bick, Timothy J. O'Connor, Jennifer Regan, Laurie A. Perry, David Hulefeld, Eric Schwieterman, Evan Slavik, Alexander J. Towbin:
Image-Enabling the Patient Portal of an Electronic Health Record. 483-488 - Shawn Lyo, Arkadij Grigorian, Dan Cohen-Addad, Srinivas Kolla:
RadRemind! - an Automated Paging System for Reminding Radiology Residents of Their Roles and Responsibilities. 489-494
Volume 34, Number 3, June 2021
- Christopher J. Roth, David A. Clunie, David J. Vining, Seth J. Berkowitz, Alejandro Berlin, Jean-Pierre Bissonnette, Shawn D. Clark, Toby C. Cornish, Monief Eid, Cree M. Gaskin, Alexander K. Goel, Genevieve C. Jacobs, David Kwan, Damien M. Luviano, Morgan P. McBee, Kelly Miller, Abdul Moiz Hafiz, Ceferino Obcemea, Anil V. Parwani, Veronica Rotemberg, Elliot Lewis Silver, Erik S. Storm, James E. Tcheng, Karen S. Thullner, Les R. Folio:
Multispecialty Enterprise Imaging Workgroup Consensus on Interactive Multimedia Reporting Current State and Road to the Future: HIMSS-SIIM Collaborative White Paper. 495-522 - Ali Afzali, Farshid Babapour Mofrad, Majid Pouladian:
2D Statistical Lung Shape Analysis Using Chest Radiographs: Modelling and Segmentation. 523-540 - Kendall J. Kiser, Arko Barman, Sonja Stieb, Clifton D. Fuller, Luca Giancardo:
Novel Autosegmentation Spatial Similarity Metrics Capture the Time Required to Correct Segmentations Better Than Traditional Metrics in a Thoracic Cavity Segmentation Workflow. 541-553 - Richard D. White, Barbaros S. Erdal, Mutlu Demirer, Vikash Gupta, Matthew T. Bigelow, Engin Dikici, Sema Candemir, Mauricio S. Galizia, Jessica L. Carpenter, Thomas P. O'Donnell, Abdul H. Halabi, Luciano M. Prevedello:
Artificial Intelligence to Assist in Exclusion of Coronary Atherosclerosis During CCTA Evaluation of Chest Pain in the Emergency Department: Preparing an Application for Real-world Use. 554-571 - Carl Sabottke, Marc Breaux, Rebecca Lee, Adam Foreman, Bradley Spieler:
Analysis of Potential for User Errors in Mobile Deployment of Radiology Deep Learning for Cardiac Rhythm Device Detection. 572-580 - Mainak Biswas, Luca Saba, Tomaz Omerzu, Amer M. Johri, Narendra N. Khanna, Klaudija Viskovic, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, Antonella Balestrieri, Petros P. Sfikakis, Athanasios Protogerou, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Raghu Kolluri, Aditya Sharma, Vijay Viswanathan, Zoltan Ruzsa, Andrew Nicolaides, Jasjit S. Suri:
A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence Framework. 581-604 - Yang Gao, Fan Song, Peng Zhang, Jian Liu, Jingjing Cui, Yingying Ma, Guanglei Zhang, Jianwen Luo:
Improving the Subtype Classification of Non-small Cell Lung Cancer by Elastic Deformation Based Machine Learning. 605-617 - Aswiga R. V, Aishwarya R, Shanthi A. P:
Augmenting Transfer Learning with Feature Extraction Techniques for Limited Breast Imaging Datasets. 618-629 - Gengbo Liu, Debasis Mitra, Ella F. Jones, Benjamin L. Franc, Spencer C. Behr, Alex Nguyen, Marjan S. Bolouri, Dorota J. Wisner, Bonnie N. Joe, Laura J. Esserman, Nola Hylton, Youngho Seo:
Mask-Guided Convolutional Neural Network for Breast Tumor Prognostic Outcome Prediction on 3D DCE-MR Images. 630-636 - Chung-Ming Lo, Peng-Hsiang Hung, Daw-Tung Lin:
