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Connection

Kaustav Bera to Treatment Outcome

This is a "connection" page, showing publications Kaustav Bera has written about Treatment Outcome.

 
Connection Strength
 
 
 
0.186
 
  1. Bera K, Braman N, Gupta A, Velcheti V, Madabhushi A. Predicting cancer outcomes with radiomics and artificial intelligence in radiology. Nat Rev Clin Oncol. 2022 02; 19(2):132-146.
    View in: PubMed
    Score: 0.068
  2. Bera K, Velcheti V, Madabhushi A. Novel Quantitative Imaging for Predicting Response to Therapy: Techniques and Clinical Applications. Am Soc Clin Oncol Educ Book. 2018 May 23; 38:1008-1018.
    View in: PubMed
    Score: 0.054
  3. Zhao J, Bera K, Mohamed A, Li Q, Ramaiya N, Tirumani SH. Comparison of RECIST 1.1, mRECIST and PERCIST for assessment of peptide receptor radionuclide therapy treatment response in metastatic neuroendocrine tumors. Curr Probl Diagn Radiol. 2025 Mar-Apr; 54(2):228-232.
    View in: PubMed
    Score: 0.021
  4. Khorrami M, Prasanna P, Gupta A, Patil P, Velu PD, Thawani R, Corredor G, Alilou M, Bera K, Fu P, Feldman M, Velcheti V, Madabhushi A. Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non-Small Cell Lung Cancer. Cancer Immunol Res. 2020 01; 8(1):108-119.
    View in: PubMed
    Score: 0.015
  5. Khorrami M, Jain P, Bera K, Alilou M, Thawani R, Patil P, Ahmad U, Murthy S, Stephans K, Fu P, Velcheti V, Madabhushi A. Predicting pathologic response to neoadjuvant chemoradiation in resectable stage III non-small cell lung cancer patients using computed tomography radiomic features. Lung Cancer. 2019 09; 135:1-9.
    View in: PubMed
    Score: 0.014
  6. Braman N, Prasanna P, Whitney J, Singh S, Beig N, Etesami M, Bates DDB, Gallagher K, Bloch BN, Vulchi M, Turk P, Bera K, Abraham J, Sikov WM, Somlo G, Harris LN, Gilmore H, Plecha D, Varadan V, Madabhushi A. Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy for HER2 (ERBB2)-Positive Breast Cancer. JAMA Netw Open. 2019 04 05; 2(4):e192561.
    View in: PubMed
    Score: 0.014
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.

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