Ausgabe 6/2023
Inhalt (27 Artikel)
Are the Pilots Onboard? Equipping Radiologists for Clinical Implementation of AI
Umber Shafique, Umar Shafique Chaudhry, Alexander J. Towbin
An Explainable MRI-Radiomic Quantum Neural Network to Differentiate Between Large Brain Metastases and High-Grade Glioma Using Quantum Annealing for Feature Selection
Tony Felefly, Camille Roukoz, Georges Fares, Samir Achkar, Sandrine Yazbeck, Philippe Meyer, Manal Kordahi, Fares Azoury, Dolly Nehme Nasr, Elie Nasr, Georges Noël, Ziad Francis
A Deep Learning Image Reconstruction Algorithm for Improving Image Quality and Hepatic Lesion Detectability in Abdominal Dual-Energy Computed Tomography: Preliminary Results
Bingqian Chu, Lu Gan, Yi Shen, Jian Song, Ling Liu, Jianying Li, Bin Liu
CT-based Radiogenomics Framework for COVID-19 Using ACE2 Imaging Representations
Tian Xia, Xiaohang Fu, Michael Fulham, Yue Wang, Dagan Feng, Jinman Kim
Deep Transfer Learning-Based Approach for Glucose Transporter-1 (GLUT1) Expression Assessment
Maisun Mohamed Al Zorgani, Hassan Ugail, Klaus Pors, Abdullahi Magaji Dauda
Pulmonary Surface Irregularity Score as a New Quantitative CT Marker for Idiopathic Pulmonary Fibrosis—a Pilot Study
Asser M. Abou Elkassem, Rafah Mresh, Ahmed Farag, Steven Rothenberg, Seth T. Lirette, Andrew D. Smith, Tejaswini Kulkarni
Improving the Efficacy of ACR TI-RADS Through Deep Learning-Based Descriptor Augmentation
Lev Barinov, Ajit Jairaj, William D. Middleton, Michael D., Beland, Jonathan Kirsch, Ross W. Filice, Jordi L. Reverter, Iñaki Arguelles, Edward G. Grant
Improving Image Classification of Knee Radiographs: An Automated Image Labeling Approach
Jikai Zhang, Carlos Santos, Christine Park, Maciej A. Mazurowski, Roy Colglazier
MF-Net: Automated Muscle Fiber Segmentation From Immunofluorescence Images Using a Local-Global Feature Fusion Network
Getao Du, Peng Zhang, Jianzhong Guo, Xiangsheng Pang, Guanghan Kan, Bin Zeng, Xiaoping Chen, Jimin Liang, Yonghua Zhan
ECTransNet: An Automatic Polyp Segmentation Network Based on Multi-scale Edge Complementary
Weikang Liu, Zhigang Li, Chunyang Li, Hongyan Gao
PFP-HOG: Pyramid and Fixed-Size Patch-Based HOG Technique for Automated Brain Abnormality Classification with MRI
Ela Kaplan, Wai Yee Chan, Hasan Baki Altinsoy, Mehmet Baygin, Prabal Datta Barua, Subrata Chakraborty, Sengul Dogan, Turker Tuncer, U. Rajendra Acharya
ExpHBA Deep-IoT: Exponential Honey Badger Optimized Deep Learning For Breast Cancer Detection in IoT Healthcare System
R. Rajeswari, G. V. Sriramakrishnan, Ch.Vidyadhari, K. V. Kanimozhi
A Novel Classification Model Using Optimal Long Short-Term Memory for Classification of COVID-19 from CT Images
R. Vinothini, G. Niranjana, Fitri Yakub
Left Ventricular Myocardial Dysfunction Evaluation in Thalassemia Patients Using Echocardiographic Radiomic Features and Machine Learning Algorithms
Haniyeh Taleie, Ghasem Hajianfar, Maziar Sabouri, Mozhgan Parsaee, Golnaz Houshmand, Ahmad Bitarafan-Rajabi, Habib Zaidi, Isaac Shiri
Detecting and Characterizing Inferior Vena Cava Filters on Abdominal Computed Tomography with Data-Driven Computational Frameworks
Sema Candemir, Robert Moranville, Kelvin A. Wong, Warren Campbell, Matthew T. Bigelow, Luciano M. Prevedello, Mina S. Makary
External Validation of Robust Radiomic Signature to Predict 2-Year Overall Survival in Non-Small-Cell Lung Cancer
Ashish Kumar Jha, Umeshkumar B. Sherkhane, Sneha Mthun, Vinay Jaiswar, Nilendu Purandare, Kumar Prabhash, Leonard Wee, Venkatesh Rangarajan, Andre Dekker
DMCA-GAN: Dual Multilevel Constrained Attention GAN for MRI-Based Hippocampus Segmentation
Xue Chen, Yanjun Peng, Dapeng Li, Jindong Sun
Diagnostic Value of MRI Features in Dual-phenotype Hepatocellular Carcinoma: A Preliminary Study
Hong-Xian Gu, Xiao-Shan Huang, Jian-Xia Xu, Ping Zhu, Jian-Feng Xu, Shu-Feng Fan
Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios
Filippo Bargagna, Lisa Anita De Santi, Nicola Martini, Dario Genovesi, Brunella Favilli, Giuseppe Vergaro, Michele Emdin, Assuero Giorgetti, Vincenzo Positano, Maria Filomena Santarelli
Public Imaging Datasets of Gastrointestinal Endoscopy for Artificial Intelligence: a Review
Shiqi Zhu, Jingwen Gao, Lu Liu, Minyue Yin, Jiaxi Lin, Chang Xu, Chunfang Xu, Jinzhou Zhu
Reduced Deep Convolutional Activation Features (R-DeCAF) in Histopathology Images to Improve the Classification Performance for Breast Cancer Diagnosis
Bahareh Morovati, Reza Lashgari, Mojtaba Hajihasani, Hasti Shabani
Initial Experience of 10 Imaging Vendors with the IHE SHARAZONE: a New Multivendor Peer-to-Peer Test Service for DICOM Objects
Steven Nichols, Bruno Laffin, Charles Parisot
Applicability Evaluation of Full-Reference Image Quality Assessment Methods for Computed Tomography Images
Kohei Ohashi, Yukihiro Nagatani, Makoto Yoshigoe, Kyohei Iwai, Keiko Tsuchiya, Atsunobu Hino, Yukako Kida, Asumi Yamazaki, Takayuki Ishida
Enhancing Caries Detection in Bitewing Radiographs Using YOLOv7
Wannakamon Panyarak, Kittichai Wantanajittikul, Arnon Charuakkra, Sangsom Prapayasatok, Wattanapong Suttapak
Subject-Specific Automatic Reconstruction of White Matter Tracts
Stephan Meesters, Maud Landers, Geert-Jan Rutten, Luc Florack
Correction to: The FIND Program: Improving Follow-up of Incidental Imaging Findings
Kaitlin M. Zaki-Metias, Jeffrey J. MacLean, Alexander M. Satei, Serguei Medvedev, Huijuan Wang, Christopher C. Zarour, Paul J. Arpasi