Rapid Assessment of Acute Ischemic Stroke by Computed Tomography Using Deep Convolutional Neural Networks. 637-646 - Kushal Mehta, Arshita Jain, Jayalakshmi Mangalagiri, Sumeet Menon, Phuong Nguyen, David R. Chapman:
Lung Nodule Classification Using Biomarkers, Volumetric Radiomics, and 3D CNNs. 647-666 - Suman Tewary, Sudipta Mukhopadhyay:
HER2 Molecular Marker Scoring Using Transfer Learning and Decision Level Fusion. 667-677 - Pedro Henrique Campos Cunha Gondim, Pedro Henrique Justino Oliveira Limirio, Flaviana Soares Rocha, Jonas Dantas Batista, Paula Dechichi, Bruno Augusto Nassif Travençolo, André Ricardo Backes:
Automatic Segmentation of Bone Canals in Histological Images. 678-690 - Sappa Loza Bekalo, Idowu Paul Okuwobi, Mingchao Li, Yuhan Zhang, Sha Xie, Songtao Yuan, Qiang Chen:
RetFluidNet: Retinal Fluid Segmentation for SD-OCT Images Using Convolutional Neural Network. 691-704 - Mohammad Alarifi, Timothy B. Patrick, Abdulrahman Jabour, Min Wu, Jake Luo:
Designing a Consumer-Friendly Radiology Report using a Patient-Centered Approach. 705-716 - Altay Brusan, F. Aytaç Durmaz, Cengizhan Ozturk:
A Workflow for Ensuring DICOM Compatibility During Radiography Device Software Development. 717-730 - Po-Hao Chen, Robert Bodak, Namita S. Gandhi:
Ransomware Recovery and Imaging Operations: Lessons Learned and Planning Considerations. 731-740 - Marla B. K. Sammer, Andrew Stahl, Eray Ozkan, Andrew C. Sher:
Implementation of a Software Distribution Intervention to Improve Workload Balance in an Academic Pediatric Radiology Department. 741-749 - Mohammed J. Alwazzan, Mohammed A. Ismael, Asmaa N. Ahmed:
A Hybrid Algorithm to Enhance Colour Retinal Fundus Images Using a Wiener Filter and CLAHE. 750-759 - Pooja Prabhu, A. Kotegar Karunakar, Sanjib Sinha, N. Mariyappa, G. K. Bhargava, Jayabal Velmurugan, H. Anitha:
Content-Based Estimation of Brain MRI Tilt in Three Orthogonal Directions. 760-771
Volume 34, Number 4, August 2021
- Adriana V. Gregory, Deema A. Anaam, Andrew J. Vercnocke, Marie E. Edwards, Vicente E. Torres, Peter C. Harris, Bradley J. Erickson, Timothy L. Kline:
Semantic Instance Segmentation of Kidney Cysts in MR Images: A Fully Automated 3D Approach Developed Through Active Learning. 773-787 - Maxim Privalov, Nils Beisemann, Jan Siad El Barbari, Eric Mandelka, Michael Müller, Hannah Syrek, Paul Alfred Grützner, Sven Yves Vetter:
Software-Based Method for Automated Segmentation and Measurement of Wounds on Photographs Using Mask R-CNN: a Validation Study. 788-797 - José Lucas Leite Calheiros, Lucas Benevides Viana de Amorim, Lucas Lins de Lima, Ailton Felix de Lima Filho, José Raniery Ferreira Jr., Marcelo Costa de Oliveira:
The Effects of Perinodular Features on Solid Lung Nodule Classification. 798-810 - Michael Travis Caton, Walter F. Wiggins, Stuart R. Pomerantz, Katherine P. Andriole:
The Composite Severity Score for Lumbar Spine MRI: a Metric of Cumulative Degenerative Disease Predicts Time Spent on Interpretation and Reporting. 811-819 - Salvatore Gitto, Renato Cuocolo, Ilaria Emili, Laura Tofanelli, Vito Chianca, Domenico Albano, Carmelo Messina, Massimo Imbriaco, Luca Maria Sconfienza:
Effects of Interobserver Variability on 2D and 3D CT- and MRI-Based Texture Feature Reproducibility of Cartilaginous Bone Tumors. 820-832 - Yang Deng, Lei You, Yanfei Wang, Xiaobo Zhou:
