Ausgabe 2/2023
Inhalt (32 Artikel)
Mapping the Landscape of Care Providers’ Quality Assurance Approaches for AI in Diagnostic Imaging
Claes Lundström, Martin Lindvall
Radiologists Help Each Other to Improve Efficiency by Decreasing the Time to Look Up a Patient’s Relevant Clinical History in the Electronic Medical Record
Umber Shafique, Stephen L. Hillis, Jinha M. Park, David M. Kuehn, Maheen Rajput
Development and Implementation of a Semi-Automated Workflow for Point-of-Care Ultrasound Billing and Documentation Within an Electronic Health Record
Akhil Dhamija, Laurie A. Perry, Timothy J. OConnor, Lisa Ulland, Evan Slavik, Alexander J. Towbin
Utilizing a Digital Swarm Intelligence Platform to Improve Consensus Among Radiologists and Exploring Its Applications
Rutwik Shah, Bruno Astuto Arouche Nunes, Tyler Gleason, Will Fletcher, Justin Banaga, Kevin Sweetwood, Allen Ye, Rina Patel, Kevin McGill, Thomas Link, Jason Crane, Valentina Pedoia, Sharmila Majumdar
Contrast Enhancement of RGB Retinal Fundus Images for Improved Segmentation of Blood Vessels Using Convolutional Neural Networks
Olubunmi Sule, Serestina Viriri
DLA-H: A Deep Learning Accelerator for Histopathologic Image Classification
Hamidreza Bolhasani, Somayyeh Jafarali Jassbi, Arash Sharifi
Convolutional Neural Networks for Classifying Cervical Cancer Types Using Histological Images
Yi-xin Li, Feng Chen, Jiao-jiao Shi, Yu-li Huang, Mei Wang
Automated Registration and Color Labeling of Serial 3D Double Inversion Recovery MR Imaging for Detection of Lesion Progression in Multiple Sclerosis
Charlie C. Park, Marijn E. Brummer, Gelareh Sadigh, Amit M. Saindane, Mark E. Mullins, Jason W. Allen, Ranliang Hu
Bilateral Weighted Relative Total Variation for Low-Dose CT Reconstruction
Yuanwei He, Li Zeng, Wei Chen, Changcheng Gong, Zhaoqiang Shen
New Contrast Enhancement Method for Multiple Sclerosis Lesion Detection
Besma Mnassri, Amira Echtioui, Fathi Kallel, Ahmed Ben Hamida, Mariem Dammak, Chokri Mhiri, Kheireddine Ben Mahfoudh
3D-Reconstructed Contact Surface Area and Tumour Volume on Magnetic Resonance Imaging Improve the Prediction of Extraprostatic Extension of Prostate Cancer
Hans Veerman, Caroline M. A. Hoeks, Judith H. Sluijter, Jari A. van der Eijk, Thierry N. Boellaard, Ton A. Roeleveld, Tim M. van der Sluis, Jakko A. Nieuwenhuijzen, Esther Wit, Erik-Jan Rijkhorst, Martijn W. Heymans, Maarten J. A. van Alphen, Robert L. P. van Veen, André N. Vis, Henk G. van der Poel, Pim J. van Leeuwen
Myocardial Perfusion SPECT Imaging Radiomic Features and Machine Learning Algorithms for Cardiac Contractile Pattern Recognition
Maziar Sabouri, Ghasem Hajianfar, Zahra Hosseini, Mehdi Amini, Mobin Mohebi, Tahereh Ghaedian, Shabnam Madadi, Fereydoon Rastgou, Mehrdad Oveisi, Ahmad Bitarafan Rajabi, Isaac Shiri, Habib Zaidi
An Intelligent System to Enhance the Performance of Brain Tumor Diagnosis from MR Images
T. S. Sheela Shiney, S. Albert Jerome
ChimeraNet: U-Net for Hair Detection in Dermoscopic Skin Lesion Images
Norsang Lama, Reda Kasmi, Jason R. Hagerty, R. Joe Stanley, Reagan Young, Jessica Miinch, Januka Nepal, Anand Nambisan, William V. Stoecker
Direct Evaluation of Treatment Response in Brain Metastatic Disease with Deep Neuroevolution
Joseph N Stember, Robert J Young, Hrithwik Shalu
Deep Learning-based Non-rigid Image Registration for High-dose Rate Brachytherapy in Inter-fraction Cervical Cancer
Mohammad Salehi, Alireza Vafaei Sadr, Seied Rabi Mahdavi, Hossein Arabi, Isaac Shiri, Reza Reiazi
Spleen Tissue Segmentation Algorithm for Cryo-Imaging Data
Patiwet Wuttisarnwattana, Sansanee Auephanwiriyakul
3D CT-Inclusive Deep-Learning Model to Predict Mortality, ICU Admittance, and Intubation in COVID-19 Patients
Alberto Di Napoli, Emanuela Tagliente, Luca Pasquini, Enrica Cipriano, Filomena Pietrantonio, Piermaria Ortis, Simona Curti, Alessandro Boellis, Teseo Stefanini, Antonio Bernardini, Chiara Angeletti, Sofia Chiatamone Ranieri, Paola Franchi, Ioan Paul Voicu, Carlo Capotondi, Antonio Napolitano
Multi-Modal Feature Fusion-Based Multi-Branch Classification Network for Pulmonary Nodule Malignancy Suspiciousness Diagnosis
Haiying Yuan, Yanrui Wu, Mengfan Dai
BUS-Net: Breast Tumour Detection Network for Ultrasound Images Using Bi-directional ConvLSTM and Dense Residual Connections
Ridhi Arora, Balasubramanian Raman
Deep Learning for Breast MRI Style Transfer with Limited Training Data
Shixing Cao, Nicholas Konz, James Duncan, Maciej A. Mazurowski
Detecting Distal Radius Fractures Using a Segmentation-Based Deep Learning Model
Turkka T. Anttila, Teemu V. Karjalainen, Teemu O. Mäkelä, Eero M. Waris, Nina C. Lindfors, Miika M. Leminen, Jorma O. Ryhänen
A Novel Deep Learning Model Based on Multi-Scale and Multi-View for Detection of Pulmonary Nodules
Yang Chen, Xuewen Hou, Yifeng Yang, Qianqian Ge, Yan Zhou, Shengdong Nie
An Orchestration Platform that Puts Radiologists in the Driver’s Seat of AI Innovation: a Methodological Approach
Raphael Y. Cohen, Aaron D. Sodickson
Querying a Clinical Data Warehouse for Combinations of Clinical and Imaging Data
Mathias Kaspar, Leon Liman, Caroline Morbach, Georg Dietrich, Lea Katharina Seidlmayer, Frank Puppe, Stefan Störk
Perceptually Motivated Generative Model for Magnetic Resonance Image Denoising
Hazique Aetesam, Suman Kumar Maji
Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation
Michael Yeung, Leonardo Rundo, Yang Nan, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang
BlueLight: An Open Source DICOM Viewer Using Low-Cost Computation Algorithm Implemented with JavaScript Using Advanced Medical Imaging Visualization
Tseng-Tse Chen, Ying-Chou Sun, Woei-Chyn Chu, Chung-Yueh Lien
Correction: A Dedicated Tool for Presurgical Mapping of Brain Tumors and Mixed‐Reality Navigation During Neurosurgery
Piero Chiacchiaretta, Mauro Gianni Perrucci, Massimo Caulo, Riccardo Navarra, Gaia Baldiraghi, Davide Rolandi, Sabino Luzzi, Mattia Del Maestro, Renato Galzio, Antonio Ferretti