Issue 2/2024
Content (40 Articles)
HIMSS-SIIM Enterprise Imaging Community White Papers: Reflections and Future Directions
Christopher J. Roth, Cheryl Petersilge, David Clunie, Alexander J. Towbin, Dawn Cram, Rik Primo, Xin Li, Seth J. Berkowitz, Victoria Barnosky, Elizabeth A. Krupinski
Automatic Urinary Stone Detection System for Abdominal Non-Enhanced CT Images Reduces the Burden on Radiologists
Zhaoyu Xing, Zuhui Zhu, Zhenxing Jiang, Jingshi Zhao, Qin Chen, Wei Xing, Liang Pan, Yan Zeng, Aie Liu, Jiule Ding
An Automatic Framework for Nasal Esthetic Assessment by ResNet Convolutional Neural Network
Maryam Ashoori, Reza A. Zoroofi, Mohammad Sadeghi
Personalized Impression Generation for PET Reports Using Large Language Models
Xin Tie, Muheon Shin, Ali Pirasteh, Nevein Ibrahim, Zachary Huemann, Sharon M. Castellino, Kara M. Kelly, John Garrett, Junjie Hu, Steve Y. Cho, Tyler J. Bradshaw
Improving the Reliability of Peer Review Without a Gold Standard
Tarmo Äijö, Daniel Elgort, Murray Becker, Richard Herzog, Richard K. J. Brown, Benjamin L. Odry, Ron Vianu
Patterns of Access to Radiology Reports and Images Through a Patient Portal
Jason Wang, Julia E. Goldberg, Tobias Block, Dana Ostrow, Dan Carbone, Michael Recht, Ankur Doshi
An MRI-Based Deep Transfer Learning Radiomics Nomogram to Predict Ki-67 Proliferation Index of Meningioma
Chongfeng Duan, Dapeng Hao, Jiufa Cui, Gang Wang, Wenjian Xu, Nan Li, Xuejun Liu
CT-Based Intratumoral and Peritumoral Radiomics Nomograms for the Preoperative Prediction of Spread Through Air Spaces in Clinical Stage IA Non-small Cell Lung Cancer
Yun Wang, Deng Lyu, Lei Hu, Junhong Wu, Shaofeng Duan, Taohu Zhou, Wenting Tu, Yi Xiao, Li Fan, Shiyuan Liu
Robustness of Deep Networks for Mammography: Replication Across Public Datasets
Osvaldo M. Velarde, Clarissa Lin, Sarah Eskreis-Winkler, Lucas C. Parra
SAA-SDM: Neural Networks Faster Learned to Segment Organ Images
Chao Gao, Yongtao Shi, Shuai Yang, Bangjun Lei
Automated Quantification of Total Cerebral Blood Flow from Phase-Contrast MRI and Deep Learning
Jinwon Kim, Hyebin Lee, Sung Suk Oh, Jinhee Jang, Hyunyeol Lee
Reliable Delineation of Clinical Target Volumes for Cervical Cancer Radiotherapy on CT/MR Dual-Modality Images
Ying Sun, Yuening Wang, Kexin Gan, Yuxin Wang, Ying Chen, Yun Ge, Jie Yuan, Hanzi Xu
Deep Learning–based Diagnosis of Pulmonary Tuberculosis on Chest X-ray in the Emergency Department: A Retrospective Study
Chih-Hung Wang, Weishan Chang, Meng-Rui Lee, Joyce Tay, Cheng-Yi Wu, Meng-Che Wu, Holger R. Roth, Dong Yang, Can Zhao, Weichung Wang, Chien-Hua Huang
Fully Automated Measurement of the Insall-Salvati Ratio with Artificial Intelligence
J. Adleberg, C. L. Benitez, N. Primiano, A. Patel, D. Mogel, R. Kalra, A. Adhia, M. Berns, C. Chin, S. Tanghe, P. Yi, J. Zech, A. Kohli, T. Martin-Carreras, I. Corcuera-Solano, M. Huang, J. Ngeow
Machine Learning Supported the Modified Gustafson’s Criteria for Dental Age Estimation in Southwest China
Xinhua Dai, Anjie Liu, Junhong Liu, Mengjun Zhan, Yuanyuan Liu, Wenchi Ke, Lei Shi, Xinyu Huang, Hu Chen, Zhenhua Deng, Fei Fan
Using the Textual Content of Radiological Reports to Detect Emerging Diseases: A Proof-of-Concept Study of COVID-19
Amandine Crombé, Jean-Christophe Lecomte, Mylène Seux, Nathan Banaste, Guillaume Gorincour
Development of Local Software for Automatic Measurement of Geometric Parameters in the Proximal Femur Using a Combination of a Deep Learning Approach and an Active Shape Model on X-ray Images
Hamid Alavi, Mehdi Seifi, Mahboubeh Rouhollahei, Mehravar Rafati, Masoud Arabfard
MRI-Based Machine Learning Fusion Models to Distinguish Encephalitis and Gliomas
Fei Zheng, Ping Yin, Li Yang, Yujian Wang, Wenhan Hao, Qi Hao, Xuzhu Chen, Nan Hong
Identifying Leukoaraiosis with Mild Cognitive Impairment by Fusing Multiple MRI Morphological Metrics and Ensemble Machine Learning
Yifeng Yang, Ying Hu, Yang Chen, Weidong Gu, Shengdong Nie
Development and Validation of a 3D Resnet Model for Prediction of Lymph Node Metastasis in Head and Neck Cancer Patients
Yi-Hui Lin, Chieh-Ting Lin, Ya-Han Chang, Yen-Yu Lin, Jen-Jee Chen, Chun-Rong Huang, Yu-Wei Hsu, Weir-Chiang You
Lightweight Attentive Graph Neural Network with Conditional Random Field for Diagnosis of Anterior Cruciate Ligament Tear
Jiaoju Wang, Jiewen Luo, Jiehui Liang, Yangbo Cao, Jing Feng, Lingjie Tan, Zhengcheng Wang, Jingming Li, Alphonse Houssou Hounye, Muzhou Hou, Jinshen He
Detecting Avascular Necrosis of the Lunate from Radiographs Using a Deep-Learning Model
Krista Wernér, Turkka Anttila, Sina Hulkkonen, Timo Viljakka, Ville Haapamäki, Jorma Ryhänen
Evaluation of Mucosal Healing in Crohn’s Disease: Radiomics Models of Intestinal Wall and Mesenteric Fat Based on Dual-Energy CT
Chao Zhu, Chang Rong, Jian Song, Xiaomin Zheng, Qi Wu, Jing Hu, Jianying Li, Xingwang Wu
Multi-Class Deep Learning Model for Detecting Pediatric Distal Forearm Fractures Based on the AO/OTA Classification
Le Nguyen Binh, Nguyen Thanh Nhu, Vu Pham Thao Vy, Do Le Hoang Son, Truong Nguyen Khanh Hung, Nguyen Bach, Hoang Quoc Huy, Le Van Tuan, Nguyen Quoc Khanh Le, Jiunn-Horng Kang
Development and Validation of Deep Learning-Based Automated Detection of Cervical Lymphadenopathy in Patients with Lymphoma for Treatment Response Assessment: A Bi-institutional Feasibility Study
Yoonho Nam, Su-Youn Kim, Kyu-Ah Kim, Euna Kwon, Yoo Hyun Lee, Jinhee Jang, Min Kyoung Lee, Jiwoong Kim, Yangsean Choi
Enhancing YOLO5 for the Assessment of Irregular Pelvic Radiographs with Multimodal Information
Jing Chen, Xiaoyou Fan, Zhen Chen, Yichao Peng, Lichong Liang, Chengyue Su, Yun Chen, Jinghui Yao
Deep Learning-Assisted Diffusion Tensor Imaging for Evaluation of the Physis and Metaphysis
Phuong T. Duong, Laura Santos, Hao-Yun Hsu, Sachin Jambawalikar, Simukayi Mutasa, Michael K. Nguyen, Andressa Guariento, Diego Jaramillo
Diagnostic Performance of Artificial Intelligence in Detection of Primary Malignant Bone Tumors: a Meta-Analysis
Mohammad Amin Salehi, Soheil Mohammadi, Hamid Harandi, Seyed Sina Zakavi, Ali Jahanshahi, Mohammad Shahrabi Farahani, Jim S. Wu
Region-Based Semi-Two-Stream Convolutional Neural Networks for Pressure Ulcer Recognition
Cemil Zalluhoğlu, Doğan Akdoğan, Derya Karakaya, Mehmet Serdar Güzel, M. Mahir Ülgü, Kemal Ardalı, Atila Oğuz Boyalı, Ebru Akçapınar Sezer
A Multi-center Dental Panoramic Radiography Image Dataset for Impacted Teeth, Periodontitis, and Dental Caries: Benchmarking Segmentation and Classification Tasks
Xiang Li, Xuan Ma, Yibai Zhao, Jingjing Hu, Jie Liu, Zhicheng Yang, Fangkai Han, Jie Zhang, Weifan Liu, Zhongwei Zhou
PET KinetiX—A Software Solution for PET Parametric Imaging at the Whole Field of View Level
Florent L. Besson, Sylvain Faure
Multiple Kernel Synthesis of Head CT Using a Task-Based Loss Function
Brandon J. Nelson, Daniel G. Gomez-Cardona, Jamison E. Thorne, Nathan R. Huber, Lifeng Yu, Shuai Leng, Cynthia H. McCollough, Andrew D. Missert
Signal Intensity Trajectories Clustering for Liver Vasculature Segmentation and Labeling (LiVaS) on Contrast-Enhanced MR Images: A Feasibility Pilot Study
Mladen Zecevic, Kyle A. Hasenstab, Kang Wang, Manish Dhyani, Guilherme Moura Cunha
Automatic 3D Segmentation and Identification of Anomalous Aortic Origin of the Coronary Arteries Combining Multi-view 2D Convolutional Neural Networks
Ariel Fernando Pascaner, Antonio Rosato, Alice Fantazzini, Elena Vincenzi, Curzio Basso, Francesco Secchi, Mauro Lo Rito, Michele Conti
Evaluation of Spectral X-Ray Imaging for Panoramic Dental Images Based on a Simulation Framework
Daniel Berthe, Anna Kolb, Abdulrahman Rabi, Thorsten Sellerer, Villseveri Somerkivi, Georg Constantin Feuerriegel, Andreas Philipp Sauter, Felix Meurer, York Hämisch, Tuomas Pantsar, Henrik Lohman, Daniela Pfeiffer, Franz Pfeiffer
Development of Medical Imaging Data Standardization for Imaging-Based Observational Research: OMOP Common Data Model Extension
Woo Yeon Park, Kyulee Jeon, Teri Sippel Schmidt, Haridimos Kondylakis, Tarik Alkasab, Blake E. Dewey, Seng Chan You, Paul Nagy