A Coarse-to-Fine Framework for Automated Knee Bone and Cartilage Segmentation Data from the Osteoarthritis Initiative. 833-840 - Andrew W. Kirkpatrick, Jessica L. McKee, Shabab Moeini, John Conly, Irene W. Y. Ma, Barry Baylis, Wade Hawkins:
Pioneering Remotely Piloted Aerial Systems (Drone) Delivery of a Remotely Telementored Ultrasound Capability for Self Diagnosis and Assessment of Vulnerable Populations - the Sky Is the Limit. 841-845 - Robert J. Harris, Scott G. Baginski, Yulia Bronstein, Shwan Kim, Jerry Lohr, Steve Towey, Zeljko Velichkovich, Tim Kabachenko, Ian Driscoll, Brian Baker:
Measurement of Endotracheal Tube Positioning on Chest X-Ray Using Object Detection. 846-852 - Dong Hyun Kim, Jin Gyo Jeong, Young Jae Kim, Kwang Gi Kim, Ji Young Jeon:
Automated Vertebral Segmentation and Measurement of Vertebral Compression Ratio Based on Deep Learning in X-Ray Images. 853-861 - Ruqian Hao, Khashayar Namdar, Lin Liu, Masoom A. Haider, Farzad Khalvati:
A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-Weighted MRI Using Convolutional Neural Networks. 862-876 - Yang Zhang, Siwa Chan, Jeon-Hor Chen, Kai-Ting Chang, Chin-Yao Lin, Huay-Ben Pan, Wei-Ching Lin, Tiffany Kwong, Ritesh Parajuli, Rita S. Mehta, Sou-Hsin Chien, Min-Ying Su:
Development of U-Net Breast Density Segmentation Method for Fat-Sat MR Images Using Transfer Learning Based on Non-Fat-Sat Model. 877-887 - Robert D. E. Henderson, Xin Yi, Scott J. Adams, Paul S. Babyn:
Automatic Detection and Classification of Multiple Catheters in Neonatal Radiographs with Deep Learning. 888-897 - Su Kara, Jake Y. Akers, Peter D. Chang:
Identification and Localization of Endotracheal Tube on Chest Radiographs Using a Cascaded Convolutional Neural Network Approach. 898-904 - Muhammad Junaid Ali, Basit Raza, Ahmad Raza Shahid:
Multi-level Kronecker Convolutional Neural Network (ML-KCNN) for Glioma Segmentation from Multi-modal MRI Volumetric Data. 905-921 - Feng Li, Samuel G. Armato, Roger Engelmann, Thomas Rhines, Jennie Crosby, Li Lan, Maryellen L. Giger, Heber MacMahon:
Anatomic Point-Based Lung Region with Zone Identification for Radiologist Annotation and Machine Learning for Chest Radiographs. 922-931 - Ranjana Agrawal, Sucheta Kulkarni, Rahee Walambe, Ketan Kotecha:
Assistive Framework for Automatic Detection of All the Zones in Retinopathy of Prematurity Using Deep Learning. 932-947 - Ta-Ching Chen, Wee Shin Lim, Victoria Y. Wang, Mei-Lan Ko, Shu-I Chiu, Yu-Shu Huang, Feipei Lai, Chung-May Yang, Fung-Rong Hu, Jyh-Shing Roger Jang, Chang-Hao Yang:
Artificial Intelligence-Assisted Early Detection of Retinitis Pigmentosa - the Most Common Inherited Retinal Degeneration. 948-958 - Joseph N. Stember, Gul Moonis, Cleber Silva:
Panoramic Dental Reconstruction for Faster Detection of Dental Pathology on Medical Non-dental CT Scans: a Proof of Concept from CT Neck Soft Tissue. 959-966 - Liam J. Caffery, Jochen Weber, Nicholas R. Kurtansky, David A. Clunie, Steve Langer, George Shih, Allan Halpern, Veronica Rotemberg:
DICOM in Dermoscopic Research: an Experience Report and a Way Forward. 967-973 - Don K. Dennison, Robert M. Coleman, Ryan Fallon, Michael Toland, Richard Skip L. Kennedy, Brittany Tomlin:
There's a New Sheriff in Town: When Enterprise IT Takes Over Imaging IT. 974-985 - Surajit Kundu, Santam Chakraborty, Jayanta Mukhopadhyay, Syamantak Das, Sanjoy Chatterjee, Rimpa Basu Achari, Indranil Mallick, Partha Pratim Das, Moses Arunsingh, Tapesh Bhattacharyyaa, Soumendranath Ray:
Research Goal-Driven Data Model and Harmonization for De-Identifying Patient Data in Radiomics. 986-1004 - Pradeeban Kathiravelu, Puneet Sharma, Ashish Sharma, Imon Banerjee, Hari Trivedi, Saptarshi Purkayastha, Priyanshu Sinha, Alexandre Cadrin-Chenevert, Nabile M. Safdar, Judy Wawira Gichoya:
A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images. 1005-1013 - Cristina Marie Morales Mojica, Jose D. Velazco Garcia, Eleftherios P. Pappas, Theodosios Birbilis, Aaron T. Becker, Ernst L. Leiss, Andrew G. Webb, Ioannis Seimenis, Nikolaos V. Tsekos:
A Holographic Augmented Reality Interface for Visualizing of MRI Data and Planning of Neurosurgical Procedures. 1014-1025 - Walter F. Wiggins, Michael Travis Caton, Kirti Magudia, Michael H. Rosenthal, Katherine P. Andriole:
A Conference-Friendly, Hands-on Introduction to Deep Learning for Radiology Trainees. 1026-1033 - Filipe Pires, Carlos Costa, Paulo Dias:
On the Use of Virtual Reality for Medical Imaging Visualization. 1034-1048 - Jeffrey D. Rudie, Jeffrey T. Duda, Michael Tran Duong, Po-Hao Chen, Long Xie, Robert Kurtz, Jeffrey B. Ware, Joshua Choi, Raghav R. Mattay, Emmanuel J. Botzolakis, James C. Gee, R. Nick Bryan, Tessa Sundaram Cook, Suyash Mohan, Ilya M. Nasrallah, Andreas M. Rauschecker:
Brain MRI Deep Learning and Bayesian Inference System Augments Radiology Resident Performance. 1049-1058 - Soham Banerjee, William F. Auffermann:
RadSimPE - a Radiology Workstation Simulator for Perceptual Education. 1059-1066 - Daniel R. Nemirovsky, Andrew J. Garcia, Puneet Gupta, Ezra Shoen, Naval Walia:
Evaluation of Surgical Improvement of Clinical Knowledge Ops (SICKO), an Interactive Training Platform. 1067-1071 - Hina Raja, M. Usman Akram, Arslan Shaukat, Shoab Ahmed Khan, Norah Saleh Alghamdi, Sajid Gul Khawaja, Muhammad Noman Nazir:
Correction to: Extraction of Retinal Layers Through Convolution Neural Network (CNN) in an OCT Image for Glaucoma Diagnosis. 1072
Volume 34, Number 5, October 2021
- Zekun Jiang, Yinjun Dong, Linke Yang, Yunhong Lv, Shuai Dong, Shuanghu Yuan, Dengwang Li, Liheng Liu:
CT-Based Hand-crafted Radiomic Signatures Can Predict PD-L1 Expression Levels in Non-small Cell Lung Cancer: a Two-Center Study. 1073-1085 - Zahra Khodabakhshi, Mehdi Amini, Shayan Mostafaei, Atlas Haddadi Avval, Mostafa Nazari, Mehrdad Oveisi, Isaac Shiri, Habib Zaidi:
Overall Survival Prediction in Renal Cell Carcinoma Patients Using Computed Tomography Radiomic and Clinical Information. 1086-1098 - Junwon Bae, Sangjoon Yu, Jaehoon Oh, Tae Hyun Kim, Jae Ho Chung, Hayoung Byun, Myeong Seong Yoon, Chiwon Ahn, Dong Keon Lee:
External Validation of Deep Learning Algorithm for Detecting and Visualizing Femoral Neck Fracture Including Displaced and Non-displaced Fracture on Plain X-ray. 1099-1109 - Anton Niukkanen, Hidemi Okuma, Mazen Sudah, Paivi K. Auvinen, Arto Mannermaa, Timo Liimatainen, Ritva Vanninen:
Quantitative Three-Dimensional Assessment of the Pharmacokinetic Parameters of Intra- and Peri-tumoural Tissues on Breast Dynamic Contrast-Enhanced Magnetic Resonance Imaging. 1110-1119 - Hussein Aljawad, Mario Rüttgers, Andreas Lintermann, Wolfgang Schröder, Kyungmin Clara Lee:
