Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Subba Rao Digumarthy, M.B.,B.S.

Co-Author

This page shows the publications co-authored by Subba Digumarthy and Mannudeep Kalra.
Connection Strength

11.664
  1. Low contrast volume dual-energy CT of the chest: Quantitative and qualitative assessment. Clin Imaging. 2021 Jan; 69:305-310.
    View in: PubMed
    Score: 0.898
  2. Cause determination of missed lung nodules and impact of reader training and education: Simulation study with nodule insertion software. J Cancer Res Ther. 2020 Jul-Sep; 16(4):780-787.
    View in: PubMed
    Score: 0.882
  3. Postoperative Imaging After Lobectomy: Predicting the Displacement and Change in Orientation of Nonresected Lung Nodules. J Comput Assist Tomogr. 2019 Jul/Aug; 43(4):592-598.
    View in: PubMed
    Score: 0.823
  4. Predicting malignant potential of subsolid nodules: can radiomics preempt longitudinal follow up CT? Cancer Imaging. 2019 Jun 10; 19(1):36.
    View in: PubMed
    Score: 0.819
  5. Process improvement for reducing side discrepancies in radiology reports. Acta Radiol Open. 2018 Jul; 7(7-8):2058460118794727.
    View in: PubMed
    Score: 0.775
  6. CT texture analysis of histologically proven benign and malignant lung lesions. Medicine (Baltimore). 2018 06; 97(26):e11172.
    View in: PubMed
    Score: 0.763
  7. Multifactorial Analysis of Mortality in Screening Detected Lung Cancer. J Oncol. 2018; 2018:1296246.
    View in: PubMed
    Score: 0.761
  8. Predictive values of AI-based triage model in suboptimal CT pulmonary angiography. Clin Imaging. 2022 Mar 16; 86:25-30.
    View in: PubMed
    Score: 0.248
  9. Prediction of Coronary Calcification and Stenosis: Role of Radiomics From Low-Dose CT. Acad Radiol. 2021 07; 28(7):972-979.
    View in: PubMed
    Score: 0.236
  10. Artificial intelligence-based vessel suppression for detection of sub-solid nodules in lung cancer screening computed tomography. Quant Imaging Med Surg. 2021 Apr; 11(4):1134-1143.
    View in: PubMed
    Score: 0.232
  11. Multicenter Assessment of CT Pneumonia Analysis Prototype for Predicting Disease Severity and Patient Outcome. J Digit Imaging. 2021 Apr; 34(2):320-329.
    View in: PubMed
    Score: 0.231
  12. Qualitative and quantitative DECT pulmonary angiography in COVID-19 pneumonia and pulmonary embolism. Clin Radiol. 2021 05; 76(5):392.e1-392.e9.
    View in: PubMed
    Score: 0.231
  13. Use of radiomics to differentiate left atrial appendage thrombi and mixing artifacts on single-phase CT angiography. Int J Cardiovasc Imaging. 2021 Jun; 37(6):2071-2078.
    View in: PubMed
    Score: 0.230
  14. Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort study. Sci Rep. 2021 01 13; 11(1):858.
    View in: PubMed
    Score: 0.229
  15. Clinical and imaging features predict mortality in COVID-19 infection in Iran. PLoS One. 2020; 15(9):e0239519.
    View in: PubMed
    Score: 0.224
  16. Computed Tomography Radiomics Can Predict Disease Severity and Outcome in Coronavirus Disease 2019 Pneumonia. J Comput Assist Tomogr. 2020 Sep/Oct; 44(5):640-646.
    View in: PubMed
    Score: 0.223
  17. Radiomic features of primary tumor by lung cancer stage: analysis in BRAF mutated non-small cell lung cancer. Transl Lung Cancer Res. 2020 Aug; 9(4):1441-1451.
    View in: PubMed
    Score: 0.222
  18. CT Radiomics, Radiologists, and Clinical Information in Predicting Outcome of Patients with COVID-19 Pneumonia. Radiol Cardiothorac Imaging. 2020 Aug; 2(4):e200322.
    View in: PubMed
    Score: 0.221
  19. Multiplatform, Non-Breath-Hold Fast Scanning Protocols: Should We Stop Giving Breath-Hold Instructions for Routine Chest CT? [Formula: see text]. Can Assoc Radiol J. 2021 Aug; 72(3):505-511.
    View in: PubMed
    Score: 0.218
  20. Viewing Imaging Studies: How Patient Location and Imaging Site Affect Referring Physicians. J Digit Imaging. 2020 04; 33(2):334-340.
    View in: PubMed
    Score: 0.217
  21. Comparison of Baseline, Bone-Subtracted, and Enhanced Chest Radiographs for Detection of Pneumothorax. Can Assoc Radiol J. 2021 Aug; 72(3):519-524.
    View in: PubMed
    Score: 0.216
  22. Image Quality and Lesion Detection on Deep Learning Reconstruction and Iterative Reconstruction of Submillisievert Chest and Abdominal CT. AJR Am J Roentgenol. 2020 03; 214(3):566-573.
