Maryellen L. Giger
Orcid: 0000-0001-5482-9728
According to our database1,
Maryellen L. Giger
authored at least 160 papers
between 1990 and 2023.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 2016, "For contributions to computer-aided biomedical imaging and diagnosis".
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
-
on id.loc.gov
-
on d-nb.info
On csauthors.net:
Bibliography
2023
Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx.
CoRR, 2023
Investigation of demographic implicit discrimination and disparate impact in chest radiography image-based AI for COVID-19 severity prediction.
Proceedings of the Medical Imaging 2023: Image Perception, 2023
Convolutional neural networks detect cells in densely packed images at performance levels similar to human readers.
Proceedings of the Medical Imaging 2023: Image Perception, 2023
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.
Proceedings of the Medical Imaging 2023: Image Perception, 2023
Longitudinal robustness of a thoracic radiographic AI model for COVID-19 severity prediction.
Proceedings of the Medical Imaging 2023: Image Perception, 2023
Proceedings of the Medical Imaging 2023: Image Perception, 2023
Assessing robustness of a deep-learning model for COVID-19 classification on chest radiographs.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Assessing an AI-based smart imagery framing and truthing (SIFT) system to assist radiologists annotating lung abnormalities on chest x-ray images for development of deep learning models.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Novel integration of radiomics and deep transfer learning for diagnosis of indeterminate thyroid nodules on ultrasound.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Proceedings of the 19th IEEE International Conference on e-Science, 2023
2022
Case-based repeatability and operating point variability of AI: breast lesion classification based on deep transfer learning.
Proceedings of the Medical Imaging 2022: Image Perception, 2022
Proceedings of the Medical Imaging 2022: Image Perception, 2022
Effect of different molecular subtype reference standards in AI training: implications for DCE-MRI radiomics of breast cancers.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Association between DCE MRI background parenchymal enhancement and mammographic texture features.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
2021
Anatomic Point-Based Lung Region with Zone Identification for Radiologist Annotation and Machine Learning for Chest Radiographs.
J. Digit. Imaging, 2021
Comparison of diagnostic performances, case-based repeatability, and operating sensitivity and specificity in classification of breast lesions using DCE-MRI.
Proceedings of the Medical Imaging 2021: Image Perception, 2021
Radiomic texture analysis of immunofluorescence images of lupus nephritis biopsies to predict patient progression to end-stage renal disease.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021
Managing class imbalance and differential staining of immune cell populations in multi-class instance segmentation of multiplexed immunofluorescence images of Lupus Nephritis biopsies.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021
Application and generalizability of U-Net segmentation of immune cells in inflamed tissue.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021
Role of standard and soft tissue chest radiography images in COVID-19 diagnosis using deep learning.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Radiomic texture analysis for the assessment of osteoporosis on low-dose thoracic CT scans.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Parenchymal field effect analysis for breast cancer risk assessment: evaluation of FFDM radiomic similarity.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Case-based diagnostic classification repeatability using radiomic features extracted from full-field digital mammography images of breast lesions.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
2020
Comparison of Breast MRI Tumor Classification Using Human-Engineered Radiomics, Transfer Learning From Deep Convolutional Neural Networks, and Fusion Method.
Proc. IEEE, 2020
Towards understanding perception in the latest era of AI in medical imaging (Conference Presentation).
Proceedings of the Medical Imaging 2020: Image Perception, 2020
Proceedings of the Medical Imaging 2020: Image Perception, 2020
Repeatability profiles towards consistent sensitivity and specificity levels for machine learning on breast DCE-MRI.
Proceedings of the Medical Imaging 2020: Image Perception, 2020
Network output visualization to uncover limitations of deep learning detection of pneumothorax.
Proceedings of the Medical Imaging 2020: Image Perception, 2020
Improved instance segmentation of immune cells in human lupus nephritis biopsies with Mask R-CNN.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Preliminary radiomic texture analysis of high-channel fluorescence confocal images of triple-negative breast cancer biopsies.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Improvement of classification performance using harmonization across field strength of radiomic features extracted from DCE-MR images of the breast.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Case-based repeatability of machine learning classification performance on breast MRI.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Using ResNet feature extraction in computer-aided diagnosis of breast cancer on 927 lesions imaged with multiparametric MRI.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Cascade of U-Nets in the detection and classification of coronary artery calcium in thoracic low-dose CT.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Deep learning predicts breast cancer recurrence in analysis of consecutive MRIs acquired during the course of neoadjuvant chemotherapy.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Deep learning for pneumothorax detection and localization using networks fine-tuned with multiple institutional datasets.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
Transfer Learning in 4D for Breast Cancer Diagnosis using Dynamic Contrast-Enhanced Magnetic Resonance Imaging.
