Journal: J. Digital Imaging

Volume 33, Issue 4

815 -- 0J. Raymond Geis. Implementing Digital Imaging in the Developing World
816 -- 825KyeongTaek Oh, Sangwon Lee, Haeun Lee, Mijin Yun, Sun K. Yoo. Semantic Segmentation of White Matter in FDG-PET Using Generative Adversarial Network
826 -- 837Zhiwei Zhang, Jingjing Xiao, Shandong Wu, Fajin Lv, Junwei Gong, Lin Jiang, Renqiang Yu, Tianyou Luo. Deep Convolutional Radiomic Features on Diffusion Tensor Images for Classification of Glioma Grades
838 -- 845Seokmin Han, Sung Il Hwang, Hak Jong Lee. A Weak and Semi-supervised Segmentation Method for Prostate Cancer in TRUS Images
846 -- 857Wangxia Zuo, Fuqiang Zhou, YuZhu He. An Embedded Multi-branch 3D Convolution Neural Network for False Positive Reduction in Lung Nodule Detection
858 -- 868Felipe André Zeiser, Cristiano André da Costa, Tiago Zonta, Nuno M. C. Marques, Adriana Vial Roehe, Marcelo Moreno, Rodrigo Da Rosa Righi. Segmentation of Masses on Mammograms Using Data Augmentation and Deep Learning
869 -- 878JuMin Zhao, Chen Zhang, Dengao Li, Jing Niu. Combining multi-scale feature fusion with multi-attribute grading, a CNN model for benign and malignant classification of pulmonary nodules
879 -- 887Arnaldo Stanzione, Carlo Ricciardi, Renato Cuocolo, Valeria Romeo, Jessica Petrone, Michela Sarnataro, Pier Paolo Mainenti, Giovanni Improta, Filippo De Rosa, Luigi Insabato, Arturo Brunetti, Simone Maurea. MRI Radiomics for the Prediction of Fuhrman Grade in Clear Cell Renal Cell Carcinoma: a Machine Learning Exploratory Study
888 -- 894Skander Jemaa, Jill Fredrickson, Richard A. D. Carano, Tina Nielsen, Alex de Crespigny, Thomas Bengtsson. Tumor Segmentation and Feature Extraction from Whole-Body FDG-PET/CT Using Cascaded 2D and 3D Convolutional Neural Networks
895 -- 902Dipanjan Moitra, Rakesh Kumar Mandal. Prediction of Non-small Cell Lung Cancer Histology by a Deep Ensemble of Convolutional and Bidirectional Recurrent Neural Network
903 -- 915Hiba Mzoughi, Ines Njeh, Ali Wali, Mohamed Ben Slima, Ahmed BenHamida, Chokri Mhiri, Kharedine Ben Mahfoudhe. Deep Multi-Scale 3D Convolutional Neural Network (CNN) for MRI Gliomas Brain Tumor Classification
916 -- 929Emre Ölmez, Volkan Akdogan, Murat Korkmaz, Orhan Er. Automatic Segmentation of Meniscus in Multispectral MRI Using Regions with Convolutional Neural Network (R-CNN)
930 -- 936Joseph N. Stember, K. L. Terilli, E. Perez, M. Megjhani, C. A. Cooper, S. Jambawalikar, S. Park. Surface Point Cloud Ultrasound with Transcranial Doppler: Coregistration of Surface Point Cloud Ultrasound with Magnetic Resonance Angiography for Improved Reproducibility, Visualization, and Navigation in Transcranial Doppler Ultrasound
937 -- 945Ahmad Maaref, Francisco Perdigón Romero, Emmanuel Montagnon, Milena Cerny, Bich Nguyen, Franck Vandenbroucke-Menu, Geneviève Soucy, Simon Turcotte, An Tang, Samuel Kadoury. Predicting the Response to FOLFOX-Based Chemotherapy Regimen from Untreated Liver Metastases on Baseline CT: a Deep Neural Network Approach
946 -- 957Tiejun Yang, Tingting Wu, Lei Li, Chunhua Zhu. SUD-GAN: Deep Convolution Generative Adversarial Network Combined with Short Connection and Dense Block for Retinal Vessel Segmentation
958 -- 970Saban Öztürk, Umut Özkaya. Skin Lesion Segmentation with Improved Convolutional Neural Network
971 -- 987Muhammad Kashif, Gulistan Raja, Furqan Shaukat. An Efficient Content-Based Image Retrieval System for the Diagnosis of Lung Diseases
988 -- 995Thusitha De Silva Mabotuwana, Christopher S. Hall, Nathan Cross. Framework for Extracting Critical Findings in Radiology Reports
996 -- 1001Ameena Elahi, Farouk Dako, Jonathan Zember, Bunmi Ojetayo, Dale A. Gerus, Alan Schweitzer, Daniel J. Mollura, Omer Awan. Overcoming Challenges for Successful PACS Installation in Low-Resource Regions: Our Experience in Nigeria
1002 -- 1008J. Martijn Nobel, Sander Puts, Frans C. H. Bakers, Simon G. F. Robben, André L. A. J. Dekker. Natural Language Processing in Dutch Free Text Radiology Reports: Challenges in a Small Language Area Staging Pulmonary Oncology
1009 -- 1015S. E. Ziegler. Rapid Design and Development of a Network Isolated DICOM Service Class Provider Device
1016 -- 1025Mathias Kaspar, Leon Liman, Maximilian Ertl, Georg Fette, Lea Katharina Seidlmayer, Laura Schreiber, Frank Puppe, Stefan Störk. Unlocking the PACS DICOM Domain for its Use in Clinical Research Data Warehouses
1026 -- 1033Florian Jungmann, G. Arnhold, B. Kämpgen, T. Jorg, C. Düber, P. Mildenberger, R. Kloeckner. A Hybrid Reporting Platform for Extended RadLex Coding Combining Structured Reporting Templates and Natural Language Processing
1034 -- 1040Neeta Kumar, Ruchika Gupta, Sanjay Gupta. Whole Slide Imaging (WSI) in Pathology: Current Perspectives and Future Directions
1041 -- 1046Jae Ho Sohn, Yeshwant Reddy Chillakuru, Stanley Lee, Amie Y. Lee, Tatiana Kelil, Christopher Paul Hess, Youngho Seo, Thienkhai Vu, Bonnie N. Joe. An Open-Source, Vender Agnostic Hardware and Software Pipeline for Integration of Artificial Intelligence in Radiology Workflow
1047 -- 1052Hilda H. Tso, Jay R. Parikh. Using Facebook Live to Advocate Breast Cancer Screening
1053 -- 1057Lilly Kauffman, Edmund M. Weisberg, John Eng, Elliot K. Fishman. Is a Picture Really Worth More than a Thousand Words? Which Instagram Post Types Elicit the Best Response for Radiology Education
1058 -- 1064Lilly Kauffman, Sara Raminpour, Edmund M. Weisberg, Elliot K. Fishman. So You Want to Develop an App for Radiology Education? What You Need to Know to Be Successful