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ORCIDJournal of Digital Imaging, Volume 35
Volume 35, Number 1, February 2022
- Anton S. Becker
, Joseph P. Erinjeri, Joshua Chaim, Nicholas Kastango, Pierre Elnajjar, Hedvig Hricak, Herbert Alberto Vargas:
Automatic Forecasting of Radiology Examination Volume Trends for Optimal Resource Planning and Allocation. 1-8 - Reinhard Kaufmann, C. J. Zech, M. Takes, Philipp Brantner, Florian M. Thieringer, M. Deutschmann, Klaus Hergan, Bernhard Scharinger, Stefan Hecht, R. Rezar, Bernhard Wernly, M. Meissnitzer:
Vascular 3D Printing with a Novel Biological Tissue Mimicking Resin for Patient-Specific Procedure Simulations in Interventional Radiology: a Feasibility Study. 9-20 - Yee Seng Ng, Bilal Quadri, Chris Baker, Christopher Foster, Roderick W. McColl, David Fetzer, Ronald M. Peshock, Travis Browning:
Use of Web-Based Calculator for the Implementation of ACR TI-RADS Risk-Stratification System. 21-28 - Ariane Priscilla Magalhães Tenório, José Raniery Ferreira Jr., Vitor Faeda Dalto, Matheus Calil Faleiros, Rodrigo Luppino Assad, Paulo Louzada-Junior, Marcello Henrique Nogueira-Barbosa, Rangaraj Mandayam Rangayyan, Paulo Mazzoncini de Azevedo Marques:
Radiomic Quantification for MRI Assessment of Sacroiliac Joints of Patients with Spondyloarthritis. 29-38 - Takeshi Suzuki, Satoshi Maki, Takahiro Yamazaki, Hiromasa Wakita, Yasunari Toguchi, Manato Horii, Tomonori Yamauchi, Koui Kawamura, Masaaki Aramomi, Hiroshi Sugiyama, Yusuke Matsuura, Takeshi Yamashita, Sumihisa Orita, Seiji Ohtori:
Detecting Distal Radial Fractures from Wrist Radiographs Using a Deep Convolutional Neural Network with an Accuracy Comparable to Hand Orthopedic Surgeons. 39-46 - Meiyu Li, Fenghui Lian, Shuxu Guo:
Multi-scale Selection and Multi-channel Fusion Model for Pancreas Segmentation Using Adversarial Deep Convolutional Nets. 47-55 - J. Ramya, M. P. Rajakumar, B. Uma Maheswari:
Deep CNN with Hybrid Binary Local Search and Particle Swarm Optimizer for Exudates Classification from Fundus Images. 56-67 - Vishal Patel, Charles Li, Van Rye, Chia-Shang J. Liu, Alexander Lerner, Jay Acharya, Anandh Rajamohan:
A Comparison of WebRTC and Conventional Videoconferencing for Synchronized Remote Medical Image Presentation. 68-76 - Keisuke Fujii, Keiichi Nomura, Kuniharu Imai, Yoshihisa Muramatsu, So Tsushima, Hiroyuki Ota:
Evaluation of Apparent Noise on CT Images Using Moving Average Filters. 77-85
Volume 35, Number 2, April 2022
- Amar Udare, Minu Agarwal, Kiret Dhindsa, Amer Alaref, Michael Patlas, Abdullah Alabousi, Yoan K. Kagoma, Christian B. van der Pol:
Radiologist Productivity Analytics: Factors Impacting Abdominal Pelvic CT Exam Reporting Times. 87-97 - Wieslaw L. Nowinski:
NOWinBRAIN: a Large, Systematic, and Extendable Repository of 3D Reconstructed Images of a Living Human Brain Cum Head and Neck. 98-114 - Kuo-Lung Lor, Yeun-Chung Chang, Chong-Jen Yu, Cheng-Yi Wang, Chung-Ming Chen:
Bullous Parametric Response Map for Functional Localization of COPD. 115-126 - Martijn P. A. Starmans, Milea J. M. Timbergen, Melissa Vos, Michel Renckens, Dirk J. Grünhagen, Geert J. L. H. van Leenders, Roy S. Dwarkasing, François E. J. A. Willemssen, Wiro J. Niessen, Cornelis Verhoef, Stefan Sleijfer, Jacob J. Visser, Stefan Klein:
Differential Diagnosis and Molecular Stratification of Gastrointestinal Stromal Tumors on CT Images Using a Radiomics Approach. 127-136 - Jiwoong Jason Jeong, Amara Tariq, Tobiloba Adejumo, Hari Trivedi, Judy W. Gichoya, Imon Banerjee:
Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation. 137-152 - Haibo Zhang, Wenping Guo, Shiqing Zhang, Hongsheng Lu, Xiaoming Zhao:
Unsupervised Deep Anomaly Detection for Medical Images Using an Improved Adversarial Autoencoder. 153-161 - Lunhui Duan, Hao Sun, Delong Liu, Yinglun Tan, Yue Guo, Jianwen Chen, Xiaojing Ding:
Automatic Femoral Deformity Analysis Based on the Constrained Local Models and Hough Forest. 162-172 - Si Eun Lee, Nak-Hoon Son, Myung Hyun Kim, Eun-Kyung Kim:
Mammographic Density Assessment by Artificial Intelligence-Based Computer-Assisted Diagnosis: A Comparison with Automated Volumetric Assessment. 173-179 - Jonas Grande-Barreto, Pilar Gómez-Gil:
Pseudo-Label-Assisted Self-Organizing Maps for Brain Tissue Segmentation in Magnetic Resonance Imaging. 180-192 - Kemal Üreten, Hadi Hakan Maras:
Automated Classification of Rheumatoid Arthritis, Osteoarthritis, and Normal Hand Radiographs with Deep Learning Methods. 193-199 - Sefa Key, Mehmet Baygin, Sukru Demir, Sengül Dogan, Turker Tuncer:
Meniscal Tear and ACL Injury Detection Model Based on AlexNet and Iterative ReliefF. 200-212 - Thong Phi Nguyen, Ji Won Jung, Yong Jin Yoo, Sung Hoon Choi, Jonghun Yoon:
Intelligent Evaluation of Global Spinal Alignment by a Decentralized Convolutional Neural Network. 213-225 - Simone Saitta, Francesco Sturla, Alessandro Caimi, Alessandra Riva, Maria Chiara Palumbo, Giovanni Nano, Emiliano Votta, Alessandro Della Corte, Mattia Glauber, Dante Chiappino, Massimiliano M. Marrocco-Trischitta, Alberto Redaelli:
A Deep Learning-Based and Fully Automated Pipeline for Thoracic Aorta Geometric Analysis and Planning for Endovascular Repair from Computed Tomography. 226-239 - L. B. van den Oever, W. A. van Veldhuizen, Ludo J. Cornelissen, D. S. Spoor, Tineke P. Willems, G. Kramer, T. Stigter, Mieneke Rook, A. P. G. Crijns, Matthijs Oudkerk, Raymond N. J. Veldhuis, Geertruida H. de Bock, Peter M. A. van Ooijen:
Qualitative Evaluation of Common Quantitative Metrics for Clinical Acceptance of Automatic Segmentation: a Case Study on Heart Contouring from CT Images by Deep Learning Algorithms. 240-247 - S. Pitchumani Angayarkanni:
Hybrid Convolution Neural Network in Classification of Cancer in Histopathology Images. 248-257 - Khalid M. Hosny, Mohamed A. Kassem:
Refined Residual Deep Convolutional Network for Skin Lesion Classification. 258-280 - Sufian AlBadawi, Muhammad Moazam Fraz, Muhammad Shehzad, Imran Mahmood, Sajid Javed, Emad Mosalam, Ajay Kamath Nileshwar:
Detection and Grading of Hypertensive Retinopathy Using Vessels Tortuosity and Arteriovenous Ratio. 281-301 - Buket Toptas, Murat Toptas, Davut Hanbay:
Detection of Optic Disc Localization from Retinal Fundus Image Using Optimized Color Space. 302-319 - Hailey H. Choi, Amy L. Kotsenas, Joshua Vic Chen, Christina Bronsky, Christopher J. Roth, Marc D. Kohli:
Multi-institutional Experience with Patient Image Access Through Electronic Health Record Patient Portals. 320-326 - Lindsay DeWeese, Thomas Griglock, Alexander Moody, Aaron Mehlberg, Celeste Winters:
