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Publication search results
found 49 matches
- 2022
- Kaiyan Li, Hua Li, Mark A. Anastasio:
A task-informed model training method for deep neural network-based image denoising. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - Ming Li, Nicole Varble, Baris Turkbey, Sheng Xu, Bradford J. Wood:
Camera-based distance detection and contact tracing to monitor potential spread of COVID-19. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - Craig K. Abbey, Junyuan Li, Grace J. Gang, J. Webster Stayman:
Assessment of boundary discrimination performance in a printed phantom. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - Craig K. Abbey, Sourya Sengupta, Weimin Zhou, Andreu Badal, Rongping Zeng, Frank W. Samuelson, Miguel P. Eckstein, Kyle J. Myers, Mark A. Anastasio, Jovan G. Brankov:
Analyzing neural networks applied to an anatomical simulation of the breast. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - Areej S. Aloufi, Abdulrahman AlNaeem, Abeer Almousa, Mehreen Malik, Amani Hashem, Fatina Altahan, Mahmoud Elsharkawi, Manal ElMahdy, Reham Altokhais, Sara Alsultan, Rasha Sahloul, Khaled Alzimami, Steven Squires, Elaine F. Harkness, Susan M. Astley:
Breast density distribution among the Saudi screening population and correlation between radiologist visual assessment and two automated methods. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - Alina Jade Barnett, Vaibhav Sharma, Neel Gajjar, Jerry Fang, Fides Regina Schwartz, Chaofan Chen, Joseph Y. Lo, Cynthia Rudin:
Interpretable deep learning models for better clinician-AI communication in clinical mammography. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - Natalie M. Baughan, Heather M. Whitney, Karen Drukker, Berkman Sahiner, Tingting Hu, Hyun J. Grace Kim, Michael F. McNitt-Gray, Kyle J. Myers, Maryellen L. Giger:
Sequestration of imaging studies in MIDRC: a multi-institutional data commons. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - Satvika Bharadwaj, Komal N. Shah, Yifan Zhao, Aparna Harindranath, Arun George, Kajoli Banerjee Krishnan, Manish Arora:
Semi-blinded freehand 3D ultrasound with novice users. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - Darrin W. Byrd, Dennis Bontempi, Hao Yang, Hugo J. W. L. Aerts, Binzhang Zhao, Andrey Fedorov, Lawrence H. Schwartz, Tavis Allison, Chaya Moscowitz, Paul E. Kinahan:
Using virtual clinical trials to determine the accuracy of AI-based quantitative imaging biomarkers in oncology trials using standard-of-care CT. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - Wing Lam Chiu, Tong Li, Sarah J. Lewis:
Diagnostic efficacy in screening mammograms does not improve with peer reading strategy: a Sino-Australian study. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - Gopichandh Danala, Seyedehnafiseh Mirniaharikandehei, Meredith A. Jones, Tiancheng Gai, Sai Kiran Reddy Maryada, Dee Wu, Yuchen Qiu, Bin Zheng:
Developing interactive computer-aided detection tools to support translational clinical research. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - Gopichandh Danala, Sai Kiran Reddy Maryada, Huong Pham, Warid Islam, Meredith A. Jones, Bin Zheng:
Comparison of performance in breast lesions classification using radiomics and deep transfer learning: an assessment study. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - Ziba Gandomkar, Somphone Siviengphanom, Moayyad E. Suleiman, Dennis Wong, Warren M. Reed, Ernest U. Ekpo, Dong Xu, Sarah J. Lewis, Patrick C. Brennan:
The reliability of radiologists' first impression interpreting a screening mammogram. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - Jason L. Granstedt, Fu Li, Umberto Villa, Mark A. Anastasio:
Learned Hotelling observers for use with multi-modal data. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - Minah Han, Jongduk Baek:
Low-dose CT denoising via CNN trained using images with activation map. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - Ayaan Haque, Adam S. Wang, Abdullah-Al-Zubaer Imran:
Noise2Quality: non-reference, pixel-wise assessment of low dose CT image quality. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - Irene Hernández-Girón, Touko Kaasalainen, Teemu Mäkelä, Juha I. Peltonen, Mika Kortesniemi:
Influence of deep learning reconstruction on task-based model observer performance in CT: an anthropomorphic head phantom study. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - Stephen L. Hillis:
Identical-test Roe and Metz simulation model for validating multi-reader methods of analysis for comparing different radiologic imaging modalities. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - Katharina Hoebel, Christopher P. Bridge, Sara Ahmed, Oluwatosin Akintola, Caroline Chung, Raymond Y. Huang, Jason Johnson, Albert Kim, K. Ina Ly, Ken Chang, Jay B. Patel, Marco Pinho, Tracy Batchelor, Bruce R. Rosen, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer:
Is this good enough? On expert perception of brain tumor segmentation quality. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Kyle J. Myers, Prabhat K. C., Rongping Zeng, Mark A. Anastasio:
Evaluating procedures for establishing generative adversarial network-based stochastic image models in medical imaging. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - Elizabeth A. Krupinski:
In between are the doors of perception. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - Wonkyeong Lee, Eunbyeol Cho, Wonjin Kim, Jang-Hwan Choi:
Performance evaluation of image quality metrics for perceptual assessment of low-dose computed tomography images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - Dan Li, Eric Clarkson:
Performance of list mode Hotelling observer and comparison to a neural network observer. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - Ziping Liu, Zekun Li, Joyce C. Mhlanga, Barry A. Siegel, Abhinav K. Jha:
No-gold-standard evaluation of quantitative imaging methods in the presence of correlated noise. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - Emily L. Marshall, Daniela Olivera Velarde, Natalie M. Baughan, Nikolaj Reiser, Chao Guo, Juan-Pablo Cruz-Bastida, Kate A. Feinstein, Ingrid S. Reiser:
Task-specific evaluation of clinical pediatric fluoroscopy systems. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - Seyedehnafiseh Mirniaharikandehei, Alan B. Hollingsworth, Meredith A. Jones, Hong Liu, Yuchen Qiu, Bin Zheng:
Assessment of a new CAD-generated imaging marker to predict risk of having mammography-occult tumors. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - Don J. Nocum, John W. Robinson, Mark Halaki, Magnus Båth, Nejc Mekis, Eisen Liang, Nadine Thompson, Michelle Moscova, Warren M. Reed:
Visual grading characteristic (VGC) analysis of uterine artery embolisation (UAE) image quality assessment by interventional radiologists and interventional radiographers. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - Alexandra G. O'Neill, Sajan Goud Lingala, Angel R. Pineda:
Predicting human detection performance in magnetic resonance imaging (MRI) with total variation and wavelet sparsity regularizers. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - Gregory Ongie, Emil Y. Sidky, Ingrid S. Reiser, Xiaochuan Pan:
Optimizing model observer performance in learning-based CT reconstruction. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - Luuk J. Oostveen, Kirsten L. Boedeker, Daniel W. Shin, Craig K. Abbey, Ioannis Sechopoulos:
Visibility of noise texture changes in CT images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022
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