Journal of Imaging Informatics in Medicine

Visible Light Imaging: Clinical Aspects with an Emphasis on Medical Photography—a HIMSS-SIIM Enterprise Imaging Community Whitepaper

• Open Access

Cheryl A. Petersilge, Julie McDonald, Matthew Bishop, Laurence Yudkovitch, Caitlin Treuting, Alexander J. Towbin

Radiological Structured Report Integrated with Quantitative Imaging Biomarkers and Qualitative Scoring Systems

• Integration

A. Mañas-García, I. González-Valverde, E. Camacho-Ramos, A. Alberich-Bayarri, J. A. Maldonado, M. Marcos, M. Robles

Design and Development of a Medical Image Databank for Assisting Studies in Radiomics

• Original Paper

Surajit Kundu, Santam Chakraborty, Jayanta Mukhopadhyay, Syamantak Das, Sanjoy Chatterjee, Rimpa Basu Achari, Indranil Mallick, Partha Pratim Das, Moses Arunsingh, Tapesh Bhattacharyyaa, Soumendranath Ray

COVID-19 CT Scan Lung Segmentation: How We Do It

• Zur Zeit gratis
• COVID-19

Davide Negroni, Domenico Zagaria, Andrea Paladini, Zeno Falaschi, Anna Arcoraci, Michela Barini, Alessandro Carriero

Evaluation of a 2D UNet-Based Attenuation Correction Methodology for PET/MR Brain Studies

• Open Access
• Computed Tomography

Luca Presotto, Valentino Bettinardi, Matteo Bagnalasta, Paola Scifo, Annarita Savi, Emilia Giovanna Vanoli, Federico Fallanca, Maria Picchio, Daniela Perani, Luigi Gianolli, Elisabetta De Bernardi

Computer-Aided Diagnosis of Vertebral Compression Fractures Using Convolutional Neural Networks and Radiomics

Rafael Silva Del Lama, Raquel Mariana Candido, Natália Santana Chiari-Correia, Marcello Henrique Nogueira-Barbosa, Paulo Mazzoncini de Azevedo-Marques, Renato Tinós

Lesion Segmentation in Gastroscopic Images Using Generative Adversarial Networks

Yaru Sun, Yunqi Li, Pengfei Wang, Dongzhi He, Zhiqiang Wang

Robust-Deep: A Method for Increasing Brain Imaging Datasets to Improve Deep Learning Models’ Performance and Robustness

• Maxillary Augmentation

Amirhossein Sanaat, Isaac Shiri, Sohrab Ferdowsi, Hossein Arabi, Habib Zaidi

Highly Efficient and Accurate Deep Learning–Based Classification of MRI Contrast on a CPU and GPU

Neville D. Gai

Fast and Robust Exudate Detection in Retinal Fundus Images Using Extreme Learning Machine Autoencoders and Modified KAZE Features

• Original Paper

N Jagan Mohan, R Murugan, Tripti Goel, Parthapratim Roy

Software-Automated Implant Detection for Intraoperative 3D Imaging—First Clinical Evaluation on 214 Data Sets

• Open Access

Nils Beisemann, Eric Mandelka, Jan S. El Barbari, Björn Kreher, Sven Y. Vetter, Paul Alfred Grützner, Jochen Franke

Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical Reports

• Original Paper

Audrey Y. Ha, Bao H. Do, Adam L. Bartret, Charles X. Fang, Albert Hsiao, Amelie M. Lutz, Imon Banerjee, Geoffrey M. Riley, Daniel L. Rubin, Kathryn J. Stevens, Erin Wang, Shannon Wang, Christopher F. Beaulieu, Brian Hurt

Is AI the Ultimate QA?

Edmund M. Weisberg, Linda C. Chu, Benjamin D. Nguyen, Pelu Tran, Elliot K. Fishman

AI-Driven Model for Automatic Emphysema Detection in Low-Dose Computed Tomography Using Disease-Specific Augmentation

• Open Access

Yeshaswini Nagaraj, Hendrik Joost Wisselink, Mieneke Rook, Jiali Cai, Sunil Belur Nagaraj, Grigory Sidorenkov, Raymond Veldhuis, Matthijs Oudkerk, Rozemarijn Vliegenthart, Peter van Ooijen

Automatic CT Angiography Lesion Segmentation Compared to CT Perfusion in Ischemic Stroke Detection: a Feasibility Study

• Open Access
• Original Paper

Teemu Mäkelä, Olli Öman, Lasse Hokkinen, Ulla Wilppu, Eero Salli, Sauli Savolainen, Marko Kangasniemi