    View in: PubMed
    Score: 0.214
  23. Deploying Clinical Process Improvement Strategies to Reduce Motion Artifacts and Expiratory Phase Scanning in Chest CT. Sci Rep. 2019 08 14; 9(1):11858.
    View in: PubMed
    Score: 0.207
  24. Radiation Dose for Multiregion CT Protocols: Challenges and Limitations. AJR Am J Roentgenol. 2019 11; 213(5):1100-1106.
    View in: PubMed
    Score: 0.207
  25. Deep learning in chest radiography: Detection of findings and presence of change. PLoS One. 2018; 13(10):e0204155.
    View in: PubMed
    Score: 0.195
  26. Should Dual-Energy Computed Tomography Pulmonary Angiography Replace Single-Energy Computed Tomography Pulmonary Angiography in Pregnant and Postpartum Patients? J Comput Assist Tomogr. 2018 Jan/Feb; 42(1):25-32.
    View in: PubMed
    Score: 0.185
  27. Submillisievert chest dual energy computed tomography: a pilot study. Br J Radiol. 2018 Feb; 91(1082):20170735.
    View in: PubMed
    Score: 0.184
  28. Dual-Energy CT: Spectrum of Thoracic Abnormalities. Radiographics. 2016 Jan-Feb; 36(1):38-52.
    View in: PubMed
    Score: 0.161
  29. Lung Cancer Screening: Computed Tomography Radiation and Protocols. J Thorac Imaging. 2015 Sep; 30(5):283-9.
    View in: PubMed
    Score: 0.158
  30. Dose reduction for chest CT: comparison of two iterative reconstruction techniques. Acta Radiol. 2015 Jun; 56(6):688-95.
    View in: PubMed
    Score: 0.145
  31. Radiation dose optimization and thoracic computed tomography. Radiol Clin North Am. 2014 Jan; 52(1):1-15.
    View in: PubMed
    Score: 0.138
  32. Sinogram-affirmed iterative reconstruction of low-dose chest CT: effect on image quality and radiation dose. AJR Am J Roentgenol. 2013 Aug; 201(2):W235-44.
    View in: PubMed
    Score: 0.136
  33. Radiation dose reduction for chest CT with non-linear adaptive filters. Acta Radiol. 2013 Mar 01; 54(2):169-74.
    View in: PubMed
    Score: 0.130
  34. Imaging findings of pericardial metastasis on chest computed tomography. J Comput Assist Tomogr. 2010 Jul; 34(4):554-8.
    View in: PubMed
    Score: 0.110
  35. FDG PET/CT in assessment of pulmonary lymphangitic carcinomatosis. AJR Am J Roentgenol. 2010 Jan; 194(1):231-6.
    View in: PubMed
    Score: 0.106
  36. Dual-energy computed tomographic pulmonary angiography: a pilot study to assess the effect on image quality and diagnostic confidence. J Comput Assist Tomogr. 2010 Jan; 34(1):46-51.
    View in: PubMed
    Score: 0.106
  37. Is weight-based adjustment of automatic exposure control necessary for the reduction of chest CT radiation dose? Korean J Radiol. 2010 Jan-Feb; 11(1):46-53.
    View in: PubMed
    Score: 0.106
  38. A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records. Eur J Radiol. 2021 Jun; 139:109583.
    View in: PubMed
    Score: 0.057
  39. Quantification of interstitial fluid on whole body CT: comparison with whole body autopsy. Forensic Sci Med Pathol. 2015 Dec; 11(4):488-96.
    View in: PubMed
    Score: 0.040
  40. The 10 Pillars of Lung Cancer Screening: Rationale and Logistics of a Lung Cancer Screening Program. Radiographics. 2015 Nov-Dec; 35(7):1893-908.
    View in: PubMed
    Score: 0.040
  41. Adaptive statistical iterative reconstruction technique for radiation dose reduction in chest CT: a pilot study. Radiology. 2011 May; 259(2):565-73.
    View in: PubMed
    Score: 0.029
  42. Diffuse lung disease: CT of the chest with adaptive statistical iterative reconstruction technique. Radiology. 2010 Jul; 256(1):261-9.
    View in: PubMed
    Score: 0.028
  43. Reversible locoregional lymph node enlargement after radiofrequency ablation of lung tumors. AJR Am J Roentgenol. 2010 May; 194(5):1250-6.
    View in: PubMed
    Score: 0.027
  44. Alterations of anatomic relationships on chest computed tomography as a function of arm position. J Comput Assist Tomogr. 2010 Mar-Apr; 34(2):285-9.
    View in: PubMed
    Score: 0.027
  45. Radiation dose reduction with chest computed tomography using adaptive statistical iterative reconstruction technique: initial experience. J Comput Assist Tomogr. 2010 Jan; 34(1):40-5.
    View in: PubMed
    Score: 0.027
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.