The Improvement of Patient Centering in Computed Tomography Through a Technologist-Focused Education Initiative. 327-334 - Ross W. Filice, Anouk Stein, Ian Pan, George Shih:
Federated Deep Learning to More Reliably Detect Body Part for Hanging Protocols, Relevant Priors, and Workflow Optimization. 335-339 - Jan Egger, Daniel Wild, Maximilian Weber, Christopher A. Ramirez Bedoya, Florian Karner, Alexander Prutsch, Michael Schmied, Christina Dionysio, Dominik Krobath, Yuan Jin, Christina Gsaxner, Jianning Li, Antonio Pepe:
Studierfenster: an Open Science Cloud-Based Medical Imaging Analysis Platform. 340-355 - Ye Li, Yuanzheng Hou, Qiongge Li, Jie Tang, Jie Lu:
Optimized Tractography Mapping and Quantitative Evaluation of Pyramidal Tracts for Surgical Resection of Insular Gliomas: a Correlative Study with Diffusion Tensor Imaging-Derived Metrics and Patient Motor Strength. 356-364 - Meifang Yin, Mingzhou Yuan, Kai Deng, Jing Li, Guangya Zhang, Jiayuan Zhu, Weiping Xie, Jun Wu:
Subcutaneous Low-Density Foreign Bodies Detection via Grating-Based Multimodal X-ray Imaging. 365-373 - Anam Fatima, Tahir Mustafa Madni, Fozia Anwar, Uzair Iqbal Janjua, Nasira Sultana:
Automated 2D Slice-Based Skull Stripping Multi-View Ensemble Model on NFBS and IBSR Datasets. 374-384
Volume 35, Number 3, June 2022
- Cheryl A. Petersilge, Julie McDonald, Matthew Bishop, Laurence Yudkovitch, Caitlin Treuting, Alexander J. Towbin:
Visible Light Imaging: Clinical Aspects with an Emphasis on Medical Photography - a HIMSS-SIIM Enterprise Imaging Community Whitepaper. 385-395 - Alejandro Mañas-García, Ismael González-Valverde, E. Camacho-Ramos, Angel Alberich-Bayarri, José Alberto Maldonado, Mar Marcos, Montserrat Robles:
Radiological Structured Report Integrated with Quantitative Imaging Biomarkers and Qualitative Scoring Systems. 396-407 - Surajit Kundu, Santam Chakraborty, Jayanta Mukhopadhyay, Syamantak Das, Sanjoy Chatterjee, Rimpa Basu Achari, Indranil Mallick, Partha Pratim Das, Moses Arunsingh, Tapesh Bhattacharyyaa, Soumendranath Ray:
Design and Development of a Medical Image Databank for Assisting Studies in Radiomics. 408-423 - Davide Negroni, Domenico Zagaria, Andrea Paladini, Zeno Falaschi, Anna Arcoraci, Michela Barini, Alessandro Carriero:
COVID-19 CT Scan Lung Segmentation: How We Do It. 424-431 - Luca Presotto, Valentino Bettinardi, Matteo Bagnalasta, Paola Scifo, Annarita Savi, Emilia Giovanna Vanoli, Federico Fallanca, Maria Picchio, Daniela Perani, Luigi Gianolli, Elisabetta De Bernardi:
Evaluation of a 2D UNet-Based Attenuation Correction Methodology for PET/MR Brain Studies. 432-445 - Rafael Silva Del Lama, Raquel Mariana Candido, Natália Santana Chiari-Correia, Marcello Henrique Nogueira-Barbosa, Paulo Mazzoncini de Azevedo Marques, Renato Tinós:
Computer-Aided Diagnosis of Vertebral Compression Fractures Using Convolutional Neural Networks and Radiomics. 446-458 - Yaru Sun, Yunqi Li, Pengfei Wang, Dongzhi He, Zhiqiang Wang:
Lesion Segmentation in Gastroscopic Images Using Generative Adversarial Networks. 459-468 - Amirhossein Sanaat, Isaac Shiri, Sohrab Ferdowsi, Hossein Arabi, Habib Zaidi:
Robust-Deep: A Method for Increasing Brain Imaging Datasets to Improve Deep Learning Models' Performance and Robustness. 469-481 - Neville D. Gai:
