15 Results

People

  1. Mango
    Mango
  2. Marghoob
    Marghoob
  3. Pinker-Domenig
    Pinker-Domenig
  4. Zhang
    Zhang
  5. Akin
    Akin
  6. Boas
    Boas
  7. Boerner
    Boerner
  8. Bokacheva
    Bokacheva
  9. Castellino
    Castellino
  10. Chakraborty
    Chakraborty

Groups

  1. Radiology, Department of (5)
  2. Department of Medicine (4)
  3. Dermatology Service (3)
  4. Dermatology (3)
  5. Division of Subspecialty Medicine (3)
  6. Medical Physics (3)
  7. Sloan Kettering Institute Postdocs (3)
  8. Survivorship Research (3)
  9. Body Imaging Service (2)
  10. Breast Imaging Service (2)
  1. "computer-aided diagnosis"
Formats
  1. Journal Article (8)
  2. Conference Paper (5)
  3. Review (2)
Groups
  1. Radiology, Department of (5)
  2. Department of Medicine (4)
  3. Dermatology (3)
  4. Dermatology Service (3)
  5. Division of Subspecialty Medicine (3)
  6. Medical Physics (3)

More Groups

People
  1. Ashfaq Marghoob (2)
  2. Hao Zhang (2)
  3. Katja Pinker-Domenig (2)
  4. Victoria Mango (2)
  5. Abhishek Midya (1)
  6. Allan Halpern (1)

More People

Years
  1. 2024 (1)
  2. 2023 (1)
  3. 2022 (2)
  4. 2020 (1)
  5. 2019 (1)
  6. 2018 (1)

More Years

Publications
  1. Proceedings of SPIE (5)
  2. IEEE Journal of Biomedical and Health Informatics (2)
  3. American Journal of Roentgenology (1)
  4. European Journal of Radiology (1)
  5. Journal of Digital Imaging (1)
  6. Journal of Magnetic Resonance Imaging (1)

More Publications

Publishers
  1. SPIE (5)
  2. IEEE (2)
  3. Wiley Blackwell (2)
  4. American Roentgen Ray Society (1)
  5. Elsevier B.V (1)
  6. Elsevier Ireland Ltd. (1)

More Publishers

Results (15)


Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • Artificial intelligence in breast ultrasound: application in clinical practice
    Review

    Fruchtman Brot, H.; Mango, V. L.
    Ultrasonography (2024)

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  • Computerized diagnosis of liver tumors from CT scans using a deep neural network approach
    Journal Article

    Midya, A.; Chakraborty, J.; Srouji, R.; Narayan, R. R.; Boerner, T.; Zheng, J.; Pak, L. M.; Creasy, J. M.; Escobar, L. A.; Harrington, K. A.; more...
    IEEE Journal of Biomedical and Health Informatics (2023)

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  • Fully utilizing contrast enhancement on lung tissue as a novel basis material for lung nodule characterization by multi-energy CT
    Conference Paper

    Chang, S.; Gao, Y.; Pomeroy, M. J.; Bai, T.; Zhang, H.; Liang, Z.
    SPIE (2022)

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  • Using tissue-energy response to generate virtual monoenergetic images from conventional CT for computer-aided diagnosis of lesions
    Conference Paper

    Chang, S.; Gao, Y.; Pomeroy, M. J.; Bai, T.; Zhang, H.; Liang, Z.
    SPIE (2022)

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  • Should we ignore, follow, or biopsy? Impact of artificial intelligence decision support on breast ultrasound lesion assessment
    Journal Article

    Mango, V. L.; Sun, M.; Wynn, R. T.; Ha, R.
    American Journal of Roentgenology (2020)

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  • Dermoscopy image analysis: Overview and future directions
    Review

    Celebi, M. E.; Codella, N.; Halpern, A.
    IEEE Journal of Biomedical and Health Informatics (2019)

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  • Multi-level analysis of spatio-temporal features in non-mass enhancing breast tumors
    Conference Paper

    Tahmassebi, A.; Ngo, D.; Garcia, A.; Castillo, E.; Morales, D. P.; Pinker-Domenig, K.; Lobbes, M.; Meyer-Bäse, A.
    SPIE (2018)

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  • Computer-aided diagnosis of diagnostically challenging lesions in breast MRI: A comparison between a radiomics and a feature-selective approach
    Conference Paper

    Hoffmann, S.; Lobbes, M.; Houben, I.; Pinker-Domenig, K.; Wengert, G.; Burgeth, B.; Meyer-Bäse, U.; Lemaitre, G.; Meyer-Baese, A.
    SPIE (2016)

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  • Classification of hypervascular liver lesions based on hepatic artery and portal vein blood supply coefficients calculated from triphasic CT scans
    Journal Article

    Boas, F. E.; Kamaya, A.; Do, B.; Desser, T. S.; Beaulieu, C. F.; Vasanawala, S. S.; Hwang, G. L.; Sze, D. Y.
    Journal of Digital Imaging (2015)

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  • Anatomic segmentation improves prostate cancer detection with artificial neural networks analysis of 1H magnetic resonance spectroscopic imaging
    Journal Article

    Matulewicz, L.; Jansen, J. F. A.; Bokacheva, L.; Vargas, H. A.; Akin, O.; Fine, S. W.; Shukla-Dave, A.; Eastham, J. A.; Hricak, H.; Koutcher, J. A.; more...
    Journal of Magnetic Resonance Imaging (2014)

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