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Publication search results
found 217 matches
- 2023
- Fariha Aamir, Ibtisam Aslam, Madiha Arshad, Hammad Omer:
Accelerated Diffusion-Weighted MR Image Reconstruction Using Deep Neural Networks. J. Digit. Imaging 36(1): 276-288 (2023) - Hazique Aetesam, Suman Kumar Maji:
Perceptually Motivated Generative Model for Magnetic Resonance Image Denoising. J. Digit. Imaging 36(2): 725-738 (2023) - Nuran Akyurt:
Radiology Technologists' Perspective on Medical Imaging Device Use and Related Technologies: a Cross-sectional Survey with Respect to Hospital Type. J. Digit. Imaging 36(1): 38-44 (2023) - Tuikku Anttila, Teemu V. Karjalainen, Teemu Mäkelä, Eero M. Waris, Nina C. Lindfors, Miika Leminen, Jorma O. Ryhänen:
Detecting Distal Radius Fractures Using a Segmentation-Based Deep Learning Model. J. Digit. Imaging 36(2): 679-687 (2023) - Yueyuan Ao, Hong Wu:
Feature Aggregation and Refinement Network for 2D Anatomical Landmark Detection. J. Digit. Imaging 36(2): 547-561 (2023) - Ridhi Arora, Balasubramanian Raman:
BUS-Net: Breast Tumour Detection Network for Ultrasound Images Using Bi-directional ConvLSTM and Dense Residual Connections. J. Digit. Imaging 36(2): 627-646 (2023) - Dinesh Kumar Atal:
Optimal Deep CNN-Based Vectorial Variation Filter for Medical Image Denoising. J. Digit. Imaging 36(3): 1216-1236 (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): 1653-1662 (2023) - Imon Banerjee, Melissa A. Davis, Brianna L. Vey, Sina Mazaheri, Fiza Khan, Vaz Zavaletta, Roger Gerard, Judy Wawira Gichoya, Bhavik N. Patel:
Natural Language Processing Model for Identifying Critical Findings - A Multi-Institutional Study. J. Digit. Imaging 36(1): 105-113 (2023) - Soham Banerjee, Theresa X. Pham, Adriene Eastaway, William F. Auffermann, Edward P. Quigley:
The Use of Virtual Reality in Teaching Three-Dimensional Anatomy and Pathology on CT. J. Digit. Imaging 36(3): 1279-1284 (2023) - Filippo Bargagna, Lisa Anita De Santi, Nicola Martini, Dario Genovesi, Brunella Favilli, Giuseppe Vergaro, Michele Emdin, Assuero Giorgetti, Vincenzo Positano, Maria Filomena Santarelli:
Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios. J. Digit. Imaging 36(6): 2567-2577 (2023) - Lev Barinov, Ajit Jairaj, William D. Middleton, Michael D., Beland, Jonathan Kirsch, Ross W. Filice, Jordi L. Reverter, Iñaki Arguelles, Edward G. Grant:
Improving the Efficacy of ACR TI-RADS Through Deep Learning-Based Descriptor Augmentation. J. Digit. Imaging 36(6): 2392-2401 (2023) - Vidhi Bishnoi, Nidhi Goel:
Tensor-RT-Based Transfer Learning Model for Lung Cancer Classification. J. Digit. Imaging 36(4): 1364-1375 (2023) - Hamidreza Bolhasani, Somayyeh Jafarali Jassbi, Arash Sharifi:
DLA-H: A Deep Learning Accelerator for Histopathologic Image Classification. J. Digit. Imaging 36(2): 433-440 (2023) - S. Boopathiraja, P. Kalavathi, S. Deoghare, V. B. Surya Prasath:
Near Lossless Compression for 3D Radiological Images Using Optimal Multilinear Singular Value Decomposition (3D-VOI-OMLSVD). J. Digit. Imaging 36(1): 259-275 (2023) - Juliana Simeão Borges, Vitor Cardoso Costa, Milena Suemi Irie, Gabriella Lopes de Rezende Barbosa, Rubens Spin-Neto, Priscilla Barbosa Ferreira Soares:
