Ausgabe 6/2022
Inhalt (30 Artikel)
Application of a Modified Combinational Approach to Brain Tumor Detection in MR Images
Rahman Farnoosh, Hamidreza Noushkaran
Deep CTS: a Deep Neural Network for Identification MRI of Carpal Tunnel Syndrome
Haiying Zhou, Qi Bai, Xianliang Hu, Ahmad Alhaskawi, Yanzhao Dong, Zewei Wang, Binjie Qi, Jianyong Fang, Vishnu Goutham Kota, Mohamed Hasan Abdulla Hasa Abdulla, Sohaib Hasan Abdullah Ezzi, Hui Lu
Analyzing Transfer Learning of Vision Transformers for Interpreting Chest Radiography
Mohammad Usman, Tehseen Zia, Ali Tariq
FWLICM-Deep Learning: Fuzzy Weighted Local Information C-Means Clustering-Based Lung Lobe Segmentation with Deep Learning for COVID-19 Detection
R. Rajeswari, Veerraju Gampala, Balajee Maram, R. Cristin
Automatic Liver Segmentation Using EfficientNet and Attention-Based Residual U-Net in CT
Jinke Wang, Xiangyang Zhang, Peiqing Lv, Haiying Wang, Yuanzhi Cheng
Artificial Intelligence System for Automatic Quantitative Analysis and Radiology Reporting of Leg Length Radiographs
Nathan Larson, Chantal Nguyen, Bao Do, Aryan Kaul, Anna Larson, Shannon Wang, Erin Wang, Eric Bultman, Kate Stevens, Jason Pai, Audrey Ha, Robert Boutin, Michael Fredericson, Long Do, Charles Fang
Comparison of Transfer Learning Models in Pelvic Tilt and Rotation Measurement in Pediatric Anteroposterior Pelvic Radiographs
Chao Li, Yabo Yan, Huifa Xu, Hui Cao, Jie Zhang, Jia Sha, Zongzhi Fan, Luyu Huang
Developing and Validating Multi-Modal Models for Mortality Prediction in COVID-19 Patients: a Multi-center Retrospective Study
Joy Tzung-yu Wu, Miguel Ángel Armengol de la Hoz, Po-Chih Kuo, Joseph Alexander Paguio, Jasper Seth Yao, Edward Christopher Dee, Wesley Yeung, Jerry Jurado, Achintya Moulick, Carmelo Milazzo, Paloma Peinado, Paula Villares, Antonio Cubillo, José Felipe Varona, Hyung-Chul Lee, Alberto Estirado, José Maria Castellano, Leo Anthony Celi
Surgical Navigation System for Hypertensive Intracerebral Hemorrhage Based on Mixed Reality
Zeyang Zhou, Zhiyong Yang, Shan Jiang, Jie Zhuo, Tao Zhu, Shixing Ma
Classification of Mammographic ROI for Microcalcification Detection Using Multifractal Approach
Nadia Kermouni Serradj, Mahammed Messadi, Sihem Lazzouni
A New Collaborative Classification Process for Microcalcification Detection Based on Graphs and Knowledge Propagation
Asma Touil, Karim Kalti, Pierre-Henri Conze, Basel Solaiman, Mohamed Ali Mahjoub
Integrating the BIDS Neuroimaging Data Format and Workflow Optimization for Large-Scale Medical Image Analysis
Shunxing Bao, Brian D. Boyd, Praitayini Kanakaraj, Karthik Ramadass, Francisco A. C. Meyer, Yuqian Liu, William E. Duett, Yuankai Huo, Ilwoo Lyu, David H. Zald, Seth A. Smith, Baxter P. Rogers, Bennett A. Landman
Attachment Type, Thickness, and Volume of the Posterior Meniscofemoral Ligament and Meniscal Pathology
Myung Sub Kim, Hee Jin Park, Su Ji Kim, Ji Na Kim
Teaching the Virtual Brain
Javier Hernández-Aceituno, Rafael Arnay, Guadalberto Hernández, Laura Ezama, Niels Janssen
Organs in Color: Utilizing Free Software and Emerging Multi Jet Fusion Technology to Color and Surface Label 3D-Printed Anatomical Models
