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ORCIDJournal of Digital Imaging, Volume 36
Volume 36, Number 1, February 2023
- Roger Gerard
, 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: Building Consensus on the Most Critical Topics and the Future of the Informatics Fellowship. 1-10 - Chintan Shah, Karapet Davtyan, Ilya M. Nasrallah, R. Nick Bryan, Suyash Mohan:
Artificial Intelligence-Powered Clinical Decision Support and Simulation Platform for Radiology Trainee Education. 11-16 - Anith Chacko, Phassawan Rungsiprakarn, Ivan Erlic, Ngoc Jade Thai, Savvas Andronikou:
Fidelity of 3D Printed Brains from MRI Scan in Children with Pathology (Prior Hypoxic Ischemic Injury). 17-28 - Vivek A. Pisharody, Hooman Yarmohammadi, Etay Ziv, Vlasios S. Sotirchos, Erica Alexander, Constantino Sofocleous, Joseph P. Erinjeri:
Reducing Wait Times for Radiology Exams Around Holiday Periods: A Monte Carlo Simulation. 29-37 - Nuran Akyurt:
Radiology Technologists' Perspective on Medical Imaging Device Use and Related Technologies: a Cross-sectional Survey with Respect to Hospital Type. 38-44 - Narendra Kumar Rout, Mitul Kumar Ahirwal, Mithilesh Atulkar:
Content-Based Medical Image Retrieval System for Skin Melanoma Diagnosis Based on Optimized Pair-Wise Comparison Approach. 45-58 - Dhiravidachelvi E., Senthil Pandi S., Prabavathi R., Bala Subramanian Chokkalingam:
Artificial Humming Bird Optimization-Based Hybrid CNN-RNN for Accurate Exudate Classification from Fundus Images. 59-72 - Feng Liu, Lei Gao, Jun Wan, Zhi-Lei Lyu, Ying-Ying Huang, Chao Liu, Min Han:
Recognition of Digital Dental X-ray Images Using a Convolutional Neural Network. 73-79 - Seyed Ali Reza Moezzi, Abdolrahman Ghaedi, Mojdeh Rahmanian, Seyedeh Zahra Mousavi, Ashkan Sami:
Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique. 80-90 - Wilson Lau, Kevin Lybarger, Martin L. Gunn, Meliha Yetisgen:
Event-Based Clinical Finding Extraction from Radiology Reports with Pre-trained Language Model. 91-104 - Imon Banerjee, Melissa A. Davis, Brianna L. Vey, Sina Mazaheri, Fiza Khan, Vaz Zavaletta, Roger Gerard, Judy Wawira Gichoya, Bhavik N. Patel:
Natural Language Processing Model for Identifying Critical Findings - A Multi-Institutional Study. 105-113 - Xiujuan Liu, Jun Mao, Ning Sun, Xiangrong Yu, Lei Chai, Ye Tian, Jianming Wang, Jianchao Liang, Haiquan Tao, Lihua Yuan, Jiaming Lu, Yang Wang, Bing Zhang, Kaihua Wu, Yiding Wang, Mengjiao Chen, Zhishun Wang, Ligong Lu:
Deep Learning for Detection of Intracranial Aneurysms from Computed Tomography Angiography Images. 114-123 - Xuchu Wang, Fusheng Wang, Yanmin Niu:
Two-Stage CNN Whole Heart Segmentation Combining Image Enhanced Attention Mechanism and Metric Classification. 124-142 - Giorgio Davico, Francesca Bottin, Alberto Di Martino, Vanita Castafaro, Fabio Baruffaldi, Cesare Faldini, Marco Viceconti:
Intra-operator Repeatability of Manual Segmentations of the Hip Muscles on Clinical Magnetic Resonance Images. 143-152 - Eung-Joo Lee, Setareh Farzinfard, Pavel Yarmolenko, Kevin Cleary, Reza Monfaredi:
Toward Robust Partial-Image Based Template Matching Techniques for MRI-Guided Interventions. 153-163 - Pierre J. Chambon, Tessa Sundaram Cook, Curtis P. Langlotz:
Improved Fine-Tuning of In-Domain Transformer Model for Inferring COVID-19 Presence in Multi-Institutional Radiology Reports. 164-177 - Toshimasa Matsumoto, Shannon Leigh Walston, Michael Walston, Daijiro Kabata, Yukio Miki, Masatsugu Shiba, Daiju Ueda:
Deep Learning-Based Time-to-Death Prediction Model for COVID-19 Patients Using Clinical Data and Chest Radiographs. 178-188 - Lisa Anita De Santi, Elena Pasini, Maria Filomena Santarelli, Dario Genovesi, Vincenzo Positano:
An Explainable Convolutional Neural Network for the Early Diagnosis of Alzheimer's Disease from 18F-FDG PET. 189-203 - Zhaolin Chen, Kamlesh Pawar, Mevan Ekanayake, Cameron Dennis Pain, Shenjun Zhong, Gary F. Egan:
Deep Learning for Image Enhancement and Correction in Magnetic Resonance Imaging - State-of-the-Art and Challenges. 204-230 - Lekshmi Kalinathan, Ruba Soundar Kathavarayan:
Segmentation of Multiple Nuclei from Non-overlapping Immuno-histochemically Stained Histological Hepatic Images. 231-239 - Hee Rim Yun, Min Jin Lee, Helen Hong, Kyu Won Shim:
Inter-Slice Resolution Improvement Using Convolutional Neural Network with Orbital Bone Edge-Aware in Facial CT Images. 240-249 - Xianchao Wang, Shaoyi Li, Changhui Hou:
Interior Reconstruction from Truncated Projection Data in Cone-beam Computed Tomography. 250-258 - S. Boopathiraja, P. Kalavathi, S. Deoghare, V. B. Surya Prasath:
Near Lossless Compression for 3D Radiological Images Using Optimal Multilinear Singular Value Decomposition (3D-VOI-OMLSVD). 259-275 - Fariha Aamir, Ibtisam Aslam, Madiha Arshad, Hammad Omer:
Accelerated Diffusion-Weighted MR Image Reconstruction Using Deep Neural Networks. 276-288 - Julia Cluceru, Janine M. Lupo, Yannet Interian, Riley Bove, Jason C. Crane:
Improving the Automatic Classification of Brain MRI Acquisition Contrast with Machine Learning. 289-305 - Hatice Catal Reis, Veysel Turk:
Transfer Learning Approach and Nucleus Segmentation with MedCLNet Colon Cancer Database. 306-325 - Yu Wang, Yu Hong, Yue Wang, Xin Zhou, Xin Gao, Chenyan Yu, Jiaxi Lin, Lu Liu, Jingwen Gao, Minyue Yin, Guoting Xu, Xiaolin Liu, Jinzhou Zhu:
Automated Multimodal Machine Learning for Esophageal Variceal Bleeding Prediction Based on Endoscopy and Structured Data. 326-338 - Chao Fan, Hao Lin, Yingying Qiu:
U-Patch GAN: A Medical Image Fusion Method Based on GAN. 339-355 - Juliana Simeão Borges, Vitor Cardoso Costa, Milena Suemi Irie, Gabriella Lopes de Rezende Barbosa, Rubens Spin-Neto, Priscilla Barbosa Ferreira Soares:
Definition of the Region of Interest for the Assessment of Alveolar Bone Repair Using Micro-computed Tomography. 356-364 - Paras Lakhani, J. Mongan, Chinmay Singhal, Q. Zhou, Katherine P. Andriole, William F. Auffermann, Prasanth Prasanna, Theresa X. Pham, Michael Peterson, P. J. Bergquist, Tessa Sundaram Cook, S. F. Ferraciolli, G. C. A. Corradi, MS Takahashi, C. S. Workman, Maansi R. Parekh, S. I. Kamel, Joaquin Galant, A. Mas-Sanchez, E. C. Benítez, M. Sánchez-Valverde, L. Jaques, M. Panadero, M. Vidal, M. Culiañez-Casas, D. Angulo-Gonzalez, Steve G. Langer, María de la Iglesia-Vayá, George Shih:
