B. Gallas

发表

Three-Class ROC Analysis—Toward a General Decision Theoretic Solution

Xin He, Eric C. Frey, Brandon D. Gallas, 2010, IEEE Transactions on Medical Imaging.

Brandon D. Gallas, Gene A. Pennello, B. Gallas, 2007, SPIE Medical Imaging.

A Framework for Random-Effects ROC Analysis: Biases with the Bootstrap and Other Variance Estimators

R. F. Wagner, Andriy I. Bandos, B. Gallas, 2009 .

Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group

Andrew H. Beck, Jacqueline A. Hall, Sarah N. Dudgeon, 2020, npj Breast Cancer.

The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models

Kevin C. Dorff, Aaron M. Smalter, Stephen C. Harris, 2010, Nature Biotechnology.

A method to estimate the point response function of digital x-ray detectors from edge measurements

Kyle J. Myers, Aldo Badano, Brandon D. Gallas, 2007, SPIE Medical Imaging.

The equivalence of a human observer and an ideal observer in binary diagnostic tasks

Frank W. Samuelson, Kyle J. Myers, Berkman Sahiner, 2013, Medical Imaging.

Statistical power considerations for a utility endpoint in observer performance studies.

Brandon D Gallas, Craig K Abbey, Frank W Samuelson, 2013, Academic radiology.

Modeling all orders of scatter in nuclear medicine

H. Barrett, B. Gallas, 1998, 1998 IEEE Nuclear Science Symposium Conference Record. 1998 IEEE Nuclear Science Symposium and Medical Imaging Conference (Cat. No.98CH36255).

Application of a risk-management framework for integration of stromal tumor-infiltrating lymphocytes in clinical trials

Jacqueline A. Hall, Sarah N. Dudgeon, A. Gown, 2020, npj Breast Cancer.

Scattered Radiation in Nuclear Medicine: A Case Study on the Boltzmann Transport Equation

H. Barrett, E. Clarkson, B. Gallas, 1999 .

On the assessment of the added value of new predictive biomarkers

Berkman Sahiner, Nicholas Petrick, Brandon D Gallas, 2013, BMC Medical Research Methodology.

Registration accuracy between whole slide images and glass slides in eeDAP workflow

Marios A. Gavrielides, Qi Gong, Brandon D. Gallas, 2018, Medical Imaging.

Display colour scale effects on diagnostic performance and reader agreement in cardiac CT and prostate apparent diffusion coefficient assessment.

B. Gallas, A. Badano, S. Lucarini, 2019, Clinical radiology.

PATHOLOGY INFORMATICS SUMMIT 2018

David E. Breen, William B. Lober, Hamid R. Tizhoosh, 2018, Journal of Pathology Informatics.

Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer

Andrew H. Beck, Jacqueline A. Hall, Sarah N. Dudgeon, 2020, npj Breast Cancer.

Using ANOVA/random-effects variance estimates to compute a two-sample U-statistic of order (1,1) estimate of variance

B. Gallas, F. Samuelson, Lucas Tcheuko, 2016 .

Development of Training Materials for Pathologists to Provide Machine Learning Validation Data of Tumor-Infiltrating Lymphocytes in Breast Cancer

B. Gallas, M. Hanna, R. Salgado, 2022, Cancers.

Single reader between-cases AUC estimator with nested data.

B. Gallas, Hongfei Du, Si Wen, 2022, Statistical methods in medical research.

Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer

Andrew H. Beck, Jacqueline A. Hall, A. Beck, 2020, npj Breast Cancer.

Sensitivity of Time-Resolved Fluorescence Analysis Methods for Disease Detection

B. Gallas, T. Pfefer, A. Agrawal, 2010, IEEE Journal of Selected Topics in Quantum Electronics.

Pilot study to evaluate tools to collect pathologist annotations for validating machine learning algorithms

Rajarsi R. Gupta, Sarah N. Dudgeon, E. Hytopoulos, 2022, Journal of medical imaging.

Statistical properties of a utility measure of observer performance compared to area under the ROC curve

Craig K. Abbey, Frank W. Samuelson, John M. Boone, 2013, Medical Imaging.

Uncertainty estimation with a finite dataset in the assessment of classification models

Rong Tang, Weijie Chen, Brandon D. Gallas, 2012, Comput. Stat. Data Anal..

Validation of mitotic cell quantification via microscopy and multiple whole-slide scanners

Yukako Yagi, Brandon D. Gallas, Sahussapont Joseph Sirintrapun, 2019, Diagnostic Pathology.

Agreement in Histological Assessment of Mitotic Activity Between Microscopy and Digital Whole Slide Images Informs Conversion for Clinical Diagnosis

Stephen M. Hewitt, Brandon D. Gallas, Qi Gong, 2019, Academic pathology.

Comparing two correlated C indices with right‐censored survival outcome: a one‐shot nonparametric approach

Brandon D Gallas, Le Kang, Weijie Chen, 2015, Statistics in medicine.

Exact Confidence Intervals for Channelized Hotelling Observer Performance in Image Quality Studies

Adam Wunderlich, Brandon D. Gallas, Marta E. Heilbrun, 2015, IEEE Transactions on Medical Imaging.

Scoring of tumor-infiltrating lymphocytes: From visual estimation to machine learning.

K-R Müller, S Michiels, F Klauschen, 2018, Seminars in cancer biology.

The tale of TILs in breast cancer: A report from The International Immuno-Oncology Biomarker Working Group

Andrew H. Beck, Clare C. Yu, M. N. Vidya, 2021, npj Breast Cancer.

Classifier variability: Accounting for training and testing

Weijie Chen, Brandon D. Gallas, Waleed A. Yousef, 2012, Pattern Recognit..

