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Journal of Imaging Informatics in Medicine

Ausgabe 4/2020

Inhalt (28 Artikel)

Original Paper

Semantic Segmentation of White Matter in FDG-PET Using Generative Adversarial Network

Kyeong Taek Oh, Sangwon Lee, Haeun Lee, Mijin Yun, Sun K. Yoo

Original Paper

Deep Convolutional Radiomic Features on Diffusion Tensor Images for Classification of Glioma Grades

Zhiwei Zhang, Jingjing Xiao, Shandong Wu, Fajin Lv, Junwei Gong, Lin Jiang, Renqiang Yu, Tianyou Luo

Original Paper

A Weak and Semi-supervised Segmentation Method for Prostate Cancer in TRUS Images

Seokmin Han, Sung Il Hwang, Hak Jong Lee

Original Paper

Segmentation of Masses on Mammograms Using Data Augmentation and Deep Learning

Felipe André Zeiser, Cristiano André da Costa, Tiago Zonta, Nuno M. C. Marques, Adriana Vial Roehe, Marcelo Moreno, Rodrigo da Rosa Righi

Original Paper

MRI Radiomics for the Prediction of Fuhrman Grade in Clear Cell Renal Cell Carcinoma: a Machine Learning Exploratory Study

Arnaldo 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

Open Access Original Paper

Tumor Segmentation and Feature Extraction from Whole-Body FDG-PET/CT Using Cascaded 2D and 3D Convolutional Neural Networks

Skander Jemaa, Jill Fredrickson, Richard A. D. Carano, Tina Nielsen, Alex de Crespigny, Thomas Bengtsson

Deep Multi-Scale 3D Convolutional Neural Network (CNN) for MRI Gliomas Brain Tumor Classification

Hiba Mzoughi, Ines Njeh, Ali Wali, Mohamed Ben Slima, Ahmed BenHamida, Chokri Mhiri, Kharedine Ben Mahfoudhe

Original Paper

Predicting the Response to FOLFOX-Based Chemotherapy Regimen from Untreated Liver Metastases on Baseline CT: a Deep Neural Network Approach

Ahmad Maaref, Francisco Perdigon Romero, Emmanuel Montagnon, Milena Cerny, Bich Nguyen, Franck Vandenbroucke, Geneviève Soucy, Simon Turcotte, An Tang, Samuel Kadoury

Original Paper

Skin Lesion Segmentation with Improved Convolutional Neural Network

Şaban Öztürk, Umut Özkaya

Original Paper

An Efficient Content-Based Image Retrieval System for the Diagnosis of Lung Diseases

Muhammad Kashif, Gulistan Raja, Furqan Shaukat

Original Paper

Framework for Extracting Critical Findings in Radiology Reports

Thusitha Mabotuwana, Christopher S. Hall, Nathan Cross

Original Paper

Overcoming Challenges for Successful PACS Installation in Low-Resource Regions: Our Experience in Nigeria

Ameena Elahi, Farouk Dako, Jonathan Zember, Bunmi Ojetayo, Dale A. Gerus, Alan Schweitzer, Daniel J. Mollura, Omer Awan

Original Paper

Natural Language Processing in Dutch Free Text Radiology Reports: Challenges in a Small Language Area Staging Pulmonary Oncology

J. Martijn Nobel, Sander Puts, Frans C. H. Bakers, Simon G. F. Robben, André L. A. J. Dekker

Open Access Original Paper

Unlocking the PACS DICOM Domain for its Use in Clinical Research Data Warehouses

Mathias Kaspar, Leon Liman, Maximilian Ertl, Georg Fette, Lea Katharina Seidlmayer, Laura Schreiber, Frank Puppe, Stefan Störk

Original Paper

A Hybrid Reporting Platform for Extended RadLex Coding Combining Structured Reporting Templates and Natural Language Processing

Florian Jungmann, G. Arnhold, B. Kämpgen, T. Jorg, C. Düber, P. Mildenberger, R. Kloeckner

Methods Paper

An Open-Source, Vender Agnostic Hardware and Software Pipeline for Integration of Artificial Intelligence in Radiology Workflow

Jae Ho Sohn, Yeshwant Reddy Chillakuru, Stanley Lee, Amie Y Lee, Tatiana Kelil, Christopher Paul Hess, Youngho Seo, Thienkhai Vu, Bonnie N Joe

Original Paper

Using Facebook Live to Advocate Breast Cancer Screening

Hilda H. Tso, Jay R. Parikh

Original Paper

So You Want to Develop an App for Radiology Education? What You Need to Know to Be Successful

Lilly Kauffman, Sara Raminpour, Edmund M. Weisberg, Elliot K. Fishman

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