Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

Keyphrases

Publications

2023

Scott S. Hsieh, Akitoshi Inoue, Mariana Yalon, David A. Cook, Jeff L. Fidler, Hao Gong, Parvathy Sudhir Pillai, Andrew J. Vercnocke, Matthew P. Johnson, Shuai Leng, Lifeng Yu, David R. Holmes III, Rickey E. Carter, Cynthia H. McCollough, Joel G. Fletcher
A training program to reduce reader search errors for liver metastasis detection in CT. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Dan Li, Eric Clarkson
Approximating the idea observer on list mode data with comparison to CNN methods. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Madeleine S. Durkee, Nevaeh Petrie, Kyle Lleras, Junting Ai, Rebecca Abraham, J. Cy Chittenden, Chasity Kasir, Fiona Clark, Gabriel Casella, Marcus R. Clark, Maryellen L. Giger
Convolutional neural networks detect cells in densely packed images at performance levels similar to human readers. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Yanchen Jessie Ou, Alina Jade Barnett, Anika Mitra, Fides Regina Schwartz, Chaofan Chen, Lars J. Grimm, Joseph Y. Lo, Cynthia Rudin
A user interface to communicate interpretable AI decisions to radiologists. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Fernanda J. F. Cardoso, Homero Schiabel
Comparative tests between actual and simulated digital mammography images for new computer schemes evaluation database. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Iman Bint Talha, Oanh T. M. Tran, Due T. Ong, Thuy T. Hoang, Tuan A. Khuong, Dennis Wong, Karen Ho, Natacha Borecky, Mary Rickard, Sarah Lewis, Patrick C. Brennan, Phuong Dung Trieu
A progress in diagnostic performances of Vietnamese doctors in reading mammograms with different Level of breast density via the VIETRAD program. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Luyan Yao, Jiefei Wei, Xin Chen, Yan Chen
Full-field digital mammogram retrieval using Fourier feature-based auto-encoder: application in breast cancer screening training. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Yanchen Ou, Alina Jade Barnett, Anika Mitra, Fides Regina Schwartz, Chaofan Chen, Lars J. Grimm, Joseph Y. Lo, Cynthia Rudin
A user interface to communicate interpretable AI decisions to radiologists (Erratum). Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Stephen L. Hillis, BaoLin Pauline Soh
Obuchowski-Rockette analysis for Multi-Reader Multi-Case (MRMC) readers-nested-in-test study design with unequal numbers of readers. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
George J. W. Partridge, Peter Phillips, Adnan Taib, Yan Chen
Challenges and solutions to processing and visualising eye tracking data from digital pathology studies. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers
Predictive accuracy of model observers in lesion discrimination tasks. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Steven A. Lewis, Scott Doyle
Attention-guided single-voxel attacks for 3-dimensional neural networks: experiments with post-mortem CT segmentation. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Lin Guo, Kunlei Hong, Qian Xiao, Lingjun Qian, Stefan Jaeger, Bin Zheng, Shenwen Quan, Li Xia, Guanxun Cheng, Y. M. Fleming Lure
Developing and assessing an AI-based multi-task prediction system to assist radiologists detecting lung diseases in reading chest x-ray images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Katherine Elfer, Victor Garcia, Brandon D. Gallas
Analysis of a pilot study collecting pathologist annotations for validating machine learning algorithms. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Myrthe A. D. Buser, Marc H. W. A. Wijnen, Alida F. W. van der Steeg, Bas H. M. van der Velden
Evaluation of multiparametric MRI for deep learning-based segmentation of Wilms tumor. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Manish Sharma, Sree Sudha Kota, Surabhi Bajpai, Kimberly Fernandes-Thomas, Madhuri Madasu, Yibin Shao, Rajesh Kaja, Rajesh Selvaraj, Kira Cheng, Joy Luo
Utilizing network analysis in blinded independent central review for clinical trials as adjudication agreement dashboard. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Kaiyan Li, Weimin Zhou, Hua Li, Mark A. Anastasio
