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Publication search results
found 46 matches
- 2018
- Craig K. Abbey, Miguel A. Lago, Miguel P. Eckstein:
Observer templates in 2D and 3D localization tasks. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 105770T - Stephen H. Adamo, Matthew S. Cain, Stephen R. Mitroff:
Satisfaction at last: evidence for the 'satisfaction' account for multiple-target search errors. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 105770A - Majdi R. Alnowami, G. Mills, M. Awis, Premkumar Elangovan, Mishal N. Patel, Mark D. Halling-Brown, Kenneth Y. Young, David R. Dance, Kevin Wells:
A Deep Learning Model Observer for use in Alterative Forced Choice Virtual Clinical Trials. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 105770Q - Allan F. F. Alves, Ana Luiza Menegatti Pavan, Rachid Jennane, José R. A. Miranda, Carlos C. M. Freitas, Nitamar Abdala, Diana Rodrigues de Pina:
Ischemic stroke enhancement in computed tomography scans using a computational approach. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 1057716 - Junior Arroyo, Ana Cecilia Saavedra, Jorge Guerrero, Pilar Montenegro, Jorge Aguilar, Joseph A. Pinto, Julio Lobo, Tim Salcudean, Roberto J. Lavarello, Benjamín Castañeda:
Breast elastography: Identification of benign and malignant cancer based on absolute elastic modulus measurement using vibro-elastography. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 105771E - Alireza Nasiri Avanaki, Kathryn S. Espig, Albert Xthona, Tom R. L. Kimpe:
Towards a surround-aware numerical observer. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 105770R - Kheya Banerjee, Howard C. Gifford:
Lesion classification with a visual-search model observer. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 105770Y - Lucas R. Borges, Predrag R. Bakic, Andrew D. A. Maidment, Marcelo Andrade da Costa Vieira:
Restored low-dose digital breast tomosynthesis: a perception study. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 1057705 - Weijie Chen, Qi Gong, Brandon D. Gallas:
Efficiency gain of paired split-plot designs in MRMC ROC studies. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 105770F - Robin Decoster, Rachel Toomey, Marie-Louise Butler:
Do radiographers base the diagnostic acceptability of a radiograph on anatomical structures? Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 1057703 - Sandeep Dutta, Jiahua Fan, David Chevalier:
Study of CT image texture using deep learning techniques. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 1057712 - Miguel P. Eckstein, Miguel A. Lago, Craig K. Abbey:
Evaluation of search strategies for microcalcifications and masses in 3D images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 105770C - Ziba Gandomkar, Patrick C. Brennan, Claudia Mello-Thoms:
A cognitive approach to determine the benefits of pairing radiologists in mammogram reading. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 1057704 - A. Ganesan, Maram Alakhras, Patrick C. Brennan, Warwick B. Lee, Kriscia Tapia, Claudia Mello-Thoms:
Characteristics of the group of radiologists that benefits the most using Breast Screen Reader Assessment Strategy (BREAST). Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 1057718 - Zahra Ghanian, Aria Pezeshk, Nicholas Petrick, Berkman Sahiner:
Towards the use of computationally inserted lesions for mammographic CAD assessment. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 105770L - Howard C. Gifford, Mini Das:
Assessment of DBT acquisition parameters for 2D and 3D search tasks. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 105770I - Hao Gong, Lifeng Yu, Shuai Leng, Samantha K. Dilger, Wei Zhou, Liqiang Ren, Cynthia H. McCollough:
Correlation between model observers in uniform background and human observer in patient liver background for a low-contrast detection task in CT. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 105770M - Alexej Gossmann, Aria Pezeshk, Berkman Sahiner:
Test data reuse for evaluation of adaptive machine learning algorithms: over-fitting to a fixed 'test' dataset and a potential solution. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 105770K - David Gur:
Can a totally different approach to soft tissue computer aided detection CADE result in affecting radiologists' decisions? Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 105771B - David Gur, Kimberly Harnist, Terri-Ann Gizienski, Margarita L. Zuley, Christiane M. Hakim, Amy Lu, Jules H. Sumkin, Gordon Abrams, Marie A. Ganott, Amy E. Kelly, Cathy S. Tyma, Thomas S. Chang, Marcella Bhm-Vélez, Robin Sobolewski:
Can a limited double reading/second opinion of initially recalled breast ultrasound screening examinations improve radiologists' performances? Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 1057710 - Minah Han, Hanjoo Jang, Jongduk Baek:
Lesion detection performance of cone beam CT images with anatomical background noise: single-slice vs multi-slice human and model observer study. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 105770N - Georgia V. Ionescu, Elaine F. Harkness, Johan Hulleman, Susan M. Astley:
A citizen science approach to optimising computer aided detection (CAD) in mammography. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 105770Z - Pamela R. Jackson, Andrea Hawkins-Daarud, Savannah C. Partridge, Paul E. Kinahan, Kristin R. Swanson:
Simulating magnetic resonance images based on a model of tumor growth incorporating microenvironment. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 105771D - Marije E. Kamphuis, Gert Jan Pelgrim, Marcel J. W. Greuter, Riemer H. J. A. Slart, Cornelis H. Slump:
Development of a validation instrument in myocardial perfusion imaging: results of first flow experiments. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 1057714 - Zohreh Karbaschi, Howard C. Gifford:
Projection space model observers based on marginalized linear discriminants. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 1057717 - Amar Kavuri, Nathaniel R. Fredette, Mini Das:
Interaction of anatomic and quantum noise in DBT power spectrum. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 105770G - Gihun Kim, Hyunjung Shim, Jongduk Baek:
Feasibility study of deep convolutional generative adversarial networks to generate mammography images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 105771C - Felix K. Kopp, Marco Catalano, Daniela Pfeiffer, Ernst J. Rummeny, Peter B. Noël:
Evaluation of a machine learning based model observer for x-ray CT. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 105770S - Miguel A. Lago, Craig K. Abbey, Bruno Barufaldi, Predrag R. Bakic, Susan P. Weinstein, Andrew D. A. Maidment, Miguel P. Eckstein:
Interactions of lesion detectability and size across single-slice DBT and 3D DBT. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 105770X - Zhijin Li, Agnès Desolneux, Serge Muller, Pablo Milioni de Carvalho, Ann-Katherine Carton:
Comparison of microcalcification detectability in FFDM and DBT using a virtual clinical trial. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 105770D
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