A Multilevel Transfer Learning Technique and LSTM Framework for Generating Medical Captions for Limited CT and DBT Images

R. V. Aswiga, A. P. Shanthi

BSREM for Brain Metastasis Detection with 18F-FDG-PET/CT in Lung Cancer Patients

• Open Access
• Original Paper

Virginia Liberini, Daniele A. Pizzuto, Michael Messerli, Erika Orita, Hannes Grünig, Alexander Maurer, Cäcilia Mader, Lars Husmann, Désirée Deandreis, Fotis Kotasidis, Josey Trinckauf, Alessandra Curioni, Isabelle Opitz, Sebastian Winklhofer, Martin W. Huellner

Deep Learning-based Automated Aortic Area and Distensibility Assessment: the Multi-Ethnic Study of Atherosclerosis (MESA)

• Aortic Aneurysm

Vivek P. Jani, Nadjia Kachenoura, Alban Redheuil, Gisela Teixido-Tura, Kevin Bouaou, Emilie Bollache, Elie Mousseaux, Alain De Cesare, Shelby Kutty, Colin O. Wu, David A. Bluemke, Joao A. C. Lima, Bharath Ambale-Venkatesh

Incorporating Radiomics into Machine Learning Models to Predict Outcomes of Neuroblastoma

Gengbo Liu, Mini Poon, Matthew A. Zapala, William C. Temple, Kieuhoa T. Vo, Kathrine K. Matthay, Debasis Mitra, Youngho Seo

Medical 3D Printing Dimensional Accuracy for Multi-pathological Anatomical Models 3D Printed Using Material Extrusion

Prashanth Ravi, Leonid L. Chepelev, Gabrielle V. Stichweh, Benjamin S. Jones, Frank J. Rybicki

Optimizing a Deep Residual Neural Network with Genetic Algorithm for Acute Lymphoblastic Leukemia Classification

• Original Paper

Larissa Ferreira Rodrigues, André Ricardo Backes, Bruno Augusto Nassif Travençolo, Gina Maira Barbosa de Oliveira

An Efficient Hierarchical Optic Disc and Cup Segmentation Network Combined with Multi-task Learning and Adversarial Learning

• Original Paper

Ying Wang, Xiaosheng Yu, Chengdong Wu

Diagnostic Accuracy of Caries and Periapical Lesions on a Monitor with and without DICOM-GSDF Calibration Under Different Ambient Light Conditions

Rangel Teles Freire, Agnaldo Rocha Prata-Júnior, John Nadson Andrade Pinho, Wilton Mitsunari Takeshita

Machine vs. Radiologist-Based Translations of RadLex: Implications for Multi-language Report Interoperability

Christian J. Park, Paul H. Yi, Hussain Al Yousif, Kenneth C. Wang

A Cyber-Security Risk Assessment Methodology for Medical Imaging Devices: the Radiologists’ Perspective

• Original Paper

Tom Mahler, Erez Shalom, Arnon Makori, Yuval Elovici, Yuval Shahar

The Classification Power of Classical and Intra-voxel Incoherent Motion (IVIM) Fitting Models of Diffusion-weighted Magnetic Resonance Images: An Experimental Study

Ruba Alkadi, Osama Abdullah, Naoufel Werghi

“Snap on” or Not? A Validation on the Measurement Tool in a Virtual Reality Application

Haarisudhan Sureshkumar, Ruidi Xu, Nikith Erukulla, Aditi Wadhwa, Linping Zhao

A Dedicated Tool for Presurgical Mapping of Brain Tumors and Mixed-Reality Navigation During Neurosurgery

• Open Access

Piero Chiacchiaretta, Mauro Gianni Perrucci, Massimo Caulo, Riccardo Navarra, Gaia Baldiraghi, Davide Rolandi, Sabino Luzzi, Mattia Del Maestro, Renato Galzio, Antonio Ferretti

Gamification in Radiology Training Module Developed During the Society for Imaging Informatics in Medicine Annual Meeting Hackathon

Pedro V. Staziaki, João A. A. Santinha, Marcelo O. Coelho, Diego Angulo, Mohannad Hussain, Les R. Folio

Rethinking Clinical Trial Radiology Workflows and Student Training: Integrated Virtual Student Shadowing Experience, Education, and Evaluation

• Original Paper

Lillian G. Spear, Jane A. Dimperio, Sherry S. Wang, Huy M. Do, Les. R Folio