Maryellen Giger

Maryellen Giger

University of Chicago

H-index: 106

North America-United States

About Maryellen Giger

Maryellen Giger, With an exceptional h-index of 106 and a recent h-index of 51 (since 2020), a distinguished researcher at University of Chicago, specializes in the field of imaging, computer-aided diagnosis, radiomics, deep learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Abstract No. 241 Fuzzy C-Means Segmentation of Hyperintense Metastatic Lesions in Hepatocyte-Avid Contrast T1-weighted DCE-MRI Studies

Automatic segmentation of malignant and benign adnexal lesions on ultrasound scans

Using artificial intelligence for chest radiograph interpretation: a retrospective multi-reader-multi-case (MRMC) study of the automatic detection of multiple abnormalities and …

Role of sureness in evaluating AI/CADx: Lesion‐based repeatability of machine learning classification performance on breast MRI

Multi-class instance segmentation of renal structures in highly multiplexed immunofluorescence microscopy images

Enabling Global Image Data Sharing in the Life Sciences

A Guideline for Open-Source Tools to Make Medical Imaging Data Ready for Artificial Intelligence Applications: A Society of Imaging Informatics in Medicine (SIIM) Survey

Systems and Methods for Identifying Progression of Hypoxic-Ischemic Brain Injury

Maryellen Giger Information

University

Position

___

Citations(all)

36236

Citations(since 2020)

11786

Cited By

29136

hIndex(all)

106

hIndex(since 2020)

51

i10Index(all)

361

i10Index(since 2020)

184

Email

University Profile Page

University of Chicago

Google Scholar

View Google Scholar Profile

Maryellen Giger Skills & Research Interests

imaging

computer-aided diagnosis

radiomics

deep learning

Top articles of Maryellen Giger

Title

Journal

Author(s)

Publication Date

Abstract No. 241 Fuzzy C-Means Segmentation of Hyperintense Metastatic Lesions in Hepatocyte-Avid Contrast T1-weighted DCE-MRI Studies

Journal of Vascular and Interventional Radiology

G Casella

R Reeves

A Gomella

J Papaioannou

L Lan

...

2024/3/1

Automatic segmentation of malignant and benign adnexal lesions on ultrasound scans

Heather M Whitney

Roni Yoeli-Bik

Jacques S Abramowicz

Li Lan

Hui Li

...

2024/4/3

Using artificial intelligence for chest radiograph interpretation: a retrospective multi-reader-multi-case (MRMC) study of the automatic detection of multiple abnormalities and …

Lin Guo

Guanxun Cheng

Lifei Wang

Bin Zheng

Stefan Jaeger

...

2024/4/3

Role of sureness in evaluating AI/CADx: Lesion‐based repeatability of machine learning classification performance on breast MRI

Medical Physics

Heather M Whitney

Karen Drukker

Michael Vieceli

Amy Van Dusen

Michelle de Oliveira

...

2024/3

Multi-class instance segmentation of renal structures in highly multiplexed immunofluorescence microscopy images

Thao Cao

Madeleine S Durkee

Junting Ai

Gabriel Casella

Deepjyoti Ghosh

...

2024/4/3

Enabling Global Image Data Sharing in the Life Sciences

arXiv preprint arXiv:2401.13023

Peter Bajcsy

Sreenivas Bhattiprolu

Katy Borner

Beth Cimini

Lucy Collinson

...

2024/1/23

A Guideline for Open-Source Tools to Make Medical Imaging Data Ready for Artificial Intelligence Applications: A Society of Imaging Informatics in Medicine (SIIM) Survey

Journal of Imaging Informatics in Medicine

Sanaz Vahdati

Bardia Khosravi

Elham Mahmoudi

Kuan Zhang

Pouria Rouzrokh

...

2024/4/1

Systems and Methods for Identifying Progression of Hypoxic-Ischemic Brain Injury

2024/4/4

Pseudo-spectral angle mapping for automated pixel-level analysis of highly multiplexed tissue image data

bioRxiv

Madeleine S Durkee

Junting Ai

Gabriel Casella

Thao Cao

Anthony Chang

...

2024

Sequestration of imaging studies in MIDRC: using load factor to minimize algorithm performance overestimation and image reuse

Dylan Tang

Heather M Whitney

Kyle J Myers

Maryellen L Giger

2024/3/29

Quantification, model characterization, and challenges in automatic perivascular space candidate discrimination

Jordan D Fuhrman

Madison Luther

Ali Mansour

Laura Dennis

Fernando D Goldenberg

...

2024/4/3

Radiomics and quantitative multi-parametric MRI for predicting uterine fibroid growth

Karen Drukker

Milica Medved

Carla Harmath

Maryellen L Giger

Obianuju S Madueke-Laveaux

2024/4/3

Pseudo-spectral angle mapping to improve immune cell classification in highly multiplexed fluorescence microscopy images

Madeleine S Durkee

Junting Ai

Gabriel Casella

Thao Cao

Marcus R Clark

...

2024/3/12

Automating tumor segmentation and tumor enhancement quantification of I-SPY2 data

Arden Frantzen

Heather M Whitney

Hui Li

Karen Drukker

Alexandra Edwards

...

2024/4/3

Renal cell classification in highly multiplexed microscopy imaging using a biology-based decision tree classifier

Gabriel Casella

Madeleine S Durkee

Junting Ai

Thao Cao

Deepjyoti Ghosh

...

2024/4/3

Criteria for the translation of radiomics into clinically useful tests

Erich P Huang

James PB O’Connor

Lisa M McShane

Maryellen L Giger

Philippe Lambin

...

2023/2

Convolutional neural networks detect cells in densely packed images at performance levels similar to human readers

Madeleine S Durkee

Nevaeh Petrie

Kyle Lleras

Junting Ai

Rebecca Abraham

...

2023/4/3

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

Karen Drukker

Weijie Chen

Judy Gichoya

Nicholas Gruszauskas

Jayashree Kalpathy-Cramer

...

2023/11/1

Temporal Machine Learning Analysis of Prior Mammograms for Breast Cancer Risk Prediction

Cancers

Hui Li

Kayla Robinson

Li Lan

Natalie Baughan

Chun-Wai Chan

...

2023/4/4

User experience evaluation for MIDRC AI interface

Naveena Gorre

Jordan Fuhrman

Eduardo Carranza

Hui Li

Ravi K Madduri

...

2023/4/10

See List of Professors in Maryellen Giger University(University of Chicago)

Co-Authors

H-index: 76
Nico Karssemeijer

Nico Karssemeijer

Radboud Universiteit

H-index: 58
Robert Nishikawa (he/him)

Robert Nishikawa (he/him)

University of Pittsburgh

H-index: 57
Hiroshi Fujita

Hiroshi Fujita

Gifu University

H-index: 38
Hui Li

Hui Li

University of Chicago

H-index: 30
Lorenzo Pesce

Lorenzo Pesce

Northwestern University

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