World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
7514
World Ranking
8816
National Ranking
3767

Overview

Lisa M. Brown is affiliated with the Albert Einstein College of Medicine in the United States. Their research spans several fields including Medicine, Biochemistry, Genetics and Molecular Biology, and Pharmacology, Toxicology and Pharmaceutics. Within these broad fields, their work focuses on subfields such as Pharmacology, Molecular Biology, Physiology, Psychiatry and Mental Health, and Genetics.

Their primary topics of research encompass:

  • Pharmacogenetics and Drug Metabolism
  • Treatment of Major Depression
  • Diet and metabolism studies
  • Tryptophan and brain disorders
  • Gut microbiota and health
  • Computational Drug Discovery Methods
  • Schizophrenia research and treatment

Brown has published extensively, with 25 publications related to Medicine and 12 each in Biochemistry, Genetics and Molecular Biology, as well as Pharmacology, Toxicology and Pharmaceutics. They have contributed to various journals, notably:

  • American Journal of Geriatric Psychiatry
  • Journal of Personalized Medicine
  • Blood
  • International Journal of Molecular Sciences
  • Clinical Pharmacology & Therapeutics

Among their recent papers are:

  • "Brentuximab vedotin in combination with nivolumab in relapsed or refractory Hodgkin lymphoma: 3-year study results" (2021, Blood)
  • "The Gut Microbiome in Depression and Potential Benefit of Prebiotics, Probiotics and Synbiotics: A Systematic Review of Clinical Trials and Observational Studies" (2022, International Journal of Molecular Sciences)
  • "Pharmacogenomic Testing and Depressive Symptom Remission: A Systematic Review and Meta-Analysis of Prospective, Controlled Clinical Trials" (2022, Clinical Pharmacology & Therapeutics)
  • "The Clinical Utility of Combinatorial Pharmacogenomic Testing for Patients with Depression: A Meta-Analysis" (2020, Pharmacogenomics)
  • "The emergence, implementation, and future growth of pharmacogenomics in psychiatry: a narrative review" (2023, Psychological Medicine)

Brown collaborates frequently with several researchers including Chad Bousman, James Li, John F. Greden, Daniel J. Müller, and Sagar V. Parikh. These collaborations reflect sustained partnerships in advancing topics related to pharmacogenomics and psychiatric treatment.

Best Publications

  • Moments in Time Dataset: One Million Videos for Event Understanding

    Mathew Monfort;Carl Vondrick;Aude Oliva;Alex Andonian

  • Appearance models for occlusion handling

    Andrew W. Senior;Arun Hampapur;Ying-li Tian;Lisa M. Brown

  • Smart video surveillance: exploring the concept of multiscale spatiotemporal tracking

    A. Hampapur;L. Brown;J. Connell;A. Ekin

  • Enabling video privacy through computer vision

    A. Senior;S. Pankanti;A. Hampapur;L. Brown

  • Deep domain adaptation for describing people based on fine-grained clothing attributes

    Qiang Chen;Junshi Huang;Rogerio Feris;Lisa M Brown

  • An Inclusive Framework for Conceptualizing Mixed Methods Design Typologies: Moving Toward Fully Integrated Synergistic Research Models

    Bonnie Kaul Nastasi;John H. Hitchcock;Lisa M. Brown

  • Attribute-based people search in surveillance environments

    Daniel A. Vaquero;Rogerio S. Feris;Duan Tran;Lisa Brown

  • A closer look at Faster R-CNN for vehicle detection

    Quanfu Fan;Lisa Brown;John Smith

  • Method and system for spatio-temporal event detection using composite definitions for camera systems

    Senem Velipasalar;Lisa Marie Brown;Arun Hampapur;Chiao-fe Shu

  • THE INFLUENCE OF BORON ON THE CLUSTERING OF RADIATION DAMAGE IN GRAPHITE. II. NUCLEATION OF INTERSTITIAL LOOPS.

    L.M. Brown;A. Kelly;R.M. Mayer

  • Smart surveillance: applications, technologies and implications

    A. Hampapur;L. Brown;J. Connell;S. Pankanti

  • Detection and tracking in the IBM PeopleVision system

    J. Connell;A.W. Senior;A. Hampapur;Y.-L. Tian

  • IBM smart surveillance system (S3): event based video surveillance system with an open and extensible framework

    Ying-li Tian;Lisa Brown;Arun Hampapur;Max Lu

  • Large-Scale Vehicle Detection, Indexing, and Search in Urban Surveillance Videos

    R. S. Feris;B. Siddiquie;J. Petterson;Yun Zhai

  • IBM smart surveillance system (S3): a open and extensible framework for event based surveillance

    Chiao-Fe Shu;A. Hampapur;M. Lu;L. Brown

  • Selective surveillance system with active sensor management policies

    Arun Hampapur;Sharathchandra Pankanti;Andrew Senior;Ying-Li Tian

  • Face cataloger: multi-scale imaging for relating identity to location

    A. Hampapur;S. Pankanti;A. Senior;Ying-Li Tian

  • Blinkering Surveillance: Enabling Video Privacy through Computer Vision

    Andrew Senior;Sharath Pankanti;Arun Hampapur;Lisa Brown

  • Automatic Multiscale Image Acquisition from a Steerable Camera

    Andrew William Senior;Sharathchandra Pankanti;Arun Hampapur;Lisa Marie Brown

  • Comparative study of coarse head pose estimation

    L.M. Brown;Ying-Li Tian

Frequent Co-Authors

Rogerio Feris
Rogerio Feris IBM (United States)
Arun Hampapur
Arun Hampapur Bloom Value
Yingli Tian
Yingli Tian City University of New York
Andrew W. Senior
Andrew W. Senior Google (United States)
Sharath Pankanti
Sharath Pankanti IBM (United States)
Jonathan H. Connell
Jonathan H. Connell IBM (United States)
Arturo Casadevall
Arturo Casadevall Johns Hopkins University
Yu Cheng
Yu Cheng Microsoft (United States)
Shuicheng Yan
Shuicheng Yan National University of Singapore
Ruth J. F. Loos
Ruth J. F. Loos University of Copenhagen

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