Ausgabe 1/2021
Inhalt (19 Artikel)
The Importance of Body Part Labeling to Enable Enterprise Imaging: A HIMSS-SIIM Enterprise Imaging Community Collaborative White Paper
Alexander J. Towbin, Christopher J. Roth, Cheryl A. Petersilge, Kimberley Garriott, Kenneth A. Buckwalter, David A. Clunie
Color Rendering in Medical Extended-Reality Applications
Andrea Seung Kim, Wei-Chung Cheng, Ryan Beams, Aldo Badano
DeepCAT: Deep Computer-Aided Triage of Screening Mammography
Paul H. Yi, Dhananjay Singh, Susan C. Harvey, Gregory D. Hager, Lisa A. Mullen
A Novel Fusion-Based Texture Descriptor to Improve the Detection of Architectural Distortion in Digital Mammography
Osmando Pereira Junior, Helder Cesar Rodrigues Oliveira, Carolina Toledo Ferraz, José Hiroki Saito, Marcelo Andrade da Costa Vieira, Adilson Gonzaga
An Automated Deep Learning Method for Tile AO/OTA Pelvic Fracture Severity Grading from Trauma whole-Body CT
David Dreizin, Florian Goldmann, Christina LeBedis, Alexis Boscak, Matthew Dattwyler, Uttam Bodanapally, Guang Li, Stephan Anderson, Andreas Maier, Mathias Unberath
Generalized Radiographic View Identification with Deep Learning
Xiang Fang, Leah Harris, Wei Zhou, Donglai Huo
Identifying Areas for Operational Improvement and Growth in IR Workflow Using Workflow Modeling, Simulation, and Optimization Techniques
Ranjith Tellis, Olga Starobinets, Michael Prokle, Usha Nandini Raghavan, Christopher Hall, Tammana Chugh, Ekin Koker, Siva Chaitanya Chaduvula, Christoph Wald, Sebastian Flacke
End-To-End Computerized Diagnosis of Spondylolisthesis Using Only Lumbar X-rays
Fatih Varçın, Hasan Erbay, Eyüp Çetin, İhsan Çetin, Turgut Kültür
Quantification of Joint Space Width Difference on Radiography Via Phase-Only Correlation (POC) Analysis: a Phantom Study Comparing with Various Tomographical Modalities Using Conventional Margin-Contouring
Aimi Taguchi, Shun Shishido, Yafei Ou, Masayuki Ikebe, Tianyu Zeng, Wanxuan Fang, Koichi Murakami, Toshikazu Ueda, Nobutoshi Yasojima, Keitaro Sato, Kenichi Tamura, Kenneth Sutherland, Nozomi Oki, Ko Chiba, Kazuyuki Minowa, Masataka Uetani, Tamotsu Kamishima
Proactive Construction of an Annotated Imaging Database for Artificial Intelligence Training
Caroline Bivik Stadler, Martin Lindvall, Claes Lundström, Anna Bodén, Karin Lindman, Jeronimo Rose, Darren Treanor, Johan Blomma, Karin Stacke, Nicolas Pinchaud, Martin Hedlund, Filip Landgren, Mischa Woisetschläger, Daniel Forsberg
Computer-Aided Diagnosis Scheme for Distinguishing Between Benign and Malignant Masses on Breast DCE-MRI Images Using Deep Convolutional Neural Network with Bayesian Optimization
Akiyoshi Hizukuri, Ryohei Nakayama, Mayumi Nara, Megumi Suzuki, Kiyoshi Namba
Building Large-Scale Quantitative Imaging Databases with Multi-Scale Deep Reinforcement Learning: Initial Experience with Whole-Body Organ Volumetric Analyses
David J. Winkel, Hanns-Christian Breit, Thomas J. Weikert, Bram Stieltjes
Fetal Ultrasound Image Segmentation for Automatic Head Circumference Biometry Using Deeply Supervised Attention-Gated V-Net
Yan Zeng, Po-Hsiang Tsui, Weiwei Wu, Zhuhuang Zhou, Shuicai Wu
Generation of Brain Dual-Energy CT from Single-Energy CT Using Deep Learning
Chi-Kuang Liu, Chih-Chieh Liu, Cheng-Hsun Yang, Hsuan-Ming Huang
Melanoma Detection Using Spatial and Spectral Analysis on Superpixel Graphs
Mahmoud H. Annaby, Asmaa M. Elwer, Muhammad A. Rushdi, Mohamed E. M. Rasmy
Hardware Failure Prediction on Imbalanced Times Series Data
Nadine Rücker, Lea Pflüger, Andreas Maier
Spatiotemporal Free-Form Registration Method Assisted by a Minimum Spanning Tree During Discontinuous Transformations
Jang Pyo Bae, Siyeop Yoon, Malinda Vania, Deukhee Lee
Zero Watermarking: Critical Analysis of Its Role in Current Medical Imaging
Aleš Roček, Michal Javorník, Karel Slavíček, Otto Dostál
The Time Has Come: a Paradigm Shift in Diagnostic Radiology Education via Simulation Training
Liqi Shu, Faraien Bahri, Navid Mostaghni, Gang Yu, Ramin Javan