Format
Sort by

Send to

Choose Destination

Search results

Items: 1 to 20 of 51

1.

Automated computer-based CT stratification as a predictor of outcome in hypersensitivity pneumonitis.

Jacob J, Bartholmai BJ, Rajagopalan S, Karwoski R, Mak SM, Mok W, Della Casa G, Sugino K, Walsh SL, Wells AU, Hansell DM.

Eur Radiol. 2017 Jan 27. doi: 10.1007/s00330-016-4697-4. [Epub ahead of print]

PMID:
28130610
2.

Evaluation of computer-based computer tomography stratification against outcome models in connective tissue disease-related interstitial lung disease: a patient outcome study.

Jacob J, Bartholmai BJ, Rajagopalan S, Brun AL, Egashira R, Karwoski R, Kokosi M, Wells AU, Hansell DM.

BMC Med. 2016 Nov 23;14(1):190.

3.

Comparison of Total Lung Capacity Determined by Plethysmography With Computed Tomographic Segmentation Using CALIPER.

Matsumoto AJ, Bartholmai BJ, Wylam ME.

J Thorac Imaging. 2017 Mar;32(2):101-106. doi: 10.1097/RTI.0