Definition of the Region of Interest for the Assessment of Alveolar Bone Repair Using Micro-computed Tomography. J. Digit. Imaging 36(1): 356-364 (2023) - Sema Candemir, Robert Moranville, Kelvin A. Wong, Warren Campbell, Matthew T. Bigelow, Luciano M. Prevedello, Mina S. Makary:
Detecting and Characterizing Inferior Vena Cava Filters on Abdominal Computed Tomography with Data-Driven Computational Frameworks. J. Digit. Imaging 36(6): 2507-2518 (2023) - Shixing Cao, Nicholas Konz, James S. Duncan, Maciej A. Mazurowski:
Deep Learning for Breast MRI Style Transfer with Limited Training Data. J. Digit. Imaging 36(2): 666-678 (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): 1919-1929 (2023) - Anith Chacko, Phassawan Rungsiprakarn, Ivan Erlic, Ngoc Jade Thai, Savvas Andronikou:
Fidelity of 3D Printed Brains from MRI Scan in Children with Pathology (Prior Hypoxic Ischemic Injury). J. Digit. Imaging 36(1): 17-28 (2023) - Pierre J. Chambon, Tessa Sundaram Cook, Curtis P. Langlotz:
Improved Fine-Tuning of In-Domain Transformer Model for Inferring COVID-19 Presence in Multi-Institutional Radiology Reports. J. Digit. Imaging 36(1): 164-177 (2023) - Qing Chang, Chenhao Lu, Mengke Li:
Cascading Affine and B-spline Registration Method for Large Deformation Registration of Lung X-rays. J. Digit. Imaging 36(3): 1262-1278 (2023) - Zihang Chen, Jiafei Chen, Jun Zhao, Bowei Liu, Shuanglong Jiang, Dongyue Si, Haiyan Ding, Yongjian Nian, Xiaochao Yang, Jingjing Xiao:
What Matters in Radiological Image Segmentation? Effect of Segmentation Errors on the Diagnostic Related Features. J. Imaging Inform. Medicine 36(5): 2088-2099 (2023) - Mingming Chen, Yujie Guo, Pengcheng Wang, Qi Chen, Lu Bai, Shaobin Wang, Ya Su, Lizhen Wang, Guanzhong Gong:
An Effective Approach to Improve the Automatic Segmentation and Classification Accuracy of Brain Metastasis by Combining Multi-phase Delay Enhanced MR Images. J. Digit. Imaging 36(4): 1782-1793 (2023) - Yang Chen, Xuewen Hou, Yifeng Yang, Qianqian Ge, Yan Zhou, Shengdong Nie:
A Novel Deep Learning Model Based on Multi-Scale and Multi-View for Detection of Pulmonary Nodules. J. Digit. Imaging 36(2): 688-699 (2023) - Hua Chen, Minglun Ma, Gang Liu, Ying Wang, Zhihao Jin, Chong Liu:
Breast Tumor Classification in Ultrasound Images by Fusion of Deep Convolutional Neural Network and Shallow LBP Feature. J. Digit. Imaging 36(3): 932-946 (2023) - Zhaolin Chen, Kamlesh Pawar, Mevan Ekanayake, Cameron Pain, Shenjun Zhong, Gary F. Egan:
Deep Learning for Image Enhancement and Correction in Magnetic Resonance Imaging - State-of-the-Art and Challenges. J. Digit. Imaging 36(1): 204-230 (2023) - Xue Chen, Yanjun Peng, Dapeng Li, Jindong Sun:
DMCA-GAN: Dual Multilevel Constrained Attention GAN for MRI-Based Hippocampus Segmentation. J. Digit. Imaging 36(6): 2532-2553 (2023) - Tseng-Tse Chen, Ying-Chou Sun, Woei-Chyn Chu, Chung-Yueh Lien:
BlueLight: An Open Source DICOM Viewer Using Low-Cost Computation Algorithm Implemented with JavaScript Using Advanced Medical Imaging Visualization. J. Digit. Imaging 36(2): 753-763 (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): 1323-1331 (2023)
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