Estimating task-based performance bounds for image reconstruction methods by use of learned-ideal observers. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Miguel A. Lago, Aldo Badano
Adaptive Laguerre-Gauss channels for detection and search of irregularly shaped lesions. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Lindsay Douglas, Trisha Mondal, Alexandra Edwards, Maryellen L. Giger
Influence of magnet strength on background parenchymal enhancement evaluation. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Tianrun Chen, Ying Zang, Jia Zhang, Delong Zhang
High-quality label-free prediction of fluorescence images through stimulated Raman scattering imaging and recurrent deep neural network. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Chumin Zhao, Ryan Beams, Aldo Badano
Spatiotemporal image quality in medical extended reality. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Kirsten L. Boedeker, Daniel W. Shin, Luuk J. Oostveen, Ioannis Sechopoulos, Craig K. Abbey
Discriminability of non-Gaussian noise properties in CT. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Manish Sharma, Madhuri Madasu, Surabhi Bajpai, Kimberly Fernandes-Thomas, Sree Sudha Kota, Yibin Shao, Rajesh Selvaraj, Rajesh Kaja, Kira Cheng, Joy Luo
Predictive adjudication rate modeling for prioritizing case distribution in BICR for oncology clinical trials. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Karen Drukker, Berkman Sahiner, Tingting Hu, Hyun J. Grace Kim, Heather M. Whitney, Natalie M. Baughan, Kyle J. Myers, Maryellen L. Giger, Michael F. McNitt-Gray
Assistance tools for the evaluation of machine learning algorithm performance: the decision tree-based tools developed by the Medical Imaging and Data Resource Center (MIDRC) Technology Development Project (TDP) 3c effort. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Adnan Taib, George Partridge, Iain T. Darker, Peter Phillips, Yan Chen
Identifying and preventing fatigue in digital breast tomosynthesis. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Christiane Posselt, Edith Gramotke, Abhijeet Parida, Mehmet Yigitsoy, Stefanie Remmele
Novel concept for systematic testing of AI models for MRI acquisition shifts with simulated data. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Ziba Gandomkar, Sarah J. Lewis, Somphone Siviengphanom, Dennis Wong, Ernest U. Ekpo, Moayyad E. Suleiman, Xuetong Tao, Warren M. Reed, Patrick C. Brennan
False-negative diagnosis might occur due to absence of the global radiomic signature of malignancy on screening mammograms. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Somphone Siviengphanom, Ziba Gandomkar, Sarah J. Lewis, Patrick C. Brennan
Global mammographic radiomic signature can predict radiologists' difficult-to-interpret normal cases. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Elly K. Gallagher, Phuong Dung Trieu, Ziba Gandomkar, Tong Li, Masoumeh Gity, Patrick C. Brennan, Sarah Lewis, Seyedamir Tavakoli Taba
A comparative study of diagnostic performance and work experience of radiologists in three countries interpreting digital breast tomosynthesis. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Zhengqiang Jiang, Phuong Dung Trieu, Ziba Gandomkar, Seyedamir Tavakoli Taba, Melissa L. Barron, Sarah J. Lewis
How do you solve a problem like concordance? a study of radiologists' clinical annotations for mammographic AI training. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Mark Steyvers
Human-AI collaboration (Conference Presentation). Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Jia Lin Chua, Qin Xiao, Tong Li, Yajia Gu, Melissa L. Robinson, Kriscia Tapia, Sarah Lewis, Phuong Dung Trieu
Diagnostic performance characteristics of Chinese radiologists in breast cancer detection with FFDM versus DBT images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Heather M. Whitney, Hui Li, Karen Drukker, Michael Reeve, Maryellen L. Giger
Investigation of demographic implicit discrimination and disparate impact in chest radiography image-based AI for COVID-19 severity prediction. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Hilary Cintia Djuikoua Wouafo, Julie Joncas, Marjolaine Roy-Beaudry, Soraya Barchi, Stefan Parent, Hubert Labelle, Luc Duong