Effects of the Nasal Cavity Complexity on the Pharyngeal Airway Fluid Mechanics: A Computational Study. 1120-1133 - Matías Fernández Patón, Leonor Cerdá Alberich, Cinta Sangüesa Nebot, Blanca Martínez de las Heras, Diana Veiga Canuto, Adela Cañete Nieto, Luis Martí-Bonmatí:
MR Denoising Increases Radiomic Biomarker Precision and Reproducibility in Oncologic Imaging. 1134-1145 - Peian Hu, Lei Chen, Zhengrong Zhou:
Machine Learning in the Differentiation of Soft Tissue Neoplasms: Comparison of Fat-Suppressed T2WI and Apparent Diffusion Coefficient (ADC) Features-Based Models. 1146-1155 - Mingxi Lei, Bino A. Varghese, Darryl Hwang, Steven Y. Cen, Xiaomeng Lei, Desai Bhushan, Afshin Azadikhah, Assad A. Oberai, Vinay A. Duddalwar:
Benchmarking Various Radiomic Toolkit Features While Applying the Image Biomarker Standardization Initiative toward Clinical Translation of Radiomic Analysis. 1156-1170 - Lucas Etzel, Thilo L. Schenck, Riccardo E. Giunta, Zhouxiao Li, Ya Xu, Konstantin C. Koban:
Digital Leg Volume Quantification: Precision Assessment of a Novel Workflow Based on Single Capture Three-dimensional Whole-Body Surface Imaging. 1171-1182 - Alex Bratt, Daniel J. Blezek, William J. Ryan, Kenneth A. Philbrick, Prabhakar Rajiah, Yasmeen K. Tandon, Lara A. Walkoff, Jason C. Cai, Emily N. Sheedy, Panagiotis Korfiatis, Eric E. Williamson, Bradley J. Erickson, Jeremy D. Collins:
Deep Learning Improves the Temporal Reproducibility of Aortic Measurement. 1183-1189 - Raluca-Elena Nica, Mircea-Sebastian Serbanescu, Lucian-Mihai Florescu, Georgiana-Cristiana Camen, Costin Teodor Streba, Ioana-Andreea Gheonea:
Deep Learning: a Promising Method for Histological Class Prediction of Breast Tumors in Mammography. 1190-1198 - Yu-Cheng Liu, Yulin Liu, Rami Vanguri, Daniel Litwiller, Michael Z. Liu, Hao-Yun Hsu, Richard Ha, Hiram Shaish, Sachin Jambawalikar:
3D Isotropic Super-resolution Prostate MRI Using Generative Adversarial Networks and Unpaired Multiplane Slices. 1199-1208 - Mahtab Saeidifar, Mehran Yazdi, Alireza Zolghadrasli:
Performance Improvement in Brain Tumor Detection in MRI Images Using a Combination of Evolutionary Algorithms and Active Contour Method. 1209-1224 - Yongwon Cho, Min Ju Kim, Beom Jin Park, Ki Choon Sim, Yeom Suk Keu, Yeo Eun Han, Deuk Jae Sung, Na Yeon Han:
Active Learning for Efficient Segmentation of Liver with Convolutional Neural Network-Corrected Labeling in Magnetic Resonance Imaging-Derived Proton Density Fat Fraction. 1225-1236 - Vanessa De Araujo Faria, Mehran Azimbagirad, Gustavo Viani Arruda, Juliana Fernandes Pavoni, Joaquim Cezar Felipe, Elza Maria Carneiro Mendes Ferreira dos Santos, Luiz Otávio Murta Júnior:
Prediction of Radiation-Related Dental Caries Through PyRadiomics Features and Artificial Neural Network on Panoramic Radiography. 1237-1248 - Hogun Ha, Kyunghwa Jung, Seongpung Lee, Hyunki Lee, Jaesung Hong:
Heterogeneous Stitching of X-ray Images According to Homographic Evaluation. 1249-1263 - Zhen Chao, Wenting Xu:
A New General Maximum Intensity Projection Technology via the Hybrid of U-Net and Radial Basis Function Neural Network. 1264-1278 - Zheng Liu, Jinnian Zhang, Varun S. Jog, Po-Ling Loh, Alan B. McMillan:
Robustifying Deep Networks for Medical Image Segmentation. 1279-1293 - Abiola Femi-Abodunde, Kristen Olinger, Lauren M. B. Burke, Thad Benefield, Ellie R. Lee, Katrina McGinty, Benjamin M. Mervak:
Radiology Dictation Errors with COVID-19 Protective Equipment: Does Wearing a Surgical Mask Increase the Dictation Error Rate? 1294-1301 - Abderrazek Boufahja, Steven Nichols, Vincent Pangon:
Quantitative Evaluation of PACS Query/Retrieve Capabilities. 1302-1315 - Javier Azcona Sáenz, Darío Herrán de la Gala, Phoebe Phuong-Boi Bui, Javier Arnáiz García, Pablo Menéndez Fernández-Miranda, Yasmina Lamprecht, Marta Drake Pérez, Enrique Marco de Lucas:
Instagram's Influence on Radiology Today: Reviewing the Evolving Educational Journey from a Hospital to National Societies. 1316-1327 - Gabrielle Schwartzman, Pradip Ramamurti:
Visible Body Human Anatomy Atlas: Innovative Anatomy Learning. 1328-1330
Volume 34, Number 6, December 2021
- Ross W. Filice, Charles E. Kahn:
Biomedical Ontologies to Guide AI Development in Radiology. 1331-1341 - Dimitrios S. Karagiannakis, Theodoros Voulgaris, Theodoros Angelopoulos, Panagiota Ioannidou, Evangelos Cholongitas, Jiannis Vlachogiannakos, George V. Papatheodoridis:
Comparative Utility of Transient and 2D Shear Wave Elastography for the Assessment of Liver Fibrosis in Clinical Practice. 1342-1348 - Ritwick Ghosh:
Determining Top Fully Connected Layer's Hidden Neuron Count for Transfer Learning, Using Knowledge Distillation: a Case Study on Chest X-Ray Classification of Pneumonia and COVID-19. 1349-1358 - Minjae Lee, Hyemi Kim, Hyo Min Cho, Hee-Joung Kim:
Ultra-Low-Dose Spectral CT Based on a Multi-level Wavelet Convolutional Neural Network. 1359-1375 - Eung-Joo Lee, William Plishker, Nobuhiko Hata, Paul B. Shyn, Stuart G. Silverman, Shuvra S. Bhattacharyya, Raj Shekhar:
Rapid Quality Assessment of Nonrigid Image Registration Based on Supervised Learning. 1376-1386 - Tahereh Hassanzadeh, Daryl Essam, Ruhul A. Sarker:
Evolutionary Deep Attention Convolutional Neural Networks for 2D and 3D Medical Image Segmentation. 1387-1404 - Thomas Yi, Ian Pan, Scott Collins, Fiona Chen, Robert Cueto, Ben Hsieh, Celina Hsieh, Jessica L. Smith, Li Yang, Wei-hua Liao, Lisa H. Merck, Harrison X. Bai, Derek Merck:
DICOM Image ANalysis and Archive (DIANA): an Open-Source System for Clinical AI Applications. 1405-1413 - Nan Wu, Zhe Huang, Yiqiu Shen, Jungkyu Park, Jason Phang, Taro Makino, Sungheon Gene Kim, Kyunghyun Cho, Laura Heacock, Linda Moy, Krzysztof J. Geras:
Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms. 1414-1423 - Kirti Magudia, Christopher P. Bridge, Katherine P. Andriole, Michael H. Rosenthal:
The Trials and Tribulations of Assembling Large Medical Imaging Datasets for Machine Learning Applications. 1424-1429 - Ezra Shoen:
DermIA: Machine Learning to Improve Skin Cancer Screening. 1430-1434 - Daniel J. Blezek, Lonny Olson-Williams, Andrew Missert, Panagiotis Korfiatis:
AI Integration in the Clinical Workflow. 1435-1446 - Xiuyuan Wei, Wenyin Zhang, Bo Yang, Jiuru Wang, Ziyun Xia:
Fragile Watermark in Medical Image Based on Prime Number Distribution Theory. 1447-1462 - Shabana Sulthana S. L, Sucharitha M:
Bayesian Framework-Based Adaptive Hybrid Filtering for Speckle Noise Reduction in Ultrasound Images Via Lion Plus FireFly Algorithm. 1463-1477
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