J. Digit. Imaging

Publications

volume 36, number 4, 2023

Nishta Letchumanan, Jeannie Hsiu Ding Wong, Li Kuo Tan, Nazimah Ab Mumin, Wei Lin Ng, Wai-Yee Chan, Kartini Rahmat
A Radiomics Study: Classification of Breast Lesions by Textural Features from Mammography Images. J. Digit. Imaging 36 (4) (2023)
Daniella Patton, Adarsh Ghosh, Amy Farkas, Susan Sotardi, Michael L. Francavilla, Shyam Venkatakrishna, Saurav Bose, Minhui Ouyang, Hao Huang, Richard Davidson, Raymond W. Sze, Jie Nguyen
Automating Angle Measurements on Foot Radiographs in Young Children: Feasibility and Performance of a Convolutional Neural Network Model. J. Digit. Imaging 36 (4) (2023)
Norsang Lama, Jason R. Hagerty, Anand K. Nambisan, Ronald Joe Stanley, William Van Stoecker
Skin Lesion Segmentation in Dermoscopic Images with Noisy Data. J. Digit. Imaging 36 (4) (2023)
Philippe Raffy, Jean François Pambrun, Ashish Kumar, David Dubois, Jay Waldron Patti, Robyn Alexandra Cairns, Ryan Young
Deep Learning Body Region Classification of MRI and CT Examinations. J. Digit. Imaging 36 (4) (2023)
Jingyu Zhong, Hailin Shen, Yong Chen, Yihan Xia, Xiaomeng Shi, Wei Lu, Jianying Li, Yue Xing, Yangfan Hu, Xiang Ge, Defang Ding, Zhenming Jiang, Weiwu Yao
Evaluation of Image Quality and Detectability of Deep Learning Image Reconstruction (DLIR) Algorithm in Single- and Dual-energy CT. J. Digit. Imaging 36 (4) (2023)
Rong Sun, Chuanling Wei, Zhuoyun Jiang, Gang Huang, Yuanzhong Xie, Shengdong Nie
Weakly Supervised Breast Lesion Detection in Dynamic Contrast-Enhanced MRI. J. Digit. Imaging 36 (4) (2023)
Tao Peng, Yidong Gu, Ji Zhang, Yan Dong, Gongye DI, Wenjie Wang, Jing Zhao, Jing Cai
A Robust and Explainable Structure-Based Algorithm for Detecting the Organ Boundary From Ultrasound Multi-Datasets. J. Digit. Imaging 36 (4) (2023)
Motonori Nagata, Yasutaka Ichikawa, Kensuke Domae, Kazuya Yoshikawa, Yoshinori Kanii, Akio Yamazaki, Naoki Nagasawa, Masaki Ishida, Hajime Sakuma
Application of Deep Learning-Based Denoising Technique for Radiation Dose Reduction in Dynamic Abdominal CT: Comparison with Standard-Dose CT Using Hybrid Iterative Reconstruction Method. J. Digit. Imaging 36 (4) (2023)
Yang Jiang, Shuang Zhang, Jianning Chi
Multi-Modal Brain Tumor Data Completion Based on Reconstruction Consistency Loss. J. Digit. Imaging 36 (4) (2023)
Yanhong Chen, Lijun Wang, Xue Dong, Ran Luo, Yaqiong Ge, Huanhuan Liu, Yuzhen Zhang, Dengbin Wang
Deep Learning Radiomics of Preoperative Breast MRI for Prediction of Axillary Lymph Node Metastasis in Breast Cancer. J. Digit. Imaging 36 (4) (2023)
Dalí F. D. dos Santos, Paulo Rogério de Faria, Bruno A. N. Travençolo, Marcelo Zanchetta do Nascimento
Influence of Data Augmentation Strategies on the Segmentation of Oral Histological Images Using Fully Convolutional Neural Networks. J. Digit. Imaging 36 (4) (2023)
Natália Santana Chiari-Correia, Marcello H. Nogueira-Barbosa, Rodolfo Dias Chiari-Correia, Paulo M. Azevedo-Marques