Automatic assessment of skeletal maturity in adolescent idiopathic scoliosis patients using support vector regression on deep features. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Ziping Liu, Joyce C. Mhlanga, Barry A. Siegel, Abhinav K. Jha
Need for objective task-based evaluation of AI-based segmentation methods for quantitative PET. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Patrik Sund
Configuring medical displays for high- and stable-image contrast in bright rooms. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Weimin Zhou, Miguel P. Eckstein
Optimal visual search strategy with inter-saccade response correlations. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Xuetong Tao, Somphone Siviengphanom, Ziba Gandomkar, Tong Li, Warren M. Reed, Patrick C. Brennan
Investigating the error-making patterns in reading high-density screening mammograms between radiologists from two countries. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Stephen H. Adamo, Bruno Barufaldi, Miguel A. Lago
Comparing experts to novices: reduced satisfaction of search when searching with virtual breast tomosynthesis. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Varun A. Kelkar, Dimitrios S. Gotsis, Rucha Deshpande, Frank J. Brooks, Prabhat K. C., Kyle J. Myers, Rongping Zeng, Mark A. Anastasio
Evaluating generative stochastic image models using task-based image quality measures. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Tavianne M. Kemp, Tetsuya A. Kawakita, Rehan Mehta, Angel R. Pineda
Optimizing data acquisition in undersampled magnetic resonance imaging (MRI) using two alternative forced choice (2-AFC) and search tasks. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Asli Kumcu, Ljiljana Platisa, Bart Goossens, Amber J. Gislason-Lee, Andrew G. Davies, Gerard Schouten, Dimitri Buytaert, Klaus Bacher, Wilfried Philips
A visibility overshoot index for interventional x-ray image quality assessment. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Giulia de Donno, Kimberley M. Timmins, Hugo J. Kuijf
Assessment of cerebral vascular abnormality quantification technique to aid aneurysm localization. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Alireza Abdihamzehkolaei, Seyedehnafiseh Mirniaharikandehei, Angel Choquehuanca, Marco Aedo Lopez, Wilmer Pacheco, Laura Estacio, Victor Cahui, Luis Huallpa, Kevin Quiñonez, Valeria Calderón, Ana Maria Gutiérrez, Ana Vargas, Dery Gamero, Eveling Castro Gutierrez, Yuchen Qiu, Bin Zheng, Javier A. Jo
An observer comparison study to evaluate a machine learning model to quantify the infected pneumonia on lung CT images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Roberto Fedrigo, Fereshteh Yousefirizi, Ziping Liu, Abhinav K. Jha, Robert V. Bergen, Jean-François Rajotte, Raymond T. Ng, Ingrid Bloise, Sara Harsini, Dan J. Kadrmas, Carlos F. Uribe, Arman Rahmim
Observer study-based evaluation of TGAN architecture used to generate oncological PET images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Mostafa Abozeed, Tom Kimpe, Seth T. Lirette, Srini Tridandapani
Comparison of radiologists' interpretation efficiency with radiographs: standard 6 MP versus 12 MP high-resolution display monitors. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Weimin Zhou
Task-aware denoising autoencoders for establishing efficient channels. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Md. Ashequr Rahman, Zitong Yu, Barry A. Siegel, Abhinav K. Jha
A task-specific deep-learning-based denoising approach for myocardial perfusion SPECT. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Karen Drukker, Hui Li, Maryellen L. Giger
Longitudinal robustness of a thoracic radiographic AI model for COVID-19 severity prediction. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)

volume 12467, 2023

Medical Imaging 2023: Image Perception, Observer Performance, and Technology Assessment, San Diego, CA, USA, February 21-23, 2023 Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 12467 (2023)