CoRR, 2019
Effect of diversity of patient population and acquisition systems on the use of radiomics and machine learning for classification of 2, 397 breast lesions.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Temporal mammographic registration for evaluation of architecture changes in cancer risk assessment.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Radiomics and deep learning of diffusion-weighted MRI in the diagnosis of breast cancer.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Detection and classification of coronary artery calcifications in low dose thoracic CT using deep learning.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Breast MRI radiomics for the pre-treatment prediction of response to neoadjuvant chemotherapy in node-positive breast cancer patients.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Evaluating deep learning techniques for dynamic contrast-enhanced MRI in the diagnosis of breast cancer.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
2018
Simultaneous segmentation and classification of multichannel immuno-fluorescently labeled confocal microscopy images using deep convolutional neural networks.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018
Robustness of radiomic breast features of benign lesions and luminal A cancers across MR magnet strengths.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Transfer learning with convolutional neural networks for lesion classification on clinical breast tomosynthesis.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Temporal assessment of radiomic features on clinical mammography in a high-risk population.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Deep learning in breast cancer risk assessment: evaluation of fine-tuned convolutional neural networks on a clinical dataset of FFDMs.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Variations in algorithm implementation among quantitative texture analysis software packages.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Radiomics for ultrafast dynamic contrast-enhanced breast MRI in the diagnosis of breast cancer: a pilot study.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Optical detection of oral carcinoma via structured illumination fluorescence lifetime imaging.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018
Effect of biopsy on the MRI radiomics classification of benign lesions and luminal A cancers.
Proceedings of the 14th International Workshop on Breast Imaging, 2018
Deep learning in computer-aided diagnosis incorporating mammographic characteristics of both tumor and parenchyma stroma.
Proceedings of the 14th International Workshop on Breast Imaging, 2018
2017
Comparison of breast DCE-MRI contrast time points for predicting response to neoadjuvant chemotherapy using deep convolutional neural network features with transfer learning.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Performance comparison of deep learning and segmentation-based radiomic methods in the task of distinguishing benign and malignant breast lesions on DCE-MRI.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
2016
Quantitative breast MRI radiomics for cancer risk assessment and the monitoring of high-risk populations.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Identification, segmentation, and characterization of microcalcifications on mammography.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Computerized segmentation algorithm with personalized atlases of murine MRIs in a SV40 large T-antigen mouse mammary cancer model.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016
Proceedings of the Breast Imaging, 2016
Energy Dependence of Water and Lipid Calibration Materials for Three-Compartment Breast Imaging.
Proceedings of the Breast Imaging, 2016
2014
Level Set Segmentation of Breast Masses in Contrast-Enhanced Dedicated Breast CT and Evaluation of Stopping Criteria.
J. Digit. Imaging, 2014
Roles of biologic breast tissue composition and quantitative image analysis of mammographic images in breast tumor characterization.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014
Compositional Three-Component Breast Imaging of Fibroadenoma and Invasive Cancer Lesions: Pilot Study.
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014
Quantitative MRI Phenotyping of Breast Cancer across Molecular Classification Subtypes.
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014
2013
Quantitative ultrasound image analysis of axillary lymph node status in breast cancer patients.
Int. J. Comput. Assist. Radiol. Surg., 2013
A study of T2-weighted MR image texture features and diffusion-weighted MR image features for computer-aided diagnosis of prostate cancer.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
2012
Computerized Analysis of Mammographic Parenchymal Patterns on a Large Clinical Dataset of Full-Field Digital Mammograms: Robustness Study with Two High-Risk Datasets.
J. Digit. Imaging, 2012
Computerized image analysis of cell-cell interactions in human renal tissue by using multi-channel immunoflourescent confocal microscopy.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
Evaluation of stopping criteria for level set segmentation of breast masses in contrast-enhanced dedicated breast CT.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
Level Set Breast Mass Segmentation in Contrast-Enhanced and Non-Contrast-Enhanced Breast CT.
Proceedings of the Breast Imaging, 2012
2011
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Comparison of two-class and three-class Bayesian artificial neural networks in estimation of observations drawn from simulated bivariate normal distributions.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
2010
A Novel Hybrid Linear/Nonlinear Classifier for Two-Class Classification: Theory, Algorithm, and Applications.
IEEE Trans. Medical Imaging, 2010
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
Optimization of a fuzzy C-means approach to determining probability of lesion malignancy and quantifying lesion enhancement heterogeneity in breast DCE-MRI.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
Proceedings of the Digital Mammography, 2010
Proceedings of the Digital Mammography, 2010
2009
Automated Method for Improving System Performance of Computer-Aided Diagnosis in Breast Ultrasound.
IEEE Trans. Medical Imaging, 2009
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
Principal component analysis, classifier complexity, and robustness of sonographic breast lesion classification.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
Using three-class BANN classifier in the automated analysis of breast cancer lesions in DCE-MRI.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
2008
Power Spectral Analysis of Mammographic Parenchymal Patterns for Breast Cancer Risk Assessment.
J. Digit. Imaging, 2008
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
Computerized assessment of coronary calcified plaques in CT images of a dynamic cardiac phantom.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
Computerized self-assessment of automated lesion segmentation in breast ultrasound: implication for CADx applied to findings in the axilla.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
Identifying Corresponding Lesions from CC and MLO Views Via Correlative Feature Analysis.
Proceedings of the Digital Mammography, 2008
Proceedings of the Digital Mammography, 2008
2007
Imputation methods for temporal radiographic texture analysis in the detection of periprosthetic osteolysis.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
The effect of image quality on the appearance of lesions on breast ultrasound: implications for CADx.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
Joint feature selection and classification using a Bayesian neural network with automatic relevance determination priors: potential use in CAD of medical imaging.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
2006
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Investigation of temporal radiographic texture analysis for the detection of periprosthetic osteolysis.
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Proceedings of the Medical Imaging 2006: Image Processing, 2006
A novel strategy for segmentation of magnetic resonance (MR) images corrupted by intensity inhomogeneity artifacts.
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Comparison of Computerized Image Analyses for Digitized Screen-Film Mammograms and Full-Field Digital Mammography Images.
Proceedings of the Digital Mammography, 2006
2005
Character recognition and image manipulation for the clinical translation of CAD for breast ultrasound.
Proceedings of the Medical Imaging 2005: Image Processing, 2005
2004
Proceedings of the Medical Imaging 2004: Image Processing, 2004
A reconstruction-independent method for computerized mass detection in digital tomosynthesis images of the breast.
Proceedings of the Medical Imaging 2004: Image Processing, 2004
Computerized detection and 3-way classification of breast lesions on ultrasound images.
Proceedings of the Medical Imaging 2004: Image Processing, 2004
Automated identification of temporal pattern with high initial enhancement in dynamic MR lesions using fuzzy c-means algorithm.
Proceedings of the Medical Imaging 2004: Image Processing, 2004
A Fuzzy C-Means (FCM) Based Algorithm for Intensity Inhomogeneity Correction and Segmentation of MR Images.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
Computerized detection of mammographic masses in digital breast tomosynthesis images using radial gradient index filtering.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004
Computerized texture analysis of mammographic parenchymal patterns of digitized mammograms.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004
Texture analysis of peripheral bone densitometry images to aid the assessment of risk for fracture.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004
Computerized assessment of tumor extent in contrast-enhanced MR images of the breast.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004
2003
Proceedings of the Medical Imaging 2003: Image Processing, 2003
Proceedings of the Medical Imaging 2003: Image Processing, 2003
Proceedings of the Medical Imaging 2003: Image Processing, 2003
2002
Effect of case mix on feature selection in the computerized classification of mammographic lesions.
Proceedings of the Medical Imaging 2002: Image Processing, 2002
Optimizing feature selection across a multimodality database in computerized classification of breast lesions.
Proceedings of the Medical Imaging 2002: Image Processing, 2002
Intelligent CAD workstation for breast imaging using similarity to known lesions and multiple visual prompt aids.
Proceedings of the Medical Imaging 2002: Image Processing, 2002
Proceedings of the Medical Imaging 2002: Image Processing, 2002
Proceedings of the Medical Imaging 2002: Image Processing, 2002
2001
IEEE Trans. Medical Imaging, 2001
Computerized Analysis of Multiple-Mammographic Views: Potential Usefulness of Special View Mammograms in Computer-Aided Diagnosis.
IEEE Trans. Medical Imaging, 2001
Proceedings of the Medical Imaging 2001: Image Processing, 2001
Computerized lung nodule detection: comparison of performance for low-dose and standard-dose helical CT scans.
Proceedings of the Medical Imaging 2001: Image Processing, 2001
Current status and future direction of computer-aided diagnosis in chest CT.
Proceedings of the CARS 2001. Computer Assisted Radiology and Surgery. Proceedings of the 15th International Congress and Exhibition, 2001
2000
Comput. Sci. Eng., 2000
Multiobjective genetic optimization of diagnostic classifiers used in the computerized detection of mass lesions in mammography.
Proceedings of the Medical Imaging 2000: Image Processing, 2000
Incorporation of clinical data into a computerized method for the assessment of mammographic breast lesions.
Proceedings of the Medical Imaging 2000: Image Processing, 2000
Proceedings of the Medical Imaging 2000: Image Processing, 2000
1999
Computerized analysis of abnormal asymmetry in digital chest radiographs: Evaluation of potential utility.
J. Digit. Imaging, 1999
Proceedings of the Medical Imaging 1999: Image Processing, 1999
Artificial neural networks in breast cancer diagnosis: merging of computer-extracted features from breast images.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999
1998
IEEE Trans. Medical Imaging, 1998
Automated feature extraction and classification of breast lesions in magnetic resonance images.
Proceedings of the Medical Imaging 1998: Image Processing, 1998
Automated detection of pulmonary nodules in helical computed tomography images of the thorax.
Proceedings of the Medical Imaging 1998: Image Processing, 1998
Prospective Testing of a Clinical Mammography Workstation for CAD: Analysis of the First 10, 000 Cases.
Proceedings of the Digital Mammography, 1998
Benefits of Computer-Aided Diagnosis (CAD) in Mammographic Diagnosis of Malignant and Benign Clustered Microcalcifications.
Proceedings of the Digital Mammography, 1998
Computerized Analysis of Digitized Mammograms of Women with Low Breast Cancer Risk and of BRCA1/BRCA2 Gene-Mutation Carriers.
Proceedings of the Digital Mammography, 1998
Computer-Aided Diagnosis of Digital Mammography and Ultrasound Images of Breast Mass Lesions.
Proceedings of the Digital Mammography, 1998
1997
Feature selection and classifiers for the computerized detection of mass lesions in digital mammography.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
1995
Erratum to: Detection of lung nodules in digital chest radiographs using artificial neural networks: A pilot study.
J. Digit. Imaging, 1995
Detection of lung nodules in digital chest radiographs using artificial neural networks: A pilot study.
J. Digit. Imaging, 1995
Optimizing wavelet transform based on supervised learning for detection of microcalcifications in digital mammograms.
Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995
Effects of image preprocessing/resizing on diagnostic quality of compressed medical images [chest radiographs application].
Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995
1994
Computerized detection of masses in digital mammograms: Investigation of feature-analysis techniques.
J. Digit. Imaging, 1994
Reduction of false positives in computerized detection of lung nodules in chest radiographs using artificial neural networks, discriminant analysis, and a rule-based scheme.
J. Digit. Imaging, 1994
J. Digit. Imaging, 1994
Relative Effects of Resolution and Quantization on the Quality of Compressed Medical Images.
Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994
1993
Simulation studies of data classification by artificial neural networks: Potential applications in medical imaging and decision making.
J. Digit. Imaging, 1993
1991
Evaluating the EM algorithm for image processing using a human visual fidelity criterion.
Proceedings of the 1991 International Conference on Acoustics, 1991
1990
Investigation of methods for the computerized detection and analysis of mammographic masses.
Proceedings of the Medical Imaging IV: Image Processing, 1990
Proceedings of the Medical Imaging IV: Image Processing, 1990