A 3D Radiomics-Based Artificial Neural Network Model for Benign Versus Malignant Vertebral Compression Fracture Classification in MRI. J. Digit. Imaging 36 (4) (2023)
Ruchika Gupta, Neeta Kumar, Shivani Bansal, Sompal Singh, Neelam Sood, Sanjay Gupta
Artificial Intelligence-driven Digital Cytology-based Cervical Cancer Screening: Is the Time Ripe to Adopt This Disruptive Technology in Resource-constrained Settings? A Literature Review. J. Digit. Imaging 36 (4) (2023)
Bing Cao, Bo Yuan, Guofeng Xu, Yin Zhao, Yanqing Sun, Zhiwei Wang, Shengyuan Zhou, Zheng Xu, Yao Wang, Xiongsheng Chen
A Pilot Human Cadaveric Study on Accuracy of the Augmented Reality Surgical Navigation System for Thoracolumbar Pedicle Screw Insertion Using a New Intraoperative Rapid Registration Method. J. Digit. Imaging 36 (4) (2023)
Ahsan Baidar Bakht, Sajid Javed, Syed Qasim Gilani, Hamad Karki, Muhammad Muneeb, Naoufel Werghi
DeepBLS: Deep Feature-Based Broad Learning System for Tissue Phenotyping in Colorectal Cancer WSIs. J. Digit. Imaging 36 (4) (2023)
Chao Fan, Zhixiang Chen, Xiao Wang, Zhihui Xuan, Zhentong Zhu
RTFusion: A Multimodal Fusion Network with Significant Information Enhancement. J. Digit. Imaging 36 (4) (2023)
Dewinda Julianensi Rumala, Peter M. A. van Ooijen, Reza Fuad Rachmadi, Anggraini Dwi Sensusiati, I Ketut Eddy Purnama
Deep-Stacked Convolutional Neural Networks for Brain Abnormality Classification Based on MRI Images. J. Digit. Imaging 36 (4) (2023)
Longxiu Qi, Xing Lu, Hailin Shen, Qilei Gao, Zhigang Han, Jianguo Zhu, You Meng, Linhua Wang, Shuangqing Chen, Yonggang Li
Automatic Classification of Mass Shape and Margin on Mammography with Artificial Intelligence: Deep CNN Versus Radiomics. J. Digit. Imaging 36 (4) (2023)
Kai Wang, Ping Jiang, Dali Kong, Beibei Sun, Ting Shen
Improving Accuracy of Pneumonia Classification Using Modified DenseNet. J. Digit. Imaging 36 (4) (2023)
Francisco Cunha, Valentin Blüml, Lydia M. Zopf, Andreas Walter, Michael Wagner, Wolfgang J. Weninger, Lucas A. Thomaz, Luis M. N. Tavora, Luís Alberto da Silva Cruz, Sérgio M. M. de Faria
Lossy Image Compression in a Preclinical Multimodal Imaging Study. J. Digit. Imaging 36 (4) (2023)
Yong-Tae Kim, Tae Seok Jeong, Young Jae Kim, Woo Seok Kim, Kwang Gi Kim, Gi Taek Yee
Automatic Spine Segmentation and Parameter Measurement for Radiological Analysis of Whole-Spine Lateral Radiographs Using Deep Learning and Computer Vision. J. Digit. Imaging 36 (4) (2023)
Yuyang Chen, Yiliang Wan, Feng Pan
Enhancing Multi-disease Diagnosis of Chest X-rays with Advanced Deep-learning Networks in Real-world Data. J. Digit. Imaging 36 (4) (2023)
Adarsh Ghosh, Daniella Patton, Saurav Bose, M. Katherine Henry, Minhui Ouyang, Hao Huang, Arastoo Vossough, Raymond W. Sze, Susan Sotardi, Michael L. Francavilla
A Patch-Based Deep Learning Approach for Detecting Rib Fractures on Frontal Radiographs in Young Children. J. Digit. Imaging 36 (4) (2023)

volume 36, number 6, 2023