Deborah Blacker

According to our database, Deborah Blacker authored at least 12 papers between 2006 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

An autonomous agentic workflow for clinical detection of cognitive concerns using large language models.

Jiazi Tian, Pedram J. Fard, Cameron Cagan, Neguine Rezaii, Rebeka Bustamante Rocha, Liqin Wang, Valdery Moura Junior, Deborah Blacker, Jennifer S. Haas, Chirag J. Patel, Shawn N. Murphy, Lidia M. V. R. Moura, Hossein Estiri

npj Digit. Medicine, 2026

2025

Evaluating GPT's Capability in Identifying Stages of Cognitive Impairment from Electronic Health Data.

Yu Leng, Yingnan He, Colin G. Magdamo, Ana-Maria Vranceanu, Christine S. Ritchie, Shibani S. Mukerji, Lidia M. V. R. Moura, John R. Dickson, Deborah Blacker, Sudeshna Das

CoRR, February, 2025

An Agentic AI Workflow for Detecting Cognitive Concerns in Real-world Data.

Jiazi Tian, Liqin Wang, Pedram J. Fard, Valdery Moura Junior, Deborah Blacker, Jennifer S. Haas, Chirag J. Patel, Shawn N. Murphy, Lidia M. V. R. Moura, Hossein Estiri

CoRR, February, 2025

A GPT-4o-powered framework for identifying cognitive impairment stages in electronic health records.

Yu Leng, Yingnan He, Samad Amini, Colin G. Magdamo, Ioannis Paschalidis, Shibani S. Mukerji, Lidia M. V. R. Moura, M. Brandon Westover, Ana-Maria Vranceanu, Christine S. Ritchie, Deborah Blacker, John R. Dickson, Sudeshna Das

npj Digit. Medicine, 2025

2023

AI-assisted prediction of differential response to antidepressant classes using electronic health records.

Yi-han Sheu, Colin G. Magdamo, Matthew Miller, Sudeshna Das, Deborah Blacker, Jordan W. Smoller

npj Digit. Medicine, 2023

2021

Using Deep Learning to Identify Patients with Cognitive Impairment in Electronic Health Records.

Tanish Tyagi, Colin G. Magdamo, Ayush Noori, Zhaozhi Li, Xiao Liu, Mayuresh Deodhar, Zhuoqiao Hong, Wendong Ge, Elissa M. Ye, Yi-han Sheu, Haitham Alabsi, Laura Brenner, Gregory K. Robbins, Sahar F. Zafar, Nicole Benson, Lidia M. V. R. Moura, John Hsu, Alberto Serrano-Pozo, Dimitry Prokopenko, Rudolph E. Tanzi, Bradley T. Hyman, Deborah Blacker, Shibani S. Mukerji, M. Brandon Westover, Sudeshna Das

CoRR, 2021

2020

Natural Language Processing to Detect Cognitive Concerns in Electronic Health Records Using Deep Learning.

Zhuoqiao Hong, Colin G. Magdamo, Yi-han Sheu, Prathamesh Mohite, Ayush Noori, Elissa M. Ye, Wendong Ge, Haoqi Sun, Laura Brenner, Gregory K. Robbins, Shibani Mukerji, Sahar F. Zafar, Nicole Benson, Lidia M. V. R. Moura, John Hsu, Bradley T. Hyman, M. Brandon Westover, Deborah Blacker, Sudeshna Das

CoRR, 2020

2017

Harvard Aging Brain Study: Dataset and accessibility.

Alexander Dagley, Molly LaPoint, Willem Huijbers, Trey Hedden, Donald G. McLaren, Jasmeer P. Chhatwal, Kathryn V. Papp, Rebecca E. Amariglio, Deborah Blacker, Dorene M. Rentz, Keith A. Johnson, Reisa A. Sperling, Aaron P. Schultz

NeuroImage, 2017

2009

MRI-derived measurements of human subcortical, ventricular and intracranial brain volumes: Reliability effects of scan sessions, acquisition sequences, data analyses, scanner upgrade, scanner vendors and field strengths.

Jorge Jovicich, Silvester Czanner, Xiao Han, David H. Salat, André J. W. van der Kouwe, Brian T. Quinn, Jenni Pacheco, Marilyn S. Albert, Ronald J. Killiany, Deborah Blacker, Ralph Paul Maguire, H. Diana Rosas, Nikos Makris, Randy L. Gollub, Anders M. Dale, Bradford C. Dickerson, Bruce Fischl

NeuroImage, 2009

2008

Detection of cortical thickness correlates of cognitive performance: Reliability across MRI scan sessions, scanners, and field strengths.

Bradford C. Dickerson, E. Fenstermacher, David H. Salat, David A. Wolk, Ralph Paul Maguire, Rahul Desikan, Jennifer L. Pacheco, Brian T. Quinn, André J. W. van der Kouwe, Douglas N. Greve, Deborah Blacker, Marilyn S. Albert, Ronald J. Killiany, Bruce Fischl

NeuroImage, 2008

2007

Feasibility of Multi-site Clinical Structural Neuroimaging Studies of Aging Using Legacy Data.

Christine Fennema-Notestine, Anthony Collins Gamst, Brian T. Quinn, Jenni Pacheco, Terry L. Jernigan, Leon Thal, Randy L. Buckner, Ron Killiany, Deborah Blacker, Anders M. Dale, Bruce Fischl, Bradford C. Dickerson, Randy L. Gollub

Neuroinformatics, 2007

2006

An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest.

Rahul Desikan, Florent Ségonne, Bruce Fischl, Brian T. Quinn, Bradford C. Dickerson, Deborah Blacker, Randy L. Buckner, Anders M. Dale, Ralph Paul Maguire, Bradley T. Hyman, Marilyn S. Albert, Ronald J. Killiany

NeuroImage, 2006