Muhammad Rehman, Lauren Arsenault, Ramin Javan
AnatomySketch: An Extensible Open-Source Software Platform for Medical Image Analysis Algorithm Development
Mingrui Zhuang, Zhonghua Chen, Hongkai Wang, Hong Tang, Jiang He, Bobo Qin, Yuxin Yang, Xiaoxian Jin, Mengzhu Yu, Baitao Jin, Taijing Li, Lauri Kettunen
An Efficient Optimization Approach for Glioma Tumor Segmentation in Brain MRI
Zeynab Barzegar, Mansour Jamzad
Size-Specific Dose Estimates for Thoracic and Abdominal Computed Tomography Examinations at Two Moroccan Hospitals
M’hamed El Mansouri, Abdelmajid Choukri, Slimane Semghouli, Mohammed Talbi, Khalida Eddaoui, Zouhir Saga
Unmasking Myocardial Dysfunction in Patients Hospitalized for Community-Acquired Pneumonia Using a 4-Chamber 3-Dimensional Volume/Strain Analysis
Moayad Khatib, Gabby Elbaz-Greener, Orna Nitzan, Soboh Soboh, Avi Peretz, Evgeni Hazanov, Wadia Kinany, Yusra Halahla, Liza Grosman-Rimon, Helene Houle, Offer Amir, Shemy Carasso
Deep Learning Achieves Neuroradiologist-Level Performance in Detecting Hydrocephalus Requiring Treatment
Yu Huang, Raquel Moreno, Rachna Malani, Alicia Meng, Nathaniel Swinburne, Andrei I. Holodny, Ye Choi, Henry Rusinek, James B. Golomb, Ajax George, Lucas C. Parra, Robert J. Young
Neural Network Detection of Pacemakers for MRI Safety
Mark Daniel Vernon Thurston, Daniel H Kim, Huub K Wit
Recognition and Segmentation of Individual Bone Fragments with a Deep Learning Approach in CT Scans of Complex Intertrochanteric Fractures: A Retrospective Study
Lv Yang, Shan Gao, Pengfei Li, Jiancheng Shi, Fang Zhou
Prospective Evaluation of a Machine-Learning Prediction Model for Missed Radiology Appointments
Steven Rothenberg, Bill Bame, Ed Herskovitz
Ensemble Approaches to Recognize Protected Health Information in Radiology Reports
Hannah Horng, Jackson Steinkamp, Charles E. Kahn Jr., Tessa S. Cook
Application of Artificial Intelligence Computer-Assisted Diagnosis Originally Developed for Thyroid Nodules to Breast Lesions on Ultrasound
Si Eun Lee, Eunjung Lee, Eun-Kyung Kim, Jung Hyun Yoon, Vivian Youngjean Park, Ji Hyun Youk, Jin Young Kwak
Myocardial Function Prediction After Coronary Artery Bypass Grafting Using MRI Radiomic Features and Machine Learning Algorithms
Fatemeh Arian, Mehdi Amini, Shayan Mostafaei, Kiara Rezaei Kalantari, Atlas Haddadi Avval, Zahra Shahbazi, Kianosh Kasani, Ahmad Bitarafan Rajabi, Saikat Chatterjee, Mehrdad Oveisi, Isaac Shiri, Habib Zaidi
Highdicom: a Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and Radiology
Christopher P. Bridge, Chris Gorman, Steven Pieper, Sean W. Doyle, Jochen K. Lennerz, Jayashree Kalpathy-Cramer, David A. Clunie, Andriy Y. Fedorov, Markus D. Herrmann
Iodine Images in Dual-energy CT: Detection of Hepatic Steatosis by Quantitative Iodine Concentration Values
Stefanie Beck, Laurenz Jahn, Dominik Deniffel, Isabelle Riederer, Andreas Sauter, Marcus R. Makowski, Daniela Pfeiffer
RAD-UNet: a Residual, Attention-Based, Dense UNet for CT Sparse Reconstruction
Zhiwei Qiao, Congcong Du
HEARTBEAT4D: An Open-source Toolbox for Turning 4D Cardiac CT into VR/AR
M. Bindschadler, S. Buddhe, M. R. Ferguson, T. Jones, S. D. Friedman, R. K. Otto