Evaluating imaging and computer-aided detection and diagnosis devices at the FDA.

Kyle J Myers, Berkman Sahiner, Heang-Ping Chan, 2012, Academic radiology.

MDDT proposal for eeDAP : evaluation environment for digital and analog pathology 9 January 2017 1 Authors and Affiliation

B. Gallas, Qi Gong, 2017 .

Observer Performance in the Use of Digital and Optical Microscopy for the Interpretation of Tissue-Based Biomarkers

Marios A. Gavrielides, Stephen M. Hewitt, Brandon D. Gallas, 2014, Analytical cellular pathology.

Evaluation environment for digital and analog pathology: a platform for validation studies

Wei-Chung Cheng, Jason Hipp, Marios A Gavrielides, 2014, Journal of medical imaging.

eeDAP: an evaluation environment for digital and analog pathology

Wei-Chung Cheng, Jason Hipp, Adam Wunderlich, 2014, Medical Imaging.

Observer variability in the interpretation of HER2/neu immunohistochemical expression with unaided and computer-aided digital microscopy.

Aldo Badano, Marios A Gavrielides, Brandon D Gallas, 2011, Archives of pathology & laboratory medicine.

A Pathologist-Annotated Dataset for Validating Artificial Intelligence: A Project Description and Pilot Study

Australia, Steven N. Hart, Anant Madabhushi, 2020, Journal of pathology informatics.

Application of a risk-management framework for integration of stromal tumor-infiltrating lymphocytes in clinical trials

Jacqueline A. Hall, Sarah N. Dudgeon, A. Gown, 2020, npj Breast Cancer.

A Regulatory Science Initiative to Harmonize and Standardize Digital Pathology and Machine Learning Processes to Speed up Clinical Innovation to Patients

Ashish Sharma, Amanda Lowe, Brandon D. Gallas, 2020, Journal of pathology informatics.

Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group.

Sarah N. Dudgeon, A. Beck, T. Nielsen, 2020, NPJ breast cancer.

Lubberts effect in columnar phosphors.

Kyle J Myers, Aldo Badano, Brandon D Gallas, 2004, Medical physics.

Impact of prevalence and case distribution in lab-based diagnostic imaging studies

Kyle J Myers, Berkman Sahiner, Brandon D Gallas, 2019, Journal of medical imaging.

Advancing Research on Medical Image Perception by Strengthening Multidisciplinary Collaboration.

J. Wolfe, T. Horowitz, S. Seltzer, 2022, JNCI cancer spectrum.

Assessing color reproducibility of whole-slide imaging scanners

Marios A. Gavrielides, Wei-Chung Cheng, Aldo Badano, 2013, Medical Imaging.

Incorporating Human Contrast Sensitivity in Model Observers for Detection Tasks

Kyle J. Myers, Aldo Badano, Subok Park, 2009, IEEE Transactions on Medical Imaging.

Stabilized estimates of Hotelling-observer detection performance in patient-structured noise

Craig K. Abbey, Miguel P. Eckstein, Harrison H. Barrett, 1998, Medical Imaging.

Leveraging the Digital Mammography Image Screening Trial (DMIST) Data for the Evaluation of Computer-Aided Detection (CAD) Devices: A Proposal

Frank W. Samuelson, Kyle J. Myers, R. F. Wagner, 2006, Digital Mammography / IWDM.

FDA fosters innovative approaches in research, resources and collaboration

B. Gallas, A. Badano, S. Dudgeon, 2022, Nature Machine Intelligence.

Regulatory considerations for medical imaging AI/ML devices in the United States: concepts and challenges.

Ravi K. Samala, N. Petrick, B. Sahiner, 2023, Journal of medical imaging.

Three-Way Mixed Effect ANOVA to Estimate MRMC Limits of Agreement

B. Gallas, Si Wen, 2021, Statistics in Biopharmaceutical Research.

Efficiency gain of paired split-plot designs in MRMC ROC studies

Qi Gong, Weijie Chen, Brandon D. Gallas, 2018, Medical Imaging.

Multireader multicase reader studies with binary agreement data: simulation, analysis, validation, and sizing

Adam Wunderlich, Weijie Chen, Brandon D Gallas, 2014, Journal of medical imaging.

Multi-reader ROC studies with split-plot designs: a comparison of statistical methods.

Nancy A Obuchowski, Brandon D Gallas, Stephen L Hillis, 2012, Academic radiology.

Multireader multicase variance analysis for binary data.

Kyle J Myers, Brandon D Gallas, Gene A Pennello, 2007, Journal of the Optical Society of America. A, Optics, image science, and vision.

One-shot estimate of MRMC variance: AUC.

Brandon D Gallas, B. Gallas, 2006, Academic radiology.

Computerized characterization of lung nodule subtlety using thoracic CT images

Berkman Sahiner, Xin He, Weijie Chen, 2014, Physics in medicine and biology.

METHODS FOR MRMC ROC ANALYSIS AND COMPONENTS-OFVARIANCE MODELING USING COLPOSCOPY IMAGES

Jose Jeronimo, Brandon D. Gallas, Elizabeth R. Hsu, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models

Todd H. Stokes, Kevin C. Dorff, Aaron M. Smalter, 2010, Nature Biotechnology.

Validating the use of channels to estimate the ideal linear observer.

Harrison H Barrett, Brandon D Gallas, H. Barrett, 2003, Journal of the Optical Society of America. A, Optics, image science, and vision.

Singular value description of a digital radiographic detector: theory and measurements.

Kyle J Myers, Aldo Badano, Brandon D Gallas, 2008, Medical physics.