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Medicine

D-Index
80
Citations
19255
World Ranking
17288
National Ranking
8664

Overview

Mark A. Helvie is affiliated with the University of Michigan-Ann Arbor in the United States. Their research spans multiple disciplines with a primary focus on Medicine and Computer Science, covering 31 and 12 publications respectively. Their work intersects several subfields, including Radiology, Nuclear Medicine and Imaging, Oncology, Artificial Intelligence, Pulmonary and Respiratory Medicine, and Cancer Research.

The scientist's research covers a range of topics, prominently featuring AI in cancer detection, global cancer incidence and screening, digital radiography and breast imaging, breast cancer treatment studies, radiomics and machine learning in medical imaging, medical imaging techniques and applications, and cervical cancer and HPV research.

Frequent publication venues for the scientist include Radiology, Academic Radiology, Medical Imaging 2020: Computer-Aided Diagnosis, Medical Physics, and the American Journal of Roentgenology.

Among their recent papers are:

  • NCCN Guidelines® Insights: Breast Cancer Screening and Diagnosis, Version 1.2023, 2023, Journal of the National Comprehensive Cancer Network
  • Breast Cancer Mortality Rates Have Stopped Declining in U.S. Women Younger than 40 Years, 2021, Radiology
  • Explainable AI for medical imaging: deep-learning CNN ensemble for classification of estrogen receptor status from breast MRI, 2020, Medical Imaging 2020: Computer-Aided Diagnosis
  • Breast cancer screening in average and high-risk women, 2021, Best Practice & Research Clinical Obstetrics & Gynaecology
  • Generalization error analysis for deep convolutional neural network with transfer learning in breast cancer diagnosis, 2020, Physics in Medicine and Biology

Notable frequent coauthors include Heang-Ping Chan, Colleen H. Neal, Lubomir M. Hadjiiski, Ravi K. Samala, and Wahida Rahman, reflecting collaborative work in related areas of medical imaging and cancer research.

Best Publications

  • Metabolic monitoring of breast cancer chemohormonotherapy using positron emission tomography: initial evaluation.

    Richard L. Wahl;Ken Zasadny;Mark Helvie;Gary D. Hutchins

  • Classification of mass and normal breast tissue: a convolution neural network classifier with spatial domain and texture images

    B. Sahiner;Heang-Ping Chan;N. Petrick;Datong Wei

  • Breast cancer screening and diagnosis: Clinical practice guidelines in oncology™

    Therese B. Bevers;Benjamin O. Anderson;Ermelinda Bonaccio;Patrick I. Borgen

  • Breast Cancer Screening and Diagnosis

    Therese B. Bevers;Benjamin O. Anderson;Ermelinda Bonaccio;Sandra Buys

  • Breast Cancer Screening and Diagnosis, Version 3.2018, NCCN Clinical Practice Guidelines in Oncology.

    Therese B. Bevers;Mark Helvie;Ermelinda Bonaccio;Kristine E. Calhoun

  • Improvement of radiologists' characterization of mammographic masses by using computer-aided diagnosis: an ROC study.

    Heang-Ping Chan;Berkman Sahiner;Mark A. Helvie;Nicholas Petrick

  • Changes in surgical management resulting from case review at a breast cancer multidisciplinary tumor board

    Erika A. Newman;Amy B. Guest;Mark A. Helvie;Marilyn A. Roubidoux

  • Computer-aided classification of mammographic masses and normal tissue: linear discriminant analysis in texture feature space

    Heang-Ping Chan;Datong Wei;Mark A. Helvie;Berkman Sahiner

  • Computerized analysis of mammographic microcalcifications in morphological and texture feature spaces

    Heang Ping Chan;Berkman Sahiner;Kwok Leung Lam;Nicholas Petrick

  • Computerized characterization of masses on mammograms: The rubber band straightening transform and texture analysis

    Berkman Sahiner;Heang Ping Chan;Nicholas Petrick;Mark A. Helvie

  • Computer-aided detection of mammographic microcalcifications: Pattern recognition with an artificial neural network

    Heang Ping Chan;Shih Chung B. Lo;Berkman Sahiner;Kwok Leung Lam

  • Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography

    Ravi K. Samala;Heang Ping Chan;Lubomir Hadjiiski;Mark A. Helvie

  • Computerized image analysis: estimation of breast density on mammograms.

    Chuan Zhou;Heang-Ping Chan;Nicholas Petrick;Mark A. Helvie

  • Breast Cancer Screening for Average-Risk Women: Recommendations From the ACR Commission on Breast Imaging

    Debra L. Monticciolo;Mary S. Newell;R. Edward Hendrick;Mark A. Helvie

  • Improvement of mammographic mass characterization using spiculation measures and morphological features

    Berkman Sahiner;Heang-Ping Chan;Nicholas Petrick;Mark A. Helvie

  • Digital mammography imaging: breast tomosynthesis and advanced applications.

    Mark A. Helvie

  • Computer-aided characterization of mammographic masses: accuracy of mass segmentation and its effects on characterization

    B. Sahiner;N. Petrick;Heang-Ping Chan;L.M. Hadjiiski

  • Multi-task transfer learning deep convolutional neural network: application to computer-aided diagnosis of breast cancer on mammograms.

    Ravi K. Samala;Heang Ping Chan;Lubomir M. Hadjiiski;Mark A. Helvie

  • Lobular Carcinoma in Situ or Atypical Lobular Hyperplasia at Core-Needle Biopsy: Is Excisional Biopsy Necessary?

    Michelle C. Foster;Mark A. Helvie;Nancy E. Gregory;Murray Rebner

  • Dual system approach to computerâ aided detection of breast masses on mammograms

    Jun Wei;Heang‐ping Chan;Berkman Sahiner;Lubomir M. Hadjiiski

Frequent Co-Authors

Heang Ping Chan
Heang Ping Chan University of Michigan–Ann Arbor
Lubomir M. Hadjiiski
Lubomir M. Hadjiiski University of Michigan–Ann Arbor
Berkman Sahiner
Berkman Sahiner United States Food and Drug Administration
Jun Wei
Jun Wei Harbin Institute of Technology
Nicholas Petrick
Nicholas Petrick US Food and Drug Administration
Paul L. Carson
Paul L. Carson University of Michigan–Ann Arbor
Thomas L. Chenevert
Thomas L. Chenevert University of Michigan–Ann Arbor
Alfred E. Chang
Alfred E. Chang University of Michigan–Ann Arbor
Lori J. Pierce
Lori J. Pierce University of Michigan–Ann Arbor
Celina G. Kleer
Celina G. Kleer University of Michigan–Ann Arbor

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