Highly Efficient and Accurate Deep Learning-Based Classification of MRI Contrast on a CPU and GPU. 482-495 - N. Jagan Mohan, R. Murugan, Tripti Goel, Parthapratim Roy:
Fast and Robust Exudate Detection in Retinal Fundus Images Using Extreme Learning Machine Autoencoders and Modified KAZE Features. 496-513 - Nils Beisemann, Eric Mandelka, Jan Siad El Barbari, Björn W. Kreher, Sven Yves Vetter, Paul Alfred Grützner, Jochen Franke:
Software-Automated Implant Detection for Intraoperative 3D Imaging - First Clinical Evaluation on 214 Data Sets. 514-523 - Audrey Ha, Bao H. Do, Adam L. Bartret, Charles X. Fang, Albert Hsiao, Amelie M. Lutz, Imon Banerjee, Geoffrey M. Riley, Daniel L. Rubin, Kathryn J. Stevens, Erin Wang, Shannon Wang, Christopher F. Beaulieu, Brian Hurt:
Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical Reports. 524-533 - Edmund M. Weisberg, Linda C. Chu, Benjamin D. Nguyen, Pelu Tran, Elliot K. Fishman:
Is AI the Ultimate QA? 534-537 - Yeshaswini Nagaraj, Hendrik Joost Wisselink, Mieneke Rook, Jiali Cai, Sunil Belur Nagaraj, Grigory Sidorenkov, Raymond N. J. Veldhuis, Matthijs Oudkerk, Rozemarijn Vliegenthart, Peter M. A. van Ooijen:
AI-Driven Model for Automatic Emphysema Detection in Low-Dose Computed Tomography Using Disease-Specific Augmentation. 538-550 - Teemu Mäkelä, Olli Öman, Lasse Hokkinen, Ulla Wilppu, Eero Salli, Sauli Savolainen, Marko Kangasniemi:
Automatic CT Angiography Lesion Segmentation Compared to CT Perfusion in Ischemic Stroke Detection: a Feasibility Study. 551-563 - Aswiga R. V, Shanthi A. P:
A Multilevel Transfer Learning Technique and LSTM Framework for Generating Medical Captions for Limited CT and DBT Images. 564-580 - Virginia Liberini, Daniele A. Pizzuto, Michael Messerli, Erika Orita, Hannes Grünig, Alexander Maurer, Cäcilia Mader, Lars Husmann, Désirée Deandreis, Fotis A. Kotasidis, Josey Trinckauf, Alessandra Curioni, Isabelle Opitz, Sebastian Winklhofer, Martin W. Huellner:
BSREM for Brain Metastasis Detection with 18F-FDG-PET/CT in Lung Cancer Patients. 581-593 - Vivek P. Jani, Nadjia Kachenoura, Alban Redheuil, Gisela Teixido-Tura, Kevin Bouaou, Emilie Bollache, Élie Mousseaux, Alain De Cesare, Shelby Kutty, Colin O. Wu, David A. Bluemke, Joao A. C. Lima, Bharath Ambale-Venkatesh:
Deep Learning-based Automated Aortic Area and Distensibility Assessment: the Multi-Ethnic Study of Atherosclerosis (MESA). 594-604 - Gengbo Liu, Mini Poon, Matthew A. Zapala, William C. Temple, Kieuhoa T. Vo, Kathrine K. Matthay, Debasis Mitra, Youngho Seo:
Incorporating Radiomics into Machine Learning Models to Predict Outcomes of Neuroblastoma. 605-612 - Prashanth Ravi, Leonid L. Chepelev, Gabrielle V. Stichweh, Benjamin S. Jones, Frank J. Rybicki:
Medical 3D Printing Dimensional Accuracy for Multi-pathological Anatomical Models 3D Printed Using Material Extrusion. 613-622 - Larissa Ferreira Rodrigues, André Ricardo Backes, Bruno Augusto Nassif Travençolo, Gina Maira Barbosa de Oliveira:
Optimizing a Deep Residual Neural Network with Genetic Algorithm for Acute Lymphoblastic Leukemia Classification. 623-637 - Ying Wang, Xiaosheng Yu, Chengdong Wu:
An Efficient Hierarchical Optic Disc and Cup Segmentation Network Combined with Multi-task Learning and Adversarial Learning. 638-653 - Rangel Teles Freire, Agnaldo Rocha Prata-Júnior, John Nadson Andrade Pinho, Wilton Mitsunari Takeshita:
Diagnostic Accuracy of Caries and Periapical Lesions on a Monitor with and without DICOM-GSDF Calibration Under Different Ambient Light Conditions. 654-659 - Christian J. Park, Paul H. Yi, Hussain Al Yousif, Kenneth C. Wang:
Machine vs. Radiologist-Based Translations of RadLex: Implications for Multi-language Report Interoperability. 660-665 - Tom Mahler, Erez Shalom, Arnon Makori, Yuval Elovici, Yuval Shahar:
A Cyber-Security Risk Assessment Methodology for Medical Imaging Devices: the Radiologists' Perspective. 666-677 - Ruba Alkadi, Osama Abdullah, Naoufel Werghi:
The Classification Power of Classical and Intra-voxel Incoherent Motion (IVIM) Fitting Models of Diffusion-weighted Magnetic Resonance Images: An Experimental Study. 678-691 - Haarisudhan Sureshkumar, Ruidi Xu, Nikith Erukulla, Aditi Wadhwa, Linping Zhao:
"Snap on" or Not? A Validation on the Measurement Tool in a Virtual Reality Application. 692-703 - Piero Chiacchiaretta, Mauro Gianni Perrucci, Massimo Caulo, Riccardo Navarra, Gaia Baldiraghi, Davide Rolandi, Sabino Luzzi, Mattia Del Maestro, Renato Juan Galzio, Antonio Ferretti:
A Dedicated Tool for Presurgical Mapping of Brain Tumors and Mixed-Reality Navigation During Neurosurgery. 704-713 - Pedro V. Staziaki, João A. A. Santinha, Marcelo O. Coelho, Diego Angulo, Mohannad Hussain, Les R. Folio:
Gamification in Radiology Training Module Developed During the Society for Imaging Informatics in Medicine Annual Meeting Hackathon. 714-722 - Lillian G. Spear, Jane Dimperio, Sherry S. Wang, Huy M. Do, Les R. Folio:
Rethinking Clinical Trial Radiology Workflows and Student Training: Integrated Virtual Student Shadowing Experience, Education, and Evaluation. 723-731
Volume 35, Number 4, August 2022
- David Avrin:
The "P" in HIPAA Stands for Portability. 733-734 - David S. Mendelson:
Image Exchange: an International Perspective. 735-736 - Geraldine B. McGinty:
#DitchtheDisk. 737-738 - David S. Mendelson, Chris Carr, Blanca Didi Davis:
The RSNA ImageShare - Enabling Secure, Transparent, and Easy Image Exchange. 739-742 - Jason Nagels, Sida Wu, Dale Anderson, Kate Black, Vidas Nikolajevas, David Koff:
Image Exchange in Canada: Examples from the Province of Ontario. 743-753 - Rajeev Nowrangi, Laurie A. Perry, Jennifer Regan, David Hulefeld, Sarah O'Brien, Timothy J. O'Connor, Alexander J. Towbin:
Creation of a Multi-vendor Image-Sharing Solution. 754-759 - Andries Hamster, Alex Settels, Maarten Festen:
IHE-Based Image Exchange in the Netherlands. 760-765 - Blanca Didi Davis, David S. Mendelson, Alan Swenson:
An Interview with the Carequality Imaging Use Case Implementers. 766-771 - Yasunari Shiokawa, Noriko Mori, Takaya Sakusabe, Takeshi Imai, Hiroshi Watanabe, Michio Kimura:
Medical Image Sharing in Japan. 772-784 - Christopher J. Roth, Hope H. Harten, Matt Dewey, Don K. Dennison:
How Image Exchange Breaks Down: the Image Library Perspective. 785-795 - Monief Eid, Mosa Al Mutairi, Hakki M. Karakas, Usama Mohammad Hassan Al Bastaki, Abdulaziz Abdulrahman Nasser Almosabihi, Adel Abdulkader Tash, Nasser Mohammed Al Huqbani, Abdulelah Abdulrahman AlMayman, Alabbas Nasser Albarakati, Reem AlRakaf, Mohammed Othman Alomair, Bader Awladthani:
Image Exchange in the Middle East: a Survey. 796-811 - Blanca Didi Davis, Alan Swenson:
How Carequality, The Sequoia Project, and eHealth Exchange Support the Interoperable Exchange of Health Data in the USA. 812-816 - Seth J. Berkowitz, David Kwan, Toby C. Cornish, Elliot Lewis Silver, Karen S. Thullner, Alex Aisen, Marilyn M. Bui, Shawn D. Clark, David A. Clunie, Monief Eid, Douglas J. Hartman, Kinson Ho, Andrei Leontiev, Damien M. Luviano, Peter E. O'Toole, Anil V. Parwani, Nielsen S. Pereira, Veronica Rotemberg, David J. Vining, Cree M. Gaskin, Christopher J. Roth, Les R. Folio:
Interactive Multimedia Reporting Technical Considerations: HIMSS-SIIM Collaborative White Paper. 817-833 - Cheng-Hsun Yang, Hsuan-Ming Huang:
Simultaneous Denoising of Dynamic PET Images Based on Deep Image Prior. 834-845 - Hyo Min Lee, Young Jae Kim, Je Bok Cho, Ji Young Jeon, Kwang Gi Kim:
Computer-Aided Diagnosis for Determining Sagittal Spinal Curvatures Using Deep Learning and Radiography. 846-859 - Sara Zullino, Alessandro Paglialonga, Walter Dastrù, Dario Longo, Silvio Aime:
XNAT-PIC: Extending XNAT to Preclinical Imaging Centers. 860-875 - James Whitfill, Edward Kalpas, Pamela Garcia-Filion:
Reuniting Long Lost Cousins: a Novel Curriculum in Imaging Informatics for Clinical Informatics Fellows. 876-880 - Yee Liang Thian, Dian Wen Ng, James Thomas Patrick Decourcy Hallinan, Pooja Jagmohan, Soon Yiew Sia, Jalila Sayed Adnan Mohamed, Swee Tian Quek, Mengling Feng:
Effect of Training Data Volume on Performance of Convolutional Neural Network Pneumothorax Classifiers. 881-892 - Ruhul Amin Hazarika, Arnab Kumar Maji, Raplang Syiem, Samarendra Nath Sur, Debdatta Kandar:
Hippocampus Segmentation Using U-Net Convolutional Network from Brain Magnetic Resonance Imaging (MRI). 893-909 - Yane Li, Wei Yuan, Ming Fan, Bin Zheng, Lihua Li:
Prediction of Short-Term Breast Cancer Risk with Fusion of CC- and MLO-Based Risk Models in Four-View Mammograms. 910-922 - Yanwen Sun, Bo Pan, Yili Fu:
Lightweight Deep Neural Network for Articulated Joint Detection of Surgical Instrument in Minimally Invasive Surgical Robot. 923-937 - Salma Alqazzaz, Xianfang Sun, Len D. M. Nokes, Hong Yang, Yingxia Yang, Ronghua Xu, Yanqiang Zhang, Xin Yang:
Combined Features in Region of Interest for Brain Tumor Segmentation. 938-946 - Kamel K. Mohammed, Aboul Ella Hassanien, Heba M. Afify:
Classification of Ear Imagery Database using Bayesian Optimization based on CNN-LSTM Architecture. 947-961 - Noam Barda, Noa Dagan, Amos Stemmer, Janni Yuval, Eitan Bachmat, Eldad Elnekave, Ran D. Balicer:
Improving Cardiovascular Disease Prediction Using Automated Coronary Artery Calcium Scoring from Existing Chest CTs. 962-969 - Noemi Garau, Alessandro Orro, Paul E. Summers, Lorenza De Maria, Raffaella Bertolotti, Danny Bassis, Marta Minotti, Elvio De Fiori, Guido Baroni, Chiara Paganelli, Cristiano Rampinelli:
Integrating Biological and Radiological Data in a Structured Repository: a Data Model Applied to the COSMOS Case Study. 970-982 - Juebin Jin, Haiyan Zhu, Yingyan Teng, Yao Ai, Congying Xie, Xiance Jin:
The Accuracy and Radiomics Feature Effects of Multiple U-net-Based Automatic Segmentation Models for Transvaginal Ultrasound Images of Cervical Cancer. 983-992 - Amandine Crombé, Mylène Seux, Flavie Bratan, Jean-Francois Berger, Nathan Banaste, Vivien Thomson, Jean-Christophe Lecomte, Guillaume Gorincour:
What Influences the Way Radiologists Express Themselves in Their Reports? A Quantitative Assessment Using Natural Language Processing. 993-1007 - M. Madhumalini, T. Meera Devi:
Detection of Glaucoma from Fundus Images Using Novel Evolutionary-Based Deep Neural Network. 1008-1022 - Praitayini Kanakaraj, Karthik Ramadass, Shunxing Bao, Melissa A. Basford, Laura M. Jones, Ho Hin Lee, Kaiwen Xu, Kurt G. Schilling, John Jeffrey Carr, James G. Terry, Yuankai Huo, Kim L. Sandler, Allen T. Netwon, Bennett A. Landman:
Workflow Integration of Research AI Tools into a Hospital Radiology Rapid Prototyping Environment. 1023-1033 - Xiaoai Dong, Fei Fan, Wei Wu, Hanjie Wen, Hu Chen, Kui Zhang, Ji Zhang, Zhenhua Deng:
Forensic Identification from Three-Dimensional Sphenoid Sinus Images Using the Iterative Closest Point Algorithm. 1034-1040 - Damodar Reddy Edla, Simi Venuji Renuka, Justin Joseph:
A Noise-robust and Overshoot-free Alternative to Unsharp Masking for Enhancing the Acuity of MR Images. 1041-1060 - Minki Chung, Seo Taek Kong, Beomhee Park, Younjoon Chung, Kyu-Hwan Jung, Joon Beom Seo:
Utilizing Synthetic Nodules for Improving Nodule Detection in Chest Radiographs. 1061-1068
Volume 35, Number 5, October 2022
- Magdalena Dobrzynska, Anna Wysocka-Rabin, Ewa Fabiszewska, Katarzyna Pasicz, Witold Skrzynski:
New Software for DQE Calculation in Digital Mammography Compliant with IEC 62220-1-2. 1069-1078 - Shasha Hu, Yongbei Zhu, Di Dong, Bei Wang, Zuofu Zhou, Chi Wang, Jie Tian, Yun Peng:
Chest Radiographs Using a Context-Fusion Convolution Neural Network (CNN): Can It Distinguish the Etiology of Community-Acquired Pneumonia (CAP) in Children? 1079-1090 - Sangmi Lee, Myeongkyun Kang, Keunho Byeon, Sang Eun Lee, In Ho Lee, Young Ah Kim, Shin-Wook Kang, Jung Tak Park:
Machine Learning-Aided Chronic Kidney Disease Diagnosis Based on Ultrasound Imaging Integrated with Computer-Extracted Measurable Features. 1091-1100 - Tang-Kai Yin, Kai-Lun Huang, Si-Rong Chiu, Yu-Qi Yang, Bao-Rong Chang:
Endoscopy Artefact Detection by Deep Transfer Learning of Baseline Models. 1101-1110 - Swagata Kundu, Vikrant Anilrao Karale, Goutam Kumar Ghorai, Gautam Sarkar, Sambuddha Ghosh, Ashis Kumar Dhara:
Nested U-Net for Segmentation of Red Lesions in Retinal Fundus Images and Sub-image Classification for Removal of False Positives. 1111-1119 - Brian Arun Xavier, Po-Hao Chen:
Natural Language Processing for Imaging Protocol Assignment: Machine Learning for Multiclass Classification of Abdominal CT Protocols Using Indication Text Data. 1120-1130 - América Bueno, Ignacio Bosch, Alejandro Rodríguez, Ana Jiménez, Joan Carreres, Matías Fernández, Luis Martí-Bonmatí, Angel Alberich-Bayarri:
Automated Cervical Spinal Cord Segmentation in Real-World MRI of Multiple Sclerosis Patients by Optimized Hybrid Residual Attention-Aware Convolutional Neural Networks. 1131-1142 - Joseph N. Stember, Hrithwik Shalu:
Deep Reinforcement Learning with Automated Label Extraction from Clinical Reports Accurately Classifies 3D MRI Brain Volumes. 1143-1152 - Xiangcong Xu, Xuehua Wang, Jingyi Lin, Honglian Xiong, Mingyi Wang, Haishu Tan, Ke Xiong, Dingan Han:
Automatic Segmentation and Measurement of Choroid Layer in High Myopia for OCT Imaging Using Deep Learning. 1153-1163