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Connection

Aritrick Chatterjee to Prostate

This is a "connection" page, showing publications Aritrick Chatterjee has written about Prostate.
Connection Strength

4.142
  1. MRI-based virtual pathology of the prostate. MAGMA. 2024 Aug; 37(4):709-720.
    View in: PubMed
    Score: 0.719
  2. Prostate Tissue Microstructural Estimates Using Time-Dependent Diffusion MRI. Radiology. 2022 06; 303(3):588-589.
    View in: PubMed
    Score: 0.615
  3. Histological validation of prostate tissue composition measurement using hybrid multi-dimensional MRI: agreement with pathologists' measures. Abdom Radiol (NY). 2022 02; 47(2):801-813.
    View in: PubMed
    Score: 0.604
  4. Changes in Epithelium, Stroma, and Lumen Space Correlate More Strongly with Gleason Pattern and Are Stronger Predictors of Prostate ADC Changes than Cellularity Metrics. Radiology. 2015 Dec; 277(3):751-62.
    View in: PubMed
    Score: 0.386
  5. Prospective Validation of an Automated Hybrid Multidimensional MRI Tool for Prostate Cancer Detection Using Targeted Biopsy: Comparison with PI-RADS-based Assessment. Radiol Imaging Cancer. 2025 Jan; 7(1):e240156.
    View in: PubMed
    Score: 0.187
  6. Self-supervised multicontrast super-resolution for diffusion-weighted prostate MRI. Magn Reson Med. 2024 Jul; 92(1):319-331.
    View in: PubMed
    Score: 0.175
  7. Four-quadrant vector mapping of hybrid multidimensional MRI data for the diagnosis of prostate cancer. Med Phys. 2024 Mar; 51(3):2057-2065.
    View in: PubMed
    Score: 0.170
  8. Parametric maps of spatial two-tissue compartment model for prostate dynamic contrast enhanced MRI - comparison with the standard tofts model in the diagnosis of prostate cancer. Phys Eng Sci Med. 2023 Sep; 46(3):1215-1226.
    View in: PubMed
    Score: 0.169
  9. An Interactive App with Multi-parametric MRI - Whole-Mount Histology Correlation for Enhanced Prostate MRI Training of Radiology Residents. Acad Radiol. 2023 09; 30 Suppl 1:S21-S29.
    View in: PubMed
    Score: 0.166
  10. Physically implausible signals as a quantitative quality assessment metric in prostate diffusion-weighted MR imaging. Abdom Radiol (NY). 2022 07; 47(7):2500-2508.
    View in: PubMed
    Score: 0.156
  11. Validation of Prostate Tissue Composition by Using Hybrid Multidimensional MRI: Correlation with Histologic Findings. Radiology. 2022 02; 302(2):368-377.
    View in: PubMed
    Score: 0.150
  12. Can Pre-treatment Quantitative Multi-parametric MRI Predict the Outcome of Radiotherapy in Patients with Prostate Cancer? Acad Radiol. 2022 07; 29(7):977-985.
    View in: PubMed
    Score: 0.149
  13. Future Perspectives in Multiparametric Prostate MR Imaging. Magn Reson Imaging Clin N Am. 2019 Feb; 27(1):117-130.
    View in: PubMed
    Score: 0.124
  14. Diagnosis of Prostate Cancer with Noninvasive Estimation of Prostate Tissue Composition by Using Hybrid Multidimensional MR Imaging: A Feasibility Study. Radiology. 2018 06; 287(3):864-873.
    View in: PubMed
    Score: 0.116
  15. Diffusion anisotropy in fresh and fixed prostate tissue ex vivo. Magn Reson Med. 2016 08; 76(2):626-34.
    View in: PubMed
    Score: 0.098
  16. Comparison of synthesized and acquired high b-value diffusion-weighted MRI for detection of prostate cancer. Cancer Imaging. 2024 Jul 08; 24(1):89.
    View in: PubMed
    Score: 0.045
  17. Improving reader accuracy and specificity with the addition of hybrid multidimensional-MRI to multiparametric-MRI in diagnosing clinically significant prostate cancers. Abdom Radiol (NY). 2023 10; 48(10):3216-3228.
    View in: PubMed
    Score: 0.042
  18. Directional and inter-acquisition variability in diffusion-weighted imaging and editing for restricted diffusion. Magn Reson Med. 2022 11; 88(5):2298-2310.
    View in: PubMed
    Score: 0.039
  19. Feasibility of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Using Low-Dose Gadolinium: Comparative Performance With Standard Dose in Prostate Cancer Diagnosis. Invest Radiol. 2018 10; 53(10):609-615.
    View in: PubMed
    Score: 0.030
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.