The 2021 SIIM-FISABIO-RSNA Machine Learning COVID-19 Challenge: Annotation and Standard Exam Classification of COVID-19 Chest Radiographs. 365-372 - Kelsey Parks, Xiaoqi Liu, Tahsin Reasat, Zain Khera, Laura X. Baker, Heidi Chen, Benoit M. Dawant, Inga Saknite, Eric R. Tkaczyk:
Non-Expert Markings of Active Chronic Graft-Versus-Host Disease Photographs: Optimal Metrics of Training Effects. 373-378
Volume 36, Number 2, April 2023
- Claes Lundström, Martin Lindvall:
Mapping the Landscape of Care Providers' Quality Assurance Approaches for AI in Diagnostic Imaging. 379-387 - Umber Shafique, Stephen L. Hillis, Jinha M. Park, David M. Kuehn, Maheen Rajput:
Radiologists Help Each Other to Improve Efficiency by Decreasing the Time to Look Up a Patient's Relevant Clinical History in the Electronic Medical Record. 388-394 - Akhil Dhamija, Laurie A. Perry, Timothy J. O'Connor, Lisa Ulland, Evan Slavik, Alexander J. Towbin:
Development and Implementation of a Semi-Automated Workflow for Point-of-Care Ultrasound Billing and Documentation Within an Electronic Health Record. 395-400 - Rutwik Shah, Bruno Astuto Arouche Nunes, Tyler Gleason, Will Fletcher, Justin Banaga, Kevin Sweetwood, Allen Ye, Rina Patel, Kevin C. McGill, Thomas M. Link, Jason C. Crane, Valentina Pedoia, Sharmila Majumdar:
Utilizing a Digital Swarm Intelligence Platform to Improve Consensus Among Radiologists and Exploring Its Applications. 401-413 - Olubunmi Omobola Sule, Serestina Viriri:
Contrast Enhancement of RGB Retinal Fundus Images for Improved Segmentation of Blood Vessels Using Convolutional Neural Networks. 414-432 - Hamidreza Bolhasani, Somayyeh Jafarali Jassbi, Arash Sharifi:
DLA-H: A Deep Learning Accelerator for Histopathologic Image Classification. 433-440 - Yi-xin Li, Feng Chen, Jiao-jiao Shi, Yu-li Huang, Mei Wang:
Convolutional Neural Networks for Classifying Cervical Cancer Types Using Histological Images. 441-449 - Charlie C. Park, Marijn E. Brummer, Gelareh Sadigh, Amit M. Saindane, Mark E. Mullins, Jason W. Allen, Ranliang Hu:
Automated Registration and Color Labeling of Serial 3D Double Inversion Recovery MR Imaging for Detection of Lesion Progression in Multiple Sclerosis. 450-457 - Yuanwei He, Li Zeng, Wei Chen, Changcheng Gong, Zhaoqiang Shen:
Bilateral Weighted Relative Total Variation for Low-Dose CT Reconstruction. 458-467 - Besma Mnassri, Amira Echtioui, Fathi Kallel, Ahmed Ben Hamida, Mariem Dammak, Chokri Mhiri, Kheireddine Ben Mahfoudh:
New Contrast Enhancement Method for Multiple Sclerosis Lesion Detection. 468-485 - Hans Veerman, Caroline M. A. Hoeks, Judith H. Sluijter, Jari A. van der Eijk, Thierry N. Boellaard, Ton A. Roeleveld, Tim M. van der Sluis, Jakko A. Nieuwenhuijzen, Esther Wit, Erik-Jan Rijkhorst, Martijn W. Heymans, Maarten J. A. van Alphen, Robert Leonardus Petrus van Veen, André N. Vis, Henk G. van der Poel, Pim J. van Leeuwen:
3D-Reconstructed Contact Surface Area and Tumour Volume on Magnetic Resonance Imaging Improve the Prediction of Extraprostatic Extension of Prostate Cancer. 486-496 - Maziar Sabouri, Ghasem Hajianfar, Zahra Hosseini, Mehdi Amini, Mobin Mohebi, Tahereh Ghaedian, Shabnam Madadi, Fereydoon Rastgou, Mehrdad Oveisi, Ahmad Bitarafan-rajabi, Isaac Shiri, Habib Zaidi:
Myocardial Perfusion SPECT Imaging Radiomic Features and Machine Learning Algorithms for Cardiac Contractile Pattern Recognition. 497-509 - T. S. Sheela Shiney, S. Albert Jerome:
An Intelligent System to Enhance the Performance of Brain Tumor Diagnosis from MR Images. 510-525 - Norsang Lama, Reda Kasmi, Jason R. Hagerty, Ronald Joe Stanley, Reagan Young, Jessica Miinch, Januka Nepal, Anand K. Nambisan, William V. Stoecker:
ChimeraNet: U-Net for Hair Detection in Dermoscopic Skin Lesion Images. 526-535 - Joseph N. Stember, Robert J. Young, Hrithwik Shalu:
Direct Evaluation of Treatment Response in Brain Metastatic Disease with Deep Neuroevolution. 536-546 - Yueyuan Ao, Hong Wu:
Feature Aggregation and Refinement Network for 2D Anatomical Landmark Detection. 547-561 - Ramgopal Kashyap:
Stochastic Dilated Residual Ghost Model for Breast Cancer Detection. 562-573 - Mohammad Salehi, Alireza Vafaei Sadr, Seied Rabi Mahdavi, Hossein Arabi, Isaac Shiri, Reza Reiazi:
Deep Learning-based Non-rigid Image Registration for High-dose Rate Brachytherapy in Inter-fraction Cervical Cancer. 574-587 - Patiwet Wuttisarnwattana, Sansanee Auephanwiriyakul:
Spleen Tissue Segmentation Algorithm for Cryo-Imaging Data. 588-602 - Alberto Di Napoli, Emanuela Tagliente, Luca Pasquini, Enrica Cipriano, Filomena Pietrantonio, Piermaria Ortis, Simona Curti, Alessandro Boellis, Teseo Stefanini, Antonio Bernardini, Chiara Angeletti, Sofia Chiatamone Ranieri, Paola Franchi, Ioan Paul Voicu, Carlo Capotondi, Antonio Napolitano:
3D CT-Inclusive Deep-Learning Model to Predict Mortality, ICU Admittance, and Intubation in COVID-19 Patients. 603-616 - Haiying Yuan, Yanrui Wu, Mengfan Dai:
Multi-Modal Feature Fusion-Based Multi-Branch Classification Network for Pulmonary Nodule Malignancy Suspiciousness Diagnosis. 617-626 - Ridhi Arora, Balasubramanian Raman:
BUS-Net: Breast Tumour Detection Network for Ultrasound Images Using Bi-directional ConvLSTM and Dense Residual Connections. 627-646 - Shiny K. V., N. Sugitha:
BirCat Optimization for Automatic Segmentation of Brain Tumors and Pixel Change Detection Using Post-operative MRI Images. 647-665 - Shixing Cao, Nicholas Konz, James S. Duncan, Maciej A. Mazurowski:
Deep Learning for Breast MRI Style Transfer with Limited Training Data. 666-678 - Tuikku Anttila, Teemu V. Karjalainen, Teemu Mäkelä, Eero M. Waris, Nina C. Lindfors, Miika Leminen, Jorma O. Ryhänen:
Detecting Distal Radius Fractures Using a Segmentation-Based Deep Learning Model. 679-687 - Yang Chen, Xuewen Hou, Yifeng Yang, Qianqian Ge, Yan Zhou, Shengdong Nie:
