Ausgabe 5/2019
Inhalt (26 Artikel)
Comprehensive Word-Level Classification of Screening Mammography Reports Using a Neural Network Sequence Labeling Approach
Ryan G. Short, John Bralich, Dave Bogaty, Nicholas T. Befera
Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset
Richard Ha, Christine Chin, Jenika Karcich, Michael Z. Liu, Peter Chang, Simukayi Mutasa, Eduardo Pascual Van Sant, Ralph T. Wynn, Eileen Connolly, Sachin Jambawalikar
Computer-Assisted Nuclear Atypia Scoring of Breast Cancer: a Preliminary Study
Ziba Gandomkar, Patrick C. Brennan, Claudia Mello-Thoms
Multiview Contouring for Breast Tumor on Magnetic Resonance Imaging
Dar-Ren Chen, Yao-Wen Chang, Hwa-Koon Wu, Wei-Chung Shia, Yu-Len Huang
A Screening CAD Tool for the Detection of Microcalcification Clusters in Mammograms
Vikrant A. Karale, Joshua P. Ebenezer, Jayasree Chakraborty, Tulika Singh, Anup Sadhu, Niranjan Khandelwal, Sudipta Mukhopadhyay
Can a Machine Learn from Radiologists’ Visual Search Behaviour and Their Interpretation of Mammograms—a Deep-Learning Study
Suneeta Mall, Patrick C. Brennan, Claudia Mello-Thoms
Transcending Dimensions: a Comparative Analysis of Cloaca Imaging in Advancing the Surgeon’s Understanding of Complex Anatomy
Alessandra C. Gasior, Carlos Reck, Victoria Lane, Richard J. Wood, Jeremy Patterson, Robert Strouse, Simon Lin, Jennifer Cooper, D. Gregory Bates, Marc A. Levitt
Toward Automatic Detection of Radiation-Induced Cerebral Microbleeds Using a 3D Deep Residual Network
Yicheng Chen, Javier E. Villanueva-Meyer, Melanie A. Morrison, Janine M. Lupo
Full-Dose PET Image Estimation from Low-Dose PET Image Using Deep Learning: a Pilot Study
Sydney Kaplan, Yang-Ming Zhu
Hybrid Airway Segmentation Using Multi-Scale Tubular Structure Filters and Texture Analysis on 3D Chest CT Scans
Minho Lee, June-Goo Lee, Namkug Kim, Joon Beom Seo, Sang Min Lee
A Deep Learning-Based Approach for the Detection and Localization of Prostate Cancer in T2 Magnetic Resonance Images
Ruba Alkadi, Fatma Taher, Ayman El-baz, Naoufel Werghi
Convolutional Neural Networks for the Detection and Measurement of Cerebral Aneurysms on Magnetic Resonance Angiography
Joseph N. Stember, Peter Chang, Danielle M. Stember, Michael Liu, Jack Grinband, Christopher G. Filippi, Philip Meyers, Sachin Jambawalikar
CT-Based 3D Printing of the Glenoid Prior to Shoulder Arthroplasty: Bony Morphology and Model Evaluation
Kenneth C. Wang, Anja Jones, Shivkumar Kambhampati, Mohit N. Gilotra, Peter C. Liacouras, Satre Stuelke, Brian Shiu, Natalie Leong, S. Ashfaq Hasan, Eliot L. Siegel
Exporting Diabetic Retinopathy Images from VA VistA Imaging for Research
Peter Kuzmak, Charles Demosthenes, April Maa
Remote Real-Time Ultrasound Supervision via Commercially Available and Low-Cost Tele-Ultrasound: a Mixed Methods Study of the Practical Feasibility and Users’ Acceptability in an Emergency Department
Stig Holm Jensen, Iben Duvald, Rasmus Aagaard, Stine Catharina Primdahl, Poul Petersen, Hans Kirkegaard, Jesper Weile
Centralized Clinical Trial Imaging Data Management: Practical Guidance from a Comprehensive Cancer Center’s Experience
Brandon Lee, A. Abbott, S. Davidson, L. Syrkin, G. LeFever, A. D. Van den Abbeele
Image Annotation by Eye Tracking: Accuracy and Precision of Centerlines of Obstructed Small-Bowel Segments Placed Using Eye Trackers
Alfredo Lucas, Kang Wang, Cynthia Santillan, Albert Hsiao, Claude B. Sirlin, Paul M. Murphy
Developing Deeper Radiology Exam Insight to Optimize MRI Workflow and Patient Experience
Ish A. Talati, Pranay Krishnan, Ross W. Filice
ETL Framework for Real-Time Business Intelligence over Medical Imaging Repositories
Tiago Marques Godinho, Rui Lebre, João Rafael Almeida, Carlos Costa
Implementing Shared, Standardized Imaging Protocols to Improve Cross-Enterprise Workflow and Quality
Viswanathan Venkataraman, Travis Browning, Ivan Pedrosa, Suhny Abbara, David Fetzer, Seth Toomay, Ronald M. Peshock
Generalizable Inter-Institutional Classification of Abnormal Chest Radiographs Using Efficient Convolutional Neural Networks
Ian Pan, Saurabh Agarwal, Derek Merck
Correction to: Collaborative and Reproducible Research: Goals, Challenges, and Strategies
Steve G. Langer, George Shih, Paul Nagy, Bennet A. Landman
Correction to: Toward Automatic Detection of Radiation-Induced Cerebral Microbleeds Using a 3D Deep Residual Network
Yicheng Chen, Javier E. Villanueva-Meyer, Melanie A. Morrison, Janine M. Lupo