Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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 C.:
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 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 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, C. Singhal, Q. Zhou, Katherine P. Andriole, William F. Auffermann, Prasanth Prasanna, T. 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, Dong-Kyoon 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 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