A Novel Deep Learning Model Based on Multi-Scale and Multi-View for Detection of Pulmonary Nodules. 688-699 - Raphael Y. Cohen, Aaron D. Sodickson:
An Orchestration Platform that Puts Radiologists in the Driver's Seat of AI Innovation: a Methodological Approach. 700-714 - Mathias Kaspar, Leon Liman, Caroline Morbach, Georg Dietrich, Lea Katharina Seidlmayer, Frank Puppe, Stefan Störk:
Querying a Clinical Data Warehouse for Combinations of Clinical and Imaging Data. 715-724 - Hazique Aetesam, Suman Kumar Maji:
Perceptually Motivated Generative Model for Magnetic Resonance Image Denoising. 725-738 - Michael Yeung, Leonardo Rundo, Yang Nan, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang:
Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation. 739-752 - Tseng-Tse Chen, Ying-Chou Sun, Woei-Chyn Chu, Chung-Yueh Lien:
BlueLight: An Open Source DICOM Viewer Using Low-Cost Computation Algorithm Implemented with JavaScript Using Advanced Medical Imaging Visualization. 753-763 - Piero Chiacchiaretta, Mauro Gianni Perrucci, Massimo Caulo, Riccardo Navarra, Gaia Baldiraghi, Davide Rolandi, Sabino Luzzi, Mattia Del Maestro, Renato Juan Galzio, Antonio Ferretti:
Correction: A Dedicated Tool for Presurgical Mapping of Brain Tumors and Mixed-Reality Navigation During Neurosurgery. 764-765
Volume 36, Number 3, June 2023
- Ilya Pershin, Tamerlan Mustafaev, Dilyara Ibragimova, Bulat Ibragimov:
Changes in Radiologists' Gaze Patterns Against Lung X-rays with Different Abnormalities: a Randomized Experiment. 767-775 - Tianyuan Fu, Sheila Berlin, Amit Gupta, Donna Plecha, Jeffrey L. Sunshine, Jennifer Sommer:
Implementing a Streamlined Radiology Workflow to Close the Loop on Incidental Imaging Findings in the Emergency Department. 776-786 - Joseph H. Yacoub, Matthew D. Bourne, Pranay Krishnan:
The Virtual Radiology Reading Room: Initial Perceptions of Referring Providers and Radiologists. 787-793 - Shih-Tsang Tang, Victoria Tjia, Thalia Noga, Jeshika Febri, Chung-Yueh Lien, Woei-Chyn Chu, Chin-Yu Chen, Chia-Hung Hsiao:
Creating a Medical Imaging Workflow Based on FHIR, DICOMweb, and SVG. 794-803 - Kaitlin M. Zaki-Metias, Jeffrey J. MacLean, Alexander M. Satei, Serguei Medvedev, Huijuan Wang, Christopher C. Zarour, Paul J. Arpasi:
The FIND Program: Improving Follow-up of Incidental Imaging Findings. 804-811 - Sneha Mithun, Ashish Kumar Jha, Umeshkumar B. Sherkhane, Vinay Jaiswar, Nilendu Purandare, Andre Dekker, Sander Puts, Iñigo Bermejo, Venkatesh Rangarajan, Catharina M. L. Zegers, Leonard Wee:
Clinical Concept-Based Radiology Reports Classification Pipeline for Lung Carcinoma. 812-826 - Minyue Yin, Xiaolong Liang, Zilan Wang, Yijia Zhou, Yu He, Yuhan Xue, Jingwen Gao, Jiaxi Lin, Chenyan Yu, Lu Liu, Xiaolin Liu, Chao Xu, Jinzhou Zhu:
Identification of Asymptomatic COVID-19 Patients on Chest CT Images Using Transformer-Based or Convolutional Neural Network-Based Deep Learning Models. 827-836 - Shahriar Faghani, Bardia Khosravi, Mana Moassefi, Gian Marco Conte, Bradley J. Erickson:
A Comparison of Three Different Deep Learning-Based Models to Predict the MGMT Promoter Methylation Status in Glioblastoma Using Brain MRI. 837-846 - S. Deepa, J. Janet, S. Sumathi, J. P. Ananth:
Hybrid Optimization Algorithm Enabled Deep Learning Approach Brain Tumor Segmentation and Classification Using MRI. 847-868 - Ilkay Yildiz Potter, Diana Yeritsyan, Sarah Mahar, Jim Wu, Ara Nazarian, Aidin Vaziri, Ashkan Vaziri:
Automated Bone Tumor Segmentation and Classification as Benign or Malignant Using Computed Tomographic Imaging. 869-878 - Suat Kamil Sut, Mustafa Koc, Gokhan Zorlu, Ihsan Serhatlioglu, Prabal Datta Barua, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Ru San Tan, U. Rajendra Acharya:
Automated Adrenal Gland Disease Classes Using Patch-Based Center Symmetric Local Binary Pattern Technique with CT Images. 879-892 - Yang-Tse Lin, Ben-Chang Shia, Chia-Jung Chang, Yueh Wu, Jheng-Dao Yang, Jiunn-Horng Kang:
Using Transfer Learning of Convolutional Neural Network on Neck Radiographs to Identify Acute Epiglottitis. 893-901 - Kyungjin Cho, Ki Duk Kim, Yujin Nam, Jiheon Jeong, Jeeyoung Kim, Changyong Choi, Soyoung Lee, Jun Soo Lee, Seoyeon Woo, Gil-Sun Hong, Joon Beom Seo, Namkug Kim:
CheSS: Chest X-Ray Pre-trained Model via Self-supervised Contrastive Learning. 902-910 - Viet-Huan Le, Quang-Hien Kha, Minh-Tien Nguyen, Van Hiep Nguyen, Van Long Le, Nguyen-Quoc-Khanh Le:
Development and Validation of CT-Based Radiomics Signature for Overall Survival Prediction in Multi-organ Cancer. 911-922 - Xiaokun Liang, Jingjing Dai, Xuanru Zhou, Lin Liu, Chulong Zhang, Yuming Jiang, Na Li, Tianye Niu, Yaoqin Xie, Zhenhui Dai, Xuetao Wang:
An Unsupervised Learning-Based Regional Deformable Model for Automated Multi-Organ Contour Propagation. 923-931 - Hua Chen, Minglun Ma, Gang Liu, Ying Wang, Zhihao Jin, Chong Liu:
Breast Tumor Classification in Ultrasound Images by Fusion of Deep Convolutional Neural Network and Shallow LBP Feature. 932-946 - Tao Peng, Yiyun Wu, Jing Zhao, Caishan Wang, Jin Wang, Jing Cai:
Ultrasound Prostate Segmentation Using Adaptive Selection Principal Curve and Smooth Mathematical Model. 947-963 - Masis Isikbay, Michael Travis Caton, Evan Calabrese:
A Deep Learning Approach for Automated Bone Removal from Computed Tomography Angiography of the Brain. 964-972 - Taha Müezzinoglu, Nursena Baygin, Ilknur Tuncer, Prabal Datta Barua, Mehmet Baygin, Sengul Dogan, Turker Tuncer, Elizabeth Emma Palmer, Kang Hao Cheong, U. Rajendra Acharya:
PatchResNet: Multiple Patch Division-Based Deep Feature Fusion Framework for Brain Tumor Classification Using MRI Images. 973-987 - Jianjun Yuan, Fujun Wu, Yuxi Li, Jinyi Li, Guojun Huang, Quanyong Huang:
DPDH-CapNet: A Novel Lightweight Capsule Network with Non-routing for COVID-19 Diagnosis Using X-ray Images. 988-1000 - Dong-Xu Zhang, Bowen Liu, Yulin Huang, Yang Yan, Shaowei Li, Jinshui He, Shuyun Zhang, Jun Zhang, Ning-Shao Xia:
An Automated TW3-RUS Bone Age Assessment Method with Ordinal Regression-Based Determination of Skeletal Maturity. 1001-1015 - Chrysostomos Marasinou, Bo Li, Jeremy Paige, Akinyinka Omigbodun, Noor Nakhaei, Anne Hoyt, William Hsu:
Improving the Quantitative Analysis of Breast Microcalcifications: A Multiscale Approach. 1016-1028 - Jing Lin, Yunjie Yu, Xianlong Zhang, Zhenglei Wang, Shujuan Li:
Classification of Histological Types and Stages in Non-small Cell Lung Cancer Using Radiomic Features Based on CT Images. 1029-1037 - Guido Costa, Lara Cavinato, Francesco Fiz, Martina Sollini, Arturo Chiti, Guido Torzilli, Francesca Ieva, Luca Viganò:
Mapping Tumor Heterogeneity via Local Entropy Assessment: Making Biomarkers Visible. 1038-1048 - Chih-Chieh Liu, Yasser G. Abdelhafez, S. Paran Yap, Francesco Acquafredda, Silvia Schirò, Andrew L. Wong, Dani Sarohia, Cyrus Bateni, Morgan Angus Darrow, Michele Guindani, Sonia Lee, Michelle Zhang, Ahmed W. Moawad, Quinn Kwan-Tai Ng, Layla Shere, Khaled M. Elsayes, Roberto Maroldi, Thomas M. Link, Lorenzo Nardo, Jinyi Qi:
AI-Based Automated Lipomatous Tumor Segmentation in MR Images: Ensemble Solution to Heterogeneous Data. 1049-1059 - Rita Fabiane Teixeira Gomes, Lauren Frenzel Schuch, Manoela Domingues Martins, Emerson Ferreira Honório, Rodrigo Marques de Figueiredo, Jean Schmith, Giovanna Nunes Machado, Vinicius Coelho Carrard:
Use of Deep Neural Networks in the Detection and Automated Classification of Lesions Using Clinical Images in Ophthalmology, Dermatology, and Oral Medicine - A Systematic Review. 1060-1070 - Piero Chiacchiaretta, Domenico Mastrodicasa, Antonio Maria Chiarelli, Riccardo Luberti, Pierpaolo Croce, Mario Sguera, Concetta Torrione, Camilla Marinelli, Chiara Marchetti, Angelucci Domenico, Giulio Cocco, Angela Di Credico, Alessandro Russo, Claudia D'Eramo, Antonio Corvino, Marco Colasurdo, Stefano L. Sensi, Marzia Muzi, Massimo Caulo, Andrea Delli Pizzi:
MRI-Based Radiomics Approach Predicts Tumor Recurrence in ER + /HER2 - Early Breast Cancer Patients. 1071-1080 - Fuk-hay Tang, Cheng Xue, Maria Y. Y. Law, Chui-Ying Wong, Tze-Hei Cho, Chun-Kit Lai:
Prognostic Prediction of Cancer Based on Radiomics Features of Diagnostic Imaging: The Performance of Machine Learning Strategies. 1081-1090 - Jonathan Troville, Stephen Rudin, Daniel R. Bednarek:
A Prototype Software System for Intra-procedural Staff Dose Monitoring and Virtual Reality Training for Fluoroscopically Guided Interventional Procedures. 1091-1109 - Peng Jiang, Juan Liu, Qiang Luo, Baochuan Pang, Di Xiao, Dehua Cao:
Development of Automatic Portable Pathology Scanner and Its Evaluation for Clinical Practice. 1110-1122 - S. Mohan, N. Kasthuri:
Automatic Segmentation of Psoriasis Skin Images Using Adaptive Chimp Optimization Algorithm-Based CNN. 1123-1136 - Syed Qasim Gilani, Tehreem Syed, Muhammad Umair, Oge Marques:
Skin Cancer Classification Using Deep Spiking Neural Network. 1137-1147 - Jin Wei, Suqin Yu, Yuchen Du, Kun Liu, Yupeng Xu, Xun Xu:
Automatic Segmentation of Hyperreflective Foci in OCT Images Based on Lightweight DBR Network. 1148-1157 - Germana de Queiroz Tavares Borges Mesquita, Walbert A. Vieira, Maria Tereza Campos Vidigal, Bruno Augusto Nassif Travençolo, Thiago Leite Beaini, Rubens Spin-Neto, Luiz Renato Paranhos, Rui Barbosa de Brito Júnior:
Artificial Intelligence for Detecting Cephalometric Landmarks: A Systematic Review and Meta-analysis. 1158-1179 - William V. Wagstaff, Alexander Villalobos, Judy Gichoya, Nima Kokabi:
Using Deep Learning to Predict Treatment Response in Patients with Hepatocellular Carcinoma Treated with Y90 Radiation Segmentectomy. 1180-1188 - Xiao T. Li, Jason W. Allen, Ranliang Hu:
Implementation of Automated Pipeline for Resting-State fMRI Analysis with PACS Integration. 1189-1197 - Philip Hoelter, Stefan Lang, Vanessa Beuscher, Bernd Kallmuenzer, Michael Manhart, Stefan Schwab, Arnd Doerfler:
Extended Multimodal Flat Detector CT Imaging in Acute Ischemic Stroke: A Pilot Study. 1198-1207 - Chuanyu Liu, Yonghong Hou, Pengyu Zhao, Zihui Guo, Yueyang Li, Haoyuan Zhang, Jia Zhou:
Local Axial Scale-Attention for Universal Lesion Detection. 1208-1215 - Dinesh Kumar Atal:
Optimal Deep CNN-Based Vectorial Variation Filter for Medical Image Denoising. 1216-1236 - Myeong Seong Yoon, Gitaek Kwon, Jaehoon Oh, Jongbin Ryu, Jongwoo Lim, Bokyeong Kang, Juncheol Lee, Dongkyoon Han:
Effect of Contrast Level and Image Format on a Deep Learning Algorithm for the Detection of Pneumothorax with Chest Radiography. 1237-1247 - Metwally Rashad, Ibrahem Afifi, Mohammed Abdelfatah:
RbQE: An Efficient Method for Content-Based Medical Image Retrieval Based on Query Expansion. 1248-1261 - Qing Chang, Chenhao Lu, Mengke Li:
Cascading Affine and B-spline Registration Method for Large Deformation Registration of Lung X-rays. 1262-1278 - Soham Banerjee, Theresa X. Pham, Adriene Eastaway, William F. Auffermann, Edward P. Quigley:
The Use of Virtual Reality in Teaching Three-Dimensional Anatomy and Pathology on CT. 1279-1284
Volume 36, Number 4, August 2023
- Ankur M. Doshi, Dana Ostrow, August Gresens, Rachel Grimmelmann, Salman Mazhar, Eduardo Neto, Molly Woodriff, Michael Recht:
Fast and Frictionless: A Novel Approach to Radiology Appointment Scheduling Using a Mobile App and Recommendation Engine. 1285-1290 - Philippe Raffy, Jean François Pambrun, Ashish Kumar, David Dubois, Jay Waldron Patti, Robyn Alexandra Cairns, Ryan Young:
Deep Learning Body Region Classification of MRI and CT Examinations. 1291-1301 - Adarsh Ghosh, Daniella Patton, Saurav Bose, M. Katherine Henry, Minhui Ouyang, Hao Huang, Arastoo Vossough, Raymond W. Sze, Susan Sotardi, Michael L. Francavilla:
A Patch-Based Deep Learning Approach for Detecting Rib Fractures on Frontal Radiographs in Young Children. 1302-1313 - Longxiu Qi, Xing Lu, Hailin Shen, Qilei Gao, Zhigang Han, Jianguo Zhu, You Meng, Linhua Wang, Shuangqing Chen, Yonggang Li:
Automatic Classification of Mass Shape and Margin on Mammography with Artificial Intelligence: Deep CNN Versus Radiomics. 1314-1322 - Yanhong Chen, Lijun Wang, Xue Dong, Ran Luo, Yaqiong Ge, Huanhuan Liu, Yuzhen Zhang, Dengbin Wang:
Deep Learning Radiomics of Preoperative Breast MRI for Prediction of Axillary Lymph Node Metastasis in Breast Cancer. 1323-1331 - Yuyang Chen, Yiliang Wan, Feng Pan:
Enhancing Multi-disease Diagnosis of Chest X-rays with Advanced Deep-learning Networks in Real-world Data. 1332-1347 - Mobin Mohebi, Mehdi Amini, Mohammad Javad Alemzadeh-Ansari, Azin Alizadehasl, Ahmad Bitarafan-rajabi, Isaac Shiri, Habib Zaidi, Mahdi Orooji:
Post-revascularization Ejection Fraction Prediction for Patients Undergoing Percutaneous Coronary Intervention Based on Myocardial Perfusion SPECT Imaging Radiomics: a Preliminary Machine Learning Study. 1348-1363 - Vidhi Bishnoi, Nidhi Goel:
Tensor-RT-Based Transfer Learning Model for Lung Cancer Classification. 1364-1375 - Sumeet Menon, Jayalakshmi Mangalagiri, Joshua Galita, Michael Morris, Babak Saboury, Yaacov Yesha, Yelena Yesha, Phuong Nguyen, Aryya Gangopadhyay, David Chapman:
CCS-GAN: COVID-19 CT Scan Generation and Classification with Very Few Positive Training Images. 1376-1389 - Jingyu Zhong, Hailin Shen, Yong Chen, Yihan Xia, Xiaomeng Shi, Wei Lu, Jianying Li, Yue Xing, Yangfan Hu, Xiang Ge, Defang Ding, Zhenming Jiang, Weiwu Yao:
Evaluation of Image Quality and Detectability of Deep Learning Image Reconstruction (DLIR) Algorithm in Single- and Dual-energy CT. 1390-1407 - Huan-Chih Wang, Shao-Chung Wang, Jiun-Lin Yan, Li-Wei Ko:
Artificial Intelligence Model Trained with Sparse Data to Detect Facial and Cranial Bone Fractures from Head CT. 1408-1418 - Daniella Patton, Adarsh Ghosh, Amy Farkas, Susan Sotardi, Michael L. Francavilla, Shyam Venkatakrishna, Saurav Bose, Minhui Ouyang, Hao Huang, Richard Davidson, Raymond W. Sze, Jie Nguyen:
Automating Angle Measurements on Foot Radiographs in Young Children: Feasibility and Performance of a Convolutional Neural Network Model. 1419-1430 - Dhasny Lydia M, Dr. Prakash M:
An Improved Convolution Neural Network and Modified Regularized K-Means-Based Automatic Lung Nodule Detection and Classification. 1431-1446 - Yong-Tae Kim, Tae Seok Jeong, Young Jae Kim, Woo Seok Kim, Kwang Gi Kim, Gi Taek Yee:
Automatic Spine Segmentation and Parameter Measurement for Radiological Analysis of Whole-Spine Lateral Radiographs Using Deep Learning and Computer Vision. 1447-1459 - Dewinda Julianensi Rumala, Peter M. A. van Ooijen, Reza Fuad Rachmadi, Anggraini Dwi Sensusiati, I Ketut Eddy Purnama:
Deep-Stacked Convolutional Neural Networks for Brain Abnormality Classification Based on MRI Images. 1460-1479 - Qingqing Yan, Fuyan Li, Yi Cui, Yong Wang, Xiao Wang, Wenjing Jia, Xinhui Liu, Yuting Li, Huan Chang, Feng Shi, Yuwei Xia, Qing Zhou, Qingshi Zeng:
Discrimination Between Glioblastoma and Solitary Brain Metastasis Using Conventional MRI and Diffusion-Weighted Imaging Based on a Deep Learning Algorithm. 1480-1488 - Ramachandro Majji, Om Prakash P. G, R. Rajeswari, Rajan Cristin:
Smart IoT in Breast Cancer Detection Using Optimal Deep Learning. 1489-1506 - Kai Wang, Ping Jiang, Dali Kong, Beibei Sun, Ting Shen:
Improving Accuracy of Pneumonia Classification Using Modified DenseNet. 1507-1514 - Tao Peng, Yidong Gu, Ji Zhang, Yan Dong, Gongye Di, Wenjie Wang, Jing Zhao, Jing Cai:
A Robust and Explainable Structure-Based Algorithm for Detecting the Organ Boundary From Ultrasound Multi-Datasets. 1515-1532 - Nishta Letchumanan, Jeannie Hsiu Ding Wong, Li Kuo Tan, Nazimah Ab Mumin, Wei Lin Ng, Wai-Yee Chan, Kartini Rahmat:
A Radiomics Study: Classification of Breast Lesions by Textural Features from Mammography Images. 1533-1540 - Somphone Siviengphanom, Ziba Gandomkar, Sarah J. Lewis, Patrick C. Brennan:
Global Radiomic Features from Mammography for Predicting Difficult-To-Interpret Normal Cases. 1541-1552 - Rong Sun, Chuanling Wei, Zhuoyun Jiang, Gang Huang, Yuanzhong Xie, Shengdong Nie:
Weakly Supervised Breast Lesion Detection in Dynamic Contrast-Enhanced MRI. 1553-1564 - Natália Santana Chiari-Correia, Marcello H. Nogueira-Barbosa, Rodolfo Dias Chiari-Correia, Paulo M. Azevedo-Marques:
A 3D Radiomics-Based Artificial Neural Network Model for Benign Versus Malignant Vertebral Compression Fracture Classification in MRI. 1565-1577 - Motonori Nagata, Yasutaka Ichikawa, Kensuke Domae, Kazuya Yoshikawa, Yoshinori Kanii, Akio Yamazaki, Naoki Nagasawa, Masaki Ishida, Hajime Sakuma:
Application of Deep Learning-Based Denoising Technique for Radiation Dose Reduction in Dynamic Abdominal CT: Comparison with Standard-Dose CT Using Hybrid Iterative Reconstruction Method. 1578-1587 - Behnoush Sanaei, Reza Faghihi, Hossein Arabi:
Employing Multiple Low-Dose PET Images (at Different Dose Levels) as Prior Knowledge to Predict Standard-Dose PET Images. 1588-1596 - Jingping Yuan, Wenkang Zhu, Hui Li, Dandan Yan, Shengnan Shen:
Neural Network Based Classification of Breast Cancer Histopathological Image from Intraoperative Rapid Frozen Sections. 1597-1607 - Dalí F. D. dos Santos, Paulo Rogério de Faria, Bruno A. N. Travençolo, Marcelo Zanchetta do Nascimento:
Influence of Data Augmentation Strategies on the Segmentation of Oral Histological Images Using Fully Convolutional Neural Networks. 1608-1623 - Shanshan Liang, Jing Zhong, Hongwei Zeng, Peixun Zhong, Saiqun Li, Huijun Liu, Jin Yuan:
A Structure-Aware Convolutional Neural Network for Automatic Diagnosis of Fungal Keratitis with In Vivo Confocal Microscopy Images. 1624-1632 - Surender Singh Samant, Arun Chauhan, Jagadish D. N., Vijay Singh:
Glomerulus Detection Using Segmentation Neural Networks. 1633-1642 - Ruchika Gupta, Neeta Kumar, Shivani Bansal, Sompal Singh, Neelam Sood, Sanjay Gupta:
Artificial Intelligence-driven Digital Cytology-based Cervical Cancer Screening: Is the Time Ripe to Adopt This Disruptive Technology in Resource-constrained Settings? A Literature Review. 1643-1652 - Ahsan Baidar Bakht, Sajid Javed, Syed Qasim Gilani, Hamad Karki, Muhammad Muneeb, Naoufel Werghi:
DeepBLS: Deep Feature-Based Broad Learning System for Tissue Phenotyping in Colorectal Cancer WSIs. 1653-1662 - Ouafa Sijilmassi, José-Manuel López Alonso, Aurora Del Río Sevilla, María del Carmen Barrio Asensio:
Multispectral Imaging Method for Rapid Identification and Analysis of Paraffin-Embedded Pathological Tissues. 1663-1674 - Mehmet Erten, Ilknur Tuncer, Prabal Datta Barua, Kubra Yildirim, Sengul Dogan, Turker Tuncer, Ru San Tan, Hamido Fujita, U. Rajendra Acharya:
Automated Urine Cell Image Classification Model Using Chaotic Mixer Deep Feature Extraction. 1675-1686 - Xu Xu, Congsheng Li, Xingjie Lan, Xianjun Fan, Xing Lv, Xin Ye, Tongning Wu:
A Lightweight and Robust Framework for Circulating Genetically Abnormal Cells (CACs) Identification Using 4-Color Fluorescence In Situ Hybridization (FISH) Image and Deep Refined Learning. 1687-1700 - Ahmet Orun, Fatih Kurugollu:
Progressive Observation of Covid-19 Vaccination Effects on Skin-Cellular Structures by Use of Intelligent Laser Speckle Classification (ILSC) Technique. 1701-1711 - Norsang Lama, Jason R. Hagerty, Anand K. Nambisan, Ronald Joe Stanley, William Van Stoecker:
Skin Lesion Segmentation in Dermoscopic Images with Noisy Data. 1712-1722 - Misaj Sharafudeen, S. S. Vinod Chandra:
An Integrated Ensemble Network Model for Skin Abnormality Detection with Combined Textural Features. 1723-1738 - Mohammed Oulhadj, Jamal Riffi, Khodriss Chaimae, Mohamed Adnane Mahraz, Bennis Ahmed, Ali Yahyaouy, Chraibi Fouad, Abdellaoui Meriem, Benatiya Andaloussi Idriss, Hamid Tairi:
Diabetic Retinopathy Prediction Based on Wavelet Decomposition and Modified Capsule Network. 1739-1751 - Xiangjun Wang, Bo Zhang, Zhiwei Li, Mengyao Li, Jia Wang, Guoying Mu:
The Keratectasia Volume (KEV) in Corneal Topography to Evaluate the Effect of Corneal Collagen Cross-linking in Pediatric Keratoconus. 1752-1759 - Keewon Shin, Jung Su Lee, Ji Young Lee, Hyunsu Lee, Jeongseok Kim, Jeong-Sik Byeon, Hwoon-Yong Jung, Do Hoon Kim, Namkug Kim:
An Image Turing Test on Realistic Gastroscopy Images Generated by Using the Progressive Growing of Generative Adversarial Networks. 1760-1769 - Harrison C. Gottlich, Adriana V. Gregory, Vidit Sharma, Abhinav Khanna, Amr U. Moustafa, Christine M. Lohse, Theodora A. Potretzke, Panagiotis Korfiatis, Aaron M. Potretzke, Aleksandar Denic, Andrew D. Rule, Naoki Takahashi, Bradley J. Erickson, Bradley C. Leibovich, Timothy L. Kline:
Effect of Dataset Size and Medical Image Modality on Convolutional Neural Network Model Performance for Automated Segmentation: A CT and MR Renal Tumor Imaging Study. 1770-1781 - Mingming Chen, Yujie Guo, Pengcheng Wang, Qi Chen, Lu Bai, Shaobin Wang, Ya Su, Lizhen Wang, Guanzhong Gong:
An Effective Approach to Improve the Automatic Segmentation and Classification Accuracy of Brain Metastasis by Combining Multi-phase Delay Enhanced MR Images. 1782-1793 - Yang Jiang, Shuang Zhang, Jianning Chi:
Multi-Modal Brain Tumor Data Completion Based on Reconstruction Consistency Loss. 1794-1807 - Zhiyuan Li, Yi Liu, Huazhong Shu, Jing Lu, Jiaqi Kang, Yang Chen, Zhiguo Gui:
Multi-Scale Feature Fusion Network for Low-Dose CT Denoising. 1808-1825 - Francisco Cunha, Valentin Blüml, Lydia M. Zopf, Andreas Walter, Michael Wagner, Wolfgang J. Weninger, Lucas A. Thomaz, Luis M. N. Tavora, Luís Alberto da Silva Cruz, Sérgio M. M. de Faria:
Lossy Image Compression in a Preclinical Multimodal Imaging Study. 1826-1850 - Chao Fan, Zhixiang Chen, Xiao Wang, Zhihui Xuan, Zhentong Zhu:
RTFusion: A Multimodal Fusion Network with Significant Information Enhancement. 1851-1863 - Cláudia S. Constantino, Sónia Leocádio, Francisco P. M. Oliveira, Mariana Silva, Carla Oliveira, Joana Correia Castanheira, Ângelo Silva, Sofia Vaz, Ricardo Teixeira, Manuel Neves, Paulo Lúcio, Cristina João, Durval Campos Costa:
Evaluation of Semiautomatic and Deep Learning-Based Fully Automatic Segmentation Methods on [18F]FDG PET/CT Images from Patients with Lymphoma: Influence on Tumor Characterization. 1864-1876 - John D. Mayfield, Katie Bailey, Andrew A. Borkowski, Narayan Viswanadhan:
Pilot Lightweight Denoising Algorithm for Multiple Sclerosis on Spine MRI. 1877-1884 - Oona Rainio, Chunlei Han, Jarmo Teuho, Sergey V. Nesterov, Vesa Oikonen, Sauli Piirola, Timo Laitinen, Marko Tättäläinen, Juhani Knuuti, Riku Klén:
Carimas: An Extensive Medical Imaging Data Processing Tool for Research. 1885-1893 - Huan Wang, Jianning Chi, Chengdong Wu, Xiaosheng Yu, Hao Wu:
Degradation Adaption Local-to-Global Transformer for Low-Dose CT Image Denoising. 1894-1909 - Xiujuan Liu, Jun Mao, Ning Sun, Xiangrong Yu, Lei Chai, Ye Tian, Jianming Wang, Jianchao Liang, Haiquan Tao, Zhishun Wang, Ligong Lu:
Comparison Between the Stereoscopic Virtual Reality Display System and Conventional Computed Tomography Workstation in the Diagnosis and Characterization of Cerebral Arteriovenous Malformations. 1910-1918 - Bing Cao, Bo Yuan, Guofeng Xu, Yin Zhao, Yanqing Sun, Zhiwei Wang, Shengyuan Zhou, Zheng Xu, Yao Wang, Xiongsheng Chen:
A Pilot Human Cadaveric Study on Accuracy of the Augmented Reality Surgical Navigation System for Thoracolumbar Pedicle Screw Insertion Using a New Intraoperative Rapid Registration Method. 1919-1929 - Julie Urlings, Guido de Jong, Thomas J. J. Maal, Dylan Henssen:
Views on Augmented Reality, Virtual Reality, and 3D Printing in Modern Medicine and Education: A Qualitative Exploration of Expert Opinion. 1930-1939
Volume 36, Number 5, 2023
- Yasuyuki Ueda, Junji Morishita:
Patient Identification Based on Deep Metric Learning for Preventing Human Errors in Follow-up X-Ray Examinations. 1941-1953 - Carson A. Wick, Srini Tridandapani, Marta E. Heilbrun, Tarek Hanna, Nabile M. Safdar, Pamela T. Bhatti:
Lessons Learned in Change Management in Deploying Novel Informatics Solutions: Experience Implementing a Point-of-Care Patient Photography System with Radiography. 1954-1964 - Ji Hyun Youk, Kyunghwa Han, Si Eun Lee, Eun-Kyung Kim:
Consistency of Artificial Intelligence (AI)-based Diagnostic Support Software in Short-term Digital Mammography Reimaging After Core Needle Biopsy. 1965-1973 - Ye Li, Yuanzheng Hou, Li Xiaoyan, Qiongge Li, Jie Lu, Jie Tang:
Quantitative Validation of the Correlation Between Optimized Pyramidal Tract Delineation After Brain Shift Compensation and Direct Electrical Subcortical Stimulation During Brain Tumor Surgery. 1974-1986 - Andrea Nitrosi, Pierpaolo Pattacini, Marco Bertolini, Valeria Trojani, Roberto Sghedoni, L. Spaggiari, M. Zanichelli, G. Besutti, Pietro Notari, L. Canovi, M. Colli, Mauro Iori:
Workload Balancing in Emergency Night Shifts for a Multicenter Diagnostic Imaging Department: a RIS-Integrated Solution. 1987-1994 - Seungsoo Lee, Eun-Kyung Kim, Soo Yoon Chung, Hyun Joo Shin:
Efficient Collaboration Between Radiologists Using the PACS-Integrated Refer Function to Reduce Communication Times. 1995-2002 - Ki Duk Kim, Sunggu Kyung, Miso Jang, Sunghwan Ji, Dong Hee Lee, Hee Mang Yoon, Namkug Kim:
Enhancement of Non-Linear Deep Learning Model by Adjusting Confounding Variables for Bone Age Estimation in Pediatric Hand X-rays. 2003-2014 - Wei Liu, Wei Wang, Hanyi Zhang, Miaoran Guo, Yingxin Xu, Xiaoqi Liu:
Development and Validation of Multi-Omics Thymoma Risk Classification Model Based on Transfer Learning. 2015-2024 - Ke Zhang, Guibo Luo, Wenjuan Li, Yunfei Zhu, Jielin Pan, Ximeng Li, Chaoran Liu, Jianchao Liang, Yingying Zhan, Jing Zheng, Shaolin Li, Wenli Cai, Guobin Hong:
Automatic Image Segmentation and Grading Diagnosis of Sacroiliitis Associated with AS Using a Deep Convolutional Neural Network on CT Images. 2025-2034 - Megan M. Leo, Ilkay Yildiz Potter, Mohsen Zahiri, Ashkan Vaziri, Christine F. Jung, James A. Feldman:
Using Deep Learning to Detect the Presence and Location of Hemoperitoneum on the Focused Assessment with Sonography in Trauma (FAST) Examination in Adults. 2035-2050 - Yaoping Zhao, Shaoqiang Zheng, Nan Cai, Qiang Zhang, Hao Zhong, Yan Zhou, Bo Zhang, Geng Wang:
Utility of Artificial Intelligence for Real-Time Anatomical Landmark Identification in Ultrasound-Guided Thoracic Paravertebral Block. 2051-2059 - Yury Petrov, Bilal Malik, Jill Fredrickson, Skander Jemaa, Richard A. D. Carano:
Deep Ensembles Are Robust to Occasional Catastrophic Failures of Individual DNNs for Organs Segmentations in CT Images. 2060-2074 - Xue Feng, Kanchan Ghimire, Daniel D. Kim, Rajat S. Chandra, Helen Zhang, Jian Peng, Binghong Han, Gaofeng Huang, Quan Chen, Sohil H. Patel, Chetan Bettagowda, Haris I. Sair, Craig K. Jones, Zhicheng Jiao, Li Yang, Harrison X. Bai:
Brain Tumor Segmentation for Multi-Modal MRI with Missing Information. 2075-2087 - Zihang Chen, Jiafei Chen, Jun Zhao, Bowei Liu, Shuanglong Jiang, Dongyue Si, Haiyan Ding, Yongjian Nian, Xiaochao Yang, Jingjing Xiao:
What Matters in Radiological Image Segmentation? Effect of Segmentation Errors on the Diagnostic Related Features. 2088-2099 - Nusrat Binta Nizam, Sadi Mohammad Siddiquee, Mahbuba Shirin, Mohammed Imamul Hassan Bhuiyan, Taufiq Hasan:
COVID-19 Severity Prediction from Chest X-ray Images Using an Anatomy-Aware Deep Learning Model. 2100-2112 - Qiling Tang, Yuhong Lu, Bilian Cai, Yan Wang:
Functional Connectivity Networks with Latent Distributions for Mild Cognitive Impairment Identification. 2113-2124 - Giovanni Spinella, Alice Fantazzini, Alice Finotello, Elena Vincenzi, Gian Antonio Boschetti, Francesca Brutti, Marco Magliocco, Bianca Pane, Curzio Basso, Michele Conti:
Artificial Intelligence Application to Screen Abdominal Aortic Aneurysm Using Computed tomography Angiography. 2125-2137 - Hongbiao Sun, Xiang Wang, Zheren Li, Aie Liu, Shaochun Xu, Qinling Jiang, Qingchu Li, Zhong Xue, Jing Gong, Lei Chen, Yi Xiao, Shiyuan Liu:
Automated Rib Fracture Detection on Chest X-Ray Using Contrastive Learning. 2138-2147 - Sanjeet S. Patil, Manojkumar Ramteke, Mansi Verma, Sandeep Seth, Rohit Bhargava, Shachi Mittal, Anurag S. Rathore:
A Domain-Shift Invariant CNN Framework for Cardiac MRI Segmentation Across Unseen Domains. 2148-2163 - S. Saumiya, S. Wilfred Franklin:
Residual Deformable Split Channel and Spatial U-Net for Automated Liver and Liver Tumour Segmentation. 2164-2178 - Paul M. Murphy:
Visual Image Annotation for Bowel Obstruction: Repeatability and Agreement with Manual Annotation and Neural Networks. 2179-2193 - Cristian Tommasino, Francesco Merolla, Cristiano Russo, Stefania Staibano, Antonio Maria Rinaldi:
Histopathological Image Deep Feature Representation for CBIR in Smart PACS. 2194-2209 - R. Josphineleela, P. B. V. Raja Rao, Amir Shaikh, K. Sudhakar:
A Multi-Stage Faster RCNN-Based iSPLInception for Skin Disease Classification Using Novel Optimization. 2210-2226 - Paravatham V. S. P. Raghavendra, C. Charitha, K. Ghousiya Begum, V. B. Surya Prasath:
Deep Learning-Based Skin Lesion Multi-class Classification with Global Average Pooling Improvement. 2227-2248 - Seyed Moein Diarjani, Safa Motevasseli, Zahra Dalili Kajan:
Virtual Three-Dimensional Model Analysis in the Assessment of the Maxillary and Mandibular Donor Sites on Cone-Beam Computed Tomography Images. 2249-2258 - María Vera, María José Gómez-Silva, Vicente Vera, Clara I. López-González, Ignacio Aliaga, Esther Gascó, Vicente Vera-González, María Pedrera-Canal, Eva Besada-Portas, Gonzalo Pajares:
Artificial Intelligence Techniques for Automatic Detection of Peri-implant Marginal Bone Remodeling in Intraoral Radiographs. 2259-2277 - Hongbiao Sun, Wenwen Wang, Fujin He, Duanrui Wang, Xiaoqing Liu, Shaochun Xu, Baolian Zhao, Qingchu Li, Xiang Wang, Qinling Jiang, Rong Zhang, Shiyuan Liu, Yi Xiao:
An AI-Based Image Quality Control Framework for Knee Radiographs. 2278-2289 - Jinli Yuan, Feng Zhou, Zhitao Guo, Xiaozeng Li, Hengyong Yu:
HCformer: Hybrid CNN-Transformer for LDCT Image Denoising. 2290-2305 - Mana Moassefi, Pouria Rouzrokh, Gian Marco Conte, Sanaz Vahdati, Tianyuan Fu, Aylin Tahmasebi, Mira Younis, Keyvan Farahani, Amilcare Gentili, Timothy Kline, Felipe C. Kitamura, Yuankai Huo, Shiba Kuanar, Khaled Younis, Bradley J. Erickson, Shahriar Faghani:
Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review. 2306-2312 - Yoya Tomita, Yasutaka Ichikawa, Kengo Hashizume, Hajime Sakuma:
Effect of Gaussian Smoothing Filter Size for CT-Based Attenuation Correction on Quantitative Assessment of Bone SPECT/CT: A Phantom Study. 2313-2321 - Francisco Cunha, Valentin Blüml, Lydia M. Zopf, Andreas Walter, Michael Wagner, Wolfgang J. Weninger, Lucas A. Thomaz, Luis M. N. Tavora, Luís Alberto da Silva Cruz, Sérgio M. M. de Faria:
Correction to: Lossy Image Compression in a Preclinical Multimodal Imaging Study. 2322
Volume 36, Number 6, December 2023
- Hamidreza Ghaderi, Alain April:
Assessing Available Open-Source PACS Options. 2323-2328 - Umber Shafique, Umar Shafique Chaudhry, Alexander J. Towbin:
Are the Pilots Onboard? Equipping Radiologists for Clinical Implementation of AI. 2329-2334 - Tony Felefly, Camille Roukoz, Georges Fares, Samir Achkar, Sandrine Yazbeck, Philippe Meyer, Manal Kordahi, Fares Azoury, Dolly Nehme Nasr, Elie Nasr, Georges Noël, Ziad Francis:
An Explainable MRI-Radiomic Quantum Neural Network to Differentiate Between Large Brain Metastases and High-Grade Glioma Using Quantum Annealing for Feature Selection. 2335-2346 - Bingqian Chu, Lu Gan, Yi Shen, Jian Song, Ling Liu, Jianying Li, Bin Liu:
A Deep Learning Image Reconstruction Algorithm for Improving Image Quality and Hepatic Lesion Detectability in Abdominal Dual-Energy Computed Tomography: Preliminary Results. 2347-2355 - Tian Xia, Xiaohang Fu, Michael J. Fulham, Yue Wang, David Feng, Jinman Kim:
CT-based Radiogenomics Framework for COVID-19 Using ACE2 Imaging Representations. 2356-2366 - Maisun Mohamed Al Zorgani, Hassan Ugail, Klaus Pors, Abdullahi Magaji Dauda:
Deep Transfer Learning-Based Approach for Glucose Transporter-1 (GLUT1) Expression Assessment. 2367-2381 - Asser M. Abou Elkassem, Rafah Mresh, Ahmed Farag, Steven Rothenberg, Seth T. Lirette, Andrew D. Smith, Tejaswini Kulkarni:
Pulmonary Surface Irregularity Score as a New Quantitative CT Marker for Idiopathic Pulmonary Fibrosis - a Pilot Study. 2382-2391 - Lev Barinov, Ajit Jairaj, William D. Middleton, Michael D., Beland, Jonathan Kirsch, Ross W. Filice, Jordi L. Reverter, Iñaki Arguelles, Edward G. Grant:
Improving the Efficacy of ACR TI-RADS Through Deep Learning-Based Descriptor Augmentation. 2392-2401 - Jikai Zhang, Carlos Santos, Christine Park, Maciej A. Mazurowski, Roy J. Colglazier:
Improving Image Classification of Knee Radiographs: An Automated Image Labeling Approach. 2402-2410 - Getao Du, Peng Zhang, Jianzhong Guo, Xiangsheng Pang, Guanghan Kan, Bin Zeng, Xiaoping Chen, Jimin Liang, Yonghua Zhan:
MF-Net: Automated Muscle Fiber Segmentation From Immunofluorescence Images Using a Local-Global Feature Fusion Network. 2411-2426 - Weikang Liu, Zhigang Li, Chunyang Li, Hongyan Gao:
ECTransNet: An Automatic Polyp Segmentation Network Based on Multi-scale Edge Complementary. 2427-2440 - Ela Kaplan, Wai-Yee Chan, Hasan Baki Altinsoy, Mehmet Baygin, Prabal Datta Barua, Subrata Chakraborty, Sengul Dogan, Turker Tuncer, U. Rajendra Acharya:
PFP-HOG: Pyramid and Fixed-Size Patch-Based HOG Technique for Automated Brain Abnormality Classification with MRI. 2441-2460 - R. Rajeswari, G. V. Sriramakrishnan, Ch. Vidyadhari, K. V. Kanimozhi:
ExpHBA Deep-IoT: Exponential Honey Badger Optimized Deep Learning For Breast Cancer Detection in IoT Healthcare System. 2461-2479 - R. Vinothini, G. Niranjana, Fitri Yakub:
A Novel Classification Model Using Optimal Long Short-Term Memory for Classification of COVID-19 from CT Images. 2480-2493 - Haniyeh Taleie, Ghasem Hajianfar, Maziar Sabouri, Mozhgan Parsaee, Golnaz Houshmand, Ahmad Bitarafan-rajabi, Habib Zaidi, Isaac Shiri:
Left Ventricular Myocardial Dysfunction Evaluation in Thalassemia Patients Using Echocardiographic Radiomic Features and Machine Learning Algorithms. 2494-2506 - Sema Candemir, Robert Moranville, Kelvin A. Wong, Warren Campbell, Matthew T. Bigelow, Luciano M. Prevedello, Mina S. Makary:
Detecting and Characterizing Inferior Vena Cava Filters on Abdominal Computed Tomography with Data-Driven Computational Frameworks. 2507-2518 - Ashish Kumar Jha, Umeshkumar B. Sherkhane, Sneha Mithun, Vinay Jaiswar, Nilendu Purandare, Kumar Prabhash, Leonard Wee, Venkatesh Rangarajan, Andre Dekker:
External Validation of Robust Radiomic Signature to Predict 2-Year Overall Survival in Non-Small-Cell Lung Cancer. 2519-2531 - Xue Chen, Yanjun Peng, Dapeng Li, Jindong Sun:
DMCA-GAN: Dual Multilevel Constrained Attention GAN for MRI-Based Hippocampus Segmentation. 2532-2553 - Hong-Xian Gu, Xiao-Shan Huang, Jian-Xia Xu, Ping Zhu, Jian-Feng Xu, Shu-Feng Fan:
Diagnostic Value of MRI Features in Dual-phenotype Hepatocellular Carcinoma: A Preliminary Study. 2554-2566 - Filippo Bargagna, Lisa Anita De Santi, Nicola Martini, Dario Genovesi, Brunella Favilli, Giuseppe Vergaro, Michele Emdin, Assuero Giorgetti, Vincenzo Positano, Maria Filomena Santarelli:
Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios. 2567-2577 - Shiqi Zhu, Jingwen Gao, Lu Liu, Minyue Yin, Jiaxi Lin, Chang Xu, Chunfang Xu, Jinzhou Zhu:
Public Imaging Datasets of Gastrointestinal Endoscopy for Artificial Intelligence: a Review. 2578-2601 - Bahareh Morovati, Reza Lashgari, Mojtaba Hajihasani, Hasti Shabani:
Reduced Deep Convolutional Activation Features (R-DeCAF) in Histopathology Images to Improve the Classification Performance for Breast Cancer Diagnosis. 2602-2612 - Steven Nichols, Bruno Laffin, Charles Parisot:
Initial Experience of 10 Imaging Vendors with the IHE SHARAZONE: a New Multivendor Peer-to-Peer Test Service for DICOM Objects. 2613-2622 - Kohei Ohashi, Yukihiro Nagatani, Makoto Yoshigoe, Kyohei Iwai, Keiko Tsuchiya, Atsunobu Hino, Yukako Kida, Asumi Yamazaki, Takayuki Ishida:
Applicability Evaluation of Full-Reference Image Quality Assessment Methods for Computed Tomography Images. 2623-2634 - Wannakamon Panyarak, Kittichai Wantanajittikul, Arnon Charuakkra, Sangsom Prapayasatok, Wattanapong Suttapak:
Enhancing Caries Detection in Bitewing Radiographs Using YOLOv7. 2635-2647 - Stephan P. L. Meesters, Maud Landers, Geert-Jan Rutten, Luc Florack:
Subject-Specific Automatic Reconstruction of White Matter Tracts. 2648-2661 - Kaitlin M. Zaki-Metias, Jeffrey J. MacLean, Alexander M. Satei, Serguei Medvedev, Huijuan Wang, Christopher C. Zarour, Paul J. Arpasi:
Correction to: The FIND Program: Improving Follow-up of Incidental Imaging Findings. 2662-2663
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