Maryellen L Giger (Maryellen Giger)

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 48

Top Topics

Convolutional Neural Network

Machine Learning

Magnetic Resonance

Contrast Enhanced Ultrasound

Top Venues

Journal of medical imaging (Bellingham, Wash.)

Journal of magnetic resonance imaging : JMRI

Radiology. Artificial intelligence

This page only lists publications with an associated author ORCID identifier.

Publications

Heather M Whitney, Roni Yoeli-Bik, Jacques S Abramowicz, Li Lan, Hui Li, Ryan E Longman, Ernst Lengyel, Maryellen L Giger
AI-based automated segmentation for ovarian/adnexal masses and their internal components on ultrasound imaging. Journal of medical imaging (Bellingham, Wash.) 11 (4) (2024)
Heather M Whitney, Roni Yoeli-Bik, Jacques S Abramowicz, Li Lan, Hui Li, Ryan E Longman, Ernst Lengyel, Maryellen L Giger
AI-based automated segmentation for ovarian/adnexal masses and their internal components on ultrasound imaging. Journal of medical imaging (Bellingham, Wash.) 11 (4) (2024)
Heather M Whitney, Roni Yoeli-Bik, Jacques S Abramowicz, Li Lan, Hui Li, Ryan E Longman, Ernst Lengyel, Maryellen L Giger
AI-based automated segmentation for ovarian/adnexal masses and their internal components on ultrasound imaging. Journal of medical imaging (Bellingham, Wash.) 11 (4) (2024)
Lindsay Douglas, Jordan Fuhrman, Qiyuan Hu, Alexandra Edwards, Deepa Sheth, Hiroyuki Abe, Maryellen L Giger
Computerized assessment of background parenchymal enhancement on breast dynamic contrast-enhanced-MRI including electronic lesion removal. Journal of medical imaging (Bellingham, Wash.) 11 (3) (2024)
Lindsay Douglas, Jordan Fuhrman, Qiyuan Hu, Alexandra Edwards, Deepa Sheth, Hiroyuki Abe, Maryellen L Giger
Computerized assessment of background parenchymal enhancement on breast dynamic contrast-enhanced-MRI including electronic lesion removal. Journal of medical imaging (Bellingham, Wash.) 11 (3) (2024)
Natalie Baughan, Lindsay Douglas, Maryellen L Giger
Past, Present, and Future of Machine Learning and Artificial Intelligence for Breast Cancer Screening. Journal of breast imaging 4 (5) (2024)
Kenny H Cha, Berkman Sahiner, Tingting Hu, Grace Hyun J Kim, Heather M Whitney, Natalie Baughan, Kyle J Myers, Maryellen L Giger, Michael F McNitt-Gray
MIDRC-MetricTree: a decision tree-based tool for recommending performance metrics in artificial intelligence-assisted medical image analysis. Journal of medical imaging (Bellingham, Wash.) 11 (2) (2024)
Kenny H Cha, Milica Medved, Carla B Harmath, Maryellen L Giger, Obianuju S Madueke-Laveaux
Radiomics and quantitative multi-parametric MRI for predicting uterine fibroid growth. Journal of medical imaging (Bellingham, Wash.) 11 (5) (2024)
Kenny H Cha, Berkman Sahiner, Tingting Hu, Grace Hyun J Kim, Heather M Whitney, Natalie Baughan, Kyle J Myers, Maryellen L Giger, Michael F McNitt-Gray
MIDRC-MetricTree: a decision tree-based tool for recommending performance metrics in artificial intelligence-assisted medical image analysis. Journal of medical imaging (Bellingham, Wash.) 11 (2) (2024)
Heather M Whitney, Natalie Baughan, Kyle J Myers, Kenny H Cha, Judy Wawira Gichoya, Brad Bower, Weijie Chen, Nicholas Gruszauskas, Jayashree Kalpathy-Cramer, Oluwasanmi O Koyejo, Rui Carlos Sá, Berkman Sahiner, Zi Zhang, Maryellen L Giger
Longitudinal assessment of demographic representativeness in the Medical Imaging and Data Resource Center open data commons. Journal of medical imaging (Bellingham, Wash.) 10 (6) (2023)
Mena Shenouda, Isabella Flerlage, Aditi Kaveti, Maryellen L Giger, Samuel G Armato
Assessment of a deep learning model for COVID-19 classification on chest radiographs: a comparison across image acquisition techniques and clinical factors. Journal of medical imaging (Bellingham, Wash.) 10 (6) (2023)
Yu Ji, Heather M Whitney, Hui Li, Peifang Liu, Maryellen L Giger, Xuening Zhang
Differences in Molecular Subtype Reference Standards Impact AI-based Breast Cancer Classification with Dynamic Contrast-enhanced MRI. Radiology (2023)
Natalie Baughan, Hui Li, Li Lan, Matthew Embury, Isaiah Yim, Gary J Whitman, Randa El-Zein, Isabelle Bedrosian, Maryellen L Giger
Radiomic and deep learning characterization of breast parenchyma on full field digital mammograms and specimen radiographs: a pilot study of a potential cancer field effect. Journal of medical imaging (Bellingham, Wash.) 10 (4) (2023)
Kenny H Cha, Weijie Chen, Judy Wawira Gichoya, Nicholas Gruszauskas, Jayashree Kalpathy-Cramer, Sanmi Koyejo, Kyle J Myers, Rui Carlos Sá, Berkman Sahiner, Heather M Whitney, Zi Zhang, Maryellen L Giger
Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment. Journal of medical imaging (Bellingham, Wash.) 10 (6) (2023)
Yu Ji, Heather M Whitney, Hui Li, Peifang Liu, Maryellen L Giger, Xuening Zhang
Differences in Molecular Subtype Reference Standards Impact AI-based Breast Cancer Classification with Dynamic Contrast-enhanced MRI. Radiology (2023)
Lindsay Douglas, Roma Bhattacharjee, Jordan Fuhrman, Kenny H Cha, Qiyuan Hu, Alexandra Edwards, Deepa Sheth, Maryellen L Giger
U-Net breast lesion segmentations for breast dynamic contrast-enhanced magnetic resonance imaging. Journal of medical imaging (Bellingham, Wash.) 10 (6) (2023)
Natalie Baughan, Heather M Whitney, Kenny H Cha, Berkman Sahiner, Tingting Hu, Grace Hyun Kim, Michael F McNitt-Gray, Kyle J Myers, Maryellen L Giger
Sequestration of imaging studies in MIDRC: stratified sampling to balance demographic characteristics of patients in a multi-institutional data commons. Journal of medical imaging (Bellingham, Wash.) 10 (6) (2023)
Hui Li, Kenny H Cha, Qiyuan Hu, Heather M Whitney, Jordan D Fuhrman, Maryellen L Giger
Predicting intensive care need for COVID-19 patients using deep learning on chest radiography. Journal of medical imaging (Bellingham, Wash.) 10 (4) (2023)
Mena Shenouda, Isabella Flerlage, Aditi Kaveti, Maryellen L Giger, Samuel G Armato
Assessment of a deep learning model for COVID-19 classification on chest radiographs: a comparison across image acquisition techniques and clinical factors. Journal of medical imaging (Bellingham, Wash.) 10 (6) (2023)
Mena Shenouda, Isabella Flerlage, Aditi Kaveti, Maryellen L Giger, Samuel G Armato
Assessment of a deep learning model for COVID-19 classification on chest radiographs: a comparison across image acquisition techniques and clinical factors. Journal of medical imaging (Bellingham, Wash.) 10 (6) (2023)
Yu Ji, Heather M Whitney, Hui Li, Peifang Liu, Maryellen L Giger, Xuening Zhang
Differences in Molecular Subtype Reference Standards Impact AI-based Breast Cancer Classification with Dynamic Contrast-enhanced MRI. Radiology (2023)
Kenny H Cha, Weijie Chen, Judy Wawira Gichoya, Nicholas Gruszauskas, Jayashree Kalpathy-Cramer, Sanmi Koyejo, Kyle J Myers, Rui Carlos Sá, Berkman Sahiner, Heather M Whitney, Zi Zhang, Maryellen L Giger
Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment. Journal of medical imaging (Bellingham, Wash.) 10 (6) (2023)
Matthew Sloan, Hui Li, Hernan A Lescay, Clark Judge, Li Lan, Parviz Hajiyev, Maryellen L Giger, Mohan S Gundeti
Pilot study of machine learning in the task of distinguishing high and low-grade pediatric hydronephrosis on ultrasound. Investigative and clinical urology 64 (6) (2023)
Hui Li, Heather M Whitney, Yu Ji, Alexandra Edwards, John Papaioannou, Peifang Liu, Maryellen L Giger
Impact of continuous learning on diagnostic breast MRI AI: evaluation on an independent clinical dataset. Journal of medical imaging (Bellingham, Wash.) 9 (3) (2022)
Ronald M Summers, Maryellen L Giger
SPIE Computer-Aided Diagnosis conference anniversary review. Journal of medical imaging (Bellingham, Wash.) 9 (Suppl 1) (2022)
Heather M Whitney, Kenny H Cha, Maryellen L Giger
Performance metric curve analysis framework to assess impact of the decision variable threshold, disease prevalence, and dataset variability in two-class classification. Journal of medical imaging (Bellingham, Wash.) 9 (3) (2022)
Melissa Treviño, George Birdsong, Ann J Carrigan, Peter C Black, Trafton Drew, Miguel Eckstein, Anna Fernandez, Brandon D Gallas, Maryellen L Giger, Stephen M Hewitt, Todd S Horowitz, Yuhong V Jiang, Bonnie Kudrick, Susana Martinez-Conde, Stephen R Mitroff, Linda Nebeling, Joseph Saltz, Frank W Samuelson, Steven E Seltzer, Behrouz Shabestari, Lalitha Shankar, Eliot Siegel, Mike Tilkin, Jennifer S Trueblood, Alison L Van Dyke, Aradhana M Venkatesan, David Whitney, Jeremy M Wolfe
Advancing Research on Medical Image Perception by Strengthening Multidisciplinary Collaboration. JNCI cancer spectrum 6 (1) (2022)
Xavier M Keutgen, Hui Li, Kelvin Memeh, Julian Conn Busch, Jelani Williams, Li Lan, David Sarne, Brendan Finnerty, Peter Angelos, Thomas J Fahey, Maryellen L Giger
A machine-learning algorithm for distinguishing malignant from benign indeterminate thyroid nodules using ultrasound radiomic features. Journal of medical imaging (Bellingham, Wash.) 9 (3) (2022)
Issam El Naqa, Hui Li, Jordan Fuhrman, Qiyuan Hu, Naveena Gorre, Weijie Chen, Maryellen L Giger
Lessons learned in transitioning to AI in the medical imaging of COVID-19. Journal of medical imaging (Bellingham, Wash.) 8 (Suppl 1) (2021)
Qiyuan Hu, Heather M Whitney, Hui Li, Yu Ji, Peifang Liu, Maryellen L Giger
Improved Classification of Benign and Malignant Breast Lesions Using Deep Feature Maximum Intensity Projection MRI in Breast Cancer Diagnosis Using Dynamic Contrast-enhanced MRI. Radiology. Artificial intelligence 3 (3) (2021)
Lambert T Leong, Serghei Malkov, Karen Drukker, Bethany L Niell, Peter Sadowski, Thomas K Wolfgruber, Heather I Greenwood, Bonnie N Joe, Karla Kerlikowske, Maryellen L Giger, John A Shepherd
Dual-energy three-compartment breast imaging for compositional biomarkers to improve detection of malignant lesions. Communications medicine 1 (2021)
Qiyuan Hu, Kenny H Cha, Maryellen L Giger
Role of standard and soft tissue chest radiography images in deep-learning-based early diagnosis of COVID-19. Journal of medical imaging (Bellingham, Wash.) 8 (Suppl 1) (2021)
Sakina M Mota, Robert E Rogers, Andrew W Haskell, Eoin P McNeill, Roland Kaunas, Carl A Gregory, Maryellen L Giger, Kristen C Maitland
Automated mesenchymal stem cell segmentation and machine learning-based phenotype classification using morphometric and textural analysis. Journal of medical imaging (Bellingham, Wash.) 8 (1) (2021)
Jennie Crosby, Thomas Rhines, Feng Li, Heber MacMahon, Maryellen L Giger
Deep convolutional neural networks in the classification of dual-energy thoracic radiographic views for efficient workflow: analysis on over 6500 clinical radiographs. Journal of medical imaging (Bellingham, Wash.) 7 (1) (2020)
Heather M Whitney, Hui Li, Yu Ji, Peifang Liu, Maryellen L Giger
Harmonization of radiomic features of breast lesions across international DCE-MRI datasets. Journal of medical imaging (Bellingham, Wash.) 7 (1) (2020)
Qiyuan Hu, Heather M Whitney, Maryellen L Giger
Radiomics methodology for breast cancer diagnosis using multiparametric magnetic resonance imaging. Journal of medical imaging (Bellingham, Wash.) 7 (4) (2020)
Jordan D Fuhrman, Jun Chen, Zegang Dong, Fleming Y M Lure, Zhe Luo, Maryellen L Giger
Cascaded deep transfer learning on thoracic CT in COVID-19 patients treated with steroids. Journal of medical imaging (Bellingham, Wash.) 8 (Suppl 1) (2020)
Deepa Sheth, Maryellen L Giger
Artificial intelligence in the interpretation of breast cancer on MRI. Journal of magnetic resonance imaging : JMRI 51 (5) (2019)
Yu Ji, Hui Li, Alexandra V Edwards, John Papaioannou, Wenjuan Ma, Peifang Liu, Maryellen L Giger
Independent validation of machine learning in diagnosing breast Cancer on magnetic resonance imaging within a single institution. Cancer imaging : the official publication of the International Cancer Imaging Society 19 (1) (2019)
Heather M Whitney, Hui Li, Yu Ji, Peifang Liu, Maryellen L Giger
Comparison of Breast MRI Tumor Classification Using Human-Engineered Radiomics, Transfer Learning From Deep Convolutional Neural Networks, and Fusion Methods. Proceedings of the IEEE. Institute of Electrical and Electronics Engineers 108 (1) (2019)
Vladimir M Liarski, Adam Sibley, Nicholas Van Panhuys, Junting Ai, Anthony Chang, Domenick E Kennedy, Maria Merolle, Ronald N Germain, Maryellen L Giger, Marcus R Clark
Quantifying in situ adaptive immune cell cognate interactions in humans. Nature immunology 20 (4) (2019)
Kenny H Cha, Alexandra Edwards, Christopher Doyle, John Papaioannou, Kirti Kulkarni, Maryellen L Giger
Breast MRI radiomics for the pretreatment prediction of response to neoadjuvant chemotherapy in node-positive breast cancer patients. Journal of medical imaging (Bellingham, Wash.) 6 (3) (2019)
Heather M Whitney, Kenny H Cha, Alexandra Edwards, John Papaioannou, Maryellen L Giger
Effect of biopsy on the MRI radiomics classification of benign lesions and luminal A cancers. Journal of medical imaging (Bellingham, Wash.) 6 (3) (2019)
Natalia Antropova, Hiroyuki Abe, Maryellen L Giger
Use of clinical MRI maximum intensity projections for improved breast lesion classification with deep convolutional neural networks. Journal of medical imaging (Bellingham, Wash.) 5 (1) (2018)
Joseph J Foy, Kayla R Robinson, Hui Li, Maryellen L Giger, Hania A Al-Hallaq, Samuel G Armato
Variation in algorithm implementation across radiomics software. Journal of medical imaging (Bellingham, Wash.) 5 (4) (2018)
Samuel G Armato, Henkjan J Huisman, Kenny H Cha, Lubomir Hadjiiski, Justin S Kirby, Nicholas Petrick, George Redmond, Maryellen L Giger, Kenny H Cha, Artem Mamonov, Jayashree Kalpathy-Cramer, Keyvan Farahani
PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images. Journal of medical imaging (Bellingham, Wash.) 5 (4) (2018)
Natalia Antropova, Benjamin Huynh, Hui Li, Maryellen L Giger
Breast lesion classification based on dynamic contrast-enhanced magnetic resonance images sequences with long short-term memory networks. Journal of medical imaging (Bellingham, Wash.) 6 (1) (2018)
Christopher W Haddad, Karen Drukker, Rebecca Gullett, Timothy J Carroll, Gregory A Christoforidis, Maryellen L Giger
Fuzzy c-means segmentation of major vessels in angiographic images of stroke. Journal of medical imaging (Bellingham, Wash.) 5 (1) (2018)