Issue 1/2023
Content (31 Articles)
Imaging Informatics Fellowship Curriculum: Building Consensus on the Most Critical Topics and the Future of the Informatics Fellowship
Roger Gerard, Valeria Makeeva, Brianna Vey, Tessa S. Cook, Paul Nagy, Ross W. Filice, Kenneth C. Wang, Patricia Balthazar, Peter Harri, Nabile M. Safdar
Artificial Intelligence-Powered Clinical Decision Support and Simulation Platform for Radiology Trainee Education
Chintan Shah, Karapet Davtyan, Ilya Nasrallah, R Nick Bryan, Suyash Mohan
Fidelity of 3D Printed Brains from MRI Scan in Children with Pathology (Prior Hypoxic Ischemic Injury)
Anith Chacko, Phassawan Rungsiprakarn, Ivan Erlic, Ngoc Jade Thai, Savvas Andronikou
Reducing Wait Times for Radiology Exams Around Holiday Periods: A Monte Carlo Simulation
Vivek A. Pisharody, Hooman Yarmohammadi, Etay Ziv, Vlasios S. Sotirchos, Erica Alexander, Constantino Sofocleous, Joseph P. Erinjeri
Content-Based Medical Image Retrieval System for Skin Melanoma Diagnosis Based on Optimized Pair-Wise Comparison Approach
Narendra Kumar Rout, Mitul Kumar Ahirwal, Mithilesh Atulkar
Artificial Humming Bird Optimization–Based Hybrid CNN-RNN for Accurate Exudate Classification from Fundus Images
Dhiravidachelvi E., Senthil Pandi S., Prabavathi R., Bala Subramanian C.
Recognition of Digital Dental X-ray Images Using a Convolutional Neural Network
Feng Liu, Lei Gao, Jun Wan, Zhi-Lei Lyu, Ying-Ying Huang, Chao Liu, Min Han
Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique
Seyed Ali Reza Moezzi, Abdolrahman Ghaedi, Mojdeh Rahmanian, Seyedeh Zahra Mousavi, Ashkan Sami
Event-Based Clinical Finding Extraction from Radiology Reports with Pre-trained Language Model
Wilson Lau, Kevin Lybarger, Martin L. Gunn, Meliha Yetisgen
Natural Language Processing Model for Identifying Critical Findings—A Multi-Institutional Study
Imon Banerjee, Melissa A. Davis, Brianna L. Vey, Sina Mazaheri, Fiza Khan, Vaz Zavaletta, Roger Gerard, Judy Wawira Gichoya, Bhavik Patel
Deep Learning for Detection of Intracranial Aneurysms from Computed Tomography Angiography Images
Xiujuan Liu, Jun Mao, Ning Sun, Xiangrong Yu, Lei Chai, Ye Tian, Jianming Wang, Jianchao Liang, Haiquan Tao, Lihua Yuan, Jiaming Lu, Yang Wang, Bing Zhang, Kaihua Wu, Yiding Wang, Mengjiao Chen, Zhishun Wang, Ligong Lu
Two-Stage CNN Whole Heart Segmentation Combining Image Enhanced Attention Mechanism and Metric Classification
Xuchu Wang, Fusheng Wang, Yanmin Niu
Intra-operator Repeatability of Manual Segmentations of the Hip Muscles on Clinical Magnetic Resonance Images
Giorgio Davico, Francesca Bottin, Alberto Di Martino, Vanita Castafaro, Fabio Baruffaldi, Cesare Faldini, Marco Viceconti
Toward Robust Partial-Image Based Template Matching Techniques for MRI-Guided Interventions
Eung-Joo Lee, Setareh Farzinfard, Pavel Yarmolenko, Kevin Cleary, Reza Monfaredi
Improved Fine-Tuning of In-Domain Transformer Model for Inferring COVID-19 Presence in Multi-Institutional Radiology Reports
Pierre Chambon, Tessa S. Cook, Curtis P. Langlotz
Deep Learning–Based Time-to-Death Prediction Model for COVID-19 Patients Using Clinical Data and Chest Radiographs
Toshimasa Matsumoto, Shannon Leigh Walston, Michael Walston, Daijiro Kabata, Yukio Miki, Masatsugu Shiba, Daiju Ueda
An Explainable Convolutional Neural Network for the Early Diagnosis of Alzheimer’s Disease from 18F-FDG PET
Lisa Anita De Santi, Elena Pasini, Maria Filomena Santarelli, Dario Genovesi, Vincenzo Positano
Deep Learning for Image Enhancement and Correction in Magnetic Resonance Imaging—State-of-the-Art and Challenges
Zhaolin Chen, Kamlesh Pawar, Mevan Ekanayake, Cameron Pain, Shenjun Zhong, Gary F. Egan
Segmentation of Multiple Nuclei from Non-overlapping Immuno-histochemically Stained Histological Hepatic Images
Lekshmi Kalinathan, Ruba Soundar Kathavarayan
Inter-Slice Resolution Improvement Using Convolutional Neural Network with Orbital Bone Edge-Aware in Facial CT Images
Hee Rim Yun, Min Jin Lee, Helen Hong, Kyu Won Shim
Interior Reconstruction from Truncated Projection Data in Cone-beam Computed Tomography
Wang Xianchao, Li Shaoyi, Hou Changhui
Near Lossless Compression for 3D Radiological Images Using Optimal Multilinear Singular Value Decomposition (3D-VOI-OMLSVD)
S. Boopathiraja, P. Kalavathi, S. Deoghare, V. B. Surya Prasath
Accelerated Diffusion-Weighted MR Image Reconstruction Using Deep Neural Networks
Fariha Aamir, Ibtisam Aslam, Madiha Arshad, Hammad Omer
Improving the Automatic Classification of Brain MRI Acquisition Contrast with Machine Learning
Julia Cluceru, Janine M. Lupo, Yannet Interian, Riley Bove, Jason C. Crane
Transfer Learning Approach and Nucleus Segmentation with MedCLNet Colon Cancer Database
Hatice Catal Reis, Veysel Turk
Automated Multimodal Machine Learning for Esophageal Variceal Bleeding Prediction Based on Endoscopy and Structured Data
Yu Wang, Yu Hong, Yue Wang, Xin Zhou, Xin Gao, Chenyan Yu, Jiaxi Lin, Lu Liu, Jingwen Gao, Minyue Yin, Guoting Xu, Xiaolin Liu, Jinzhou Zhu
U-Patch GAN: A Medical Image Fusion Method Based on GAN
Chao Fan, Hao Lin, Yingying Qiu
Definition of the Region of Interest for the Assessment of Alveolar Bone Repair Using Micro-computed Tomography
Juliana Simeão Borges, Vitor Cardoso Costa, Milena Suemi Irie, Gabriella Lopes de Rezende Barbosa, Rubens Spin-Neto, Priscilla Barbosa Ferreira Soares
The 2021 SIIM-FISABIO-RSNA Machine Learning COVID-19 Challenge: Annotation and Standard Exam Classification of COVID-19 Chest Radiographs
Paras Lakhani, J. Mongan, C. Singhal, Q. Zhou, K. P. Andriole, W. F. Auffermann, P. M. Prasanna, T. X. Pham, Michael Peterson, P. J. Bergquist, T. S. Cook, S. F. Ferraciolli, G. C. A. Corradi, MS Takahashi, C. S. Workman, M. Parekh, S. I. Kamel, J. Galant, A. Mas-Sanchez, E. C. Benítez, M. Sánchez-Valverde, L. Jaques, M. Panadero, M. Vidal, M. Culiañez-Casas, D. Angulo-Gonzalez, S. G. Langer, María de la Iglesia-Vayá, G. Shih
Non-Expert Markings of Active Chronic Graft-Versus-Host Disease Photographs: Optimal Metrics of Training Effects
Kelsey Parks, Xiaoqi Liu, Tahsin Reasat, Zain Khera, Laura X. Baker, Heidi Chen, Benoit M. Dawant, Inga Saknite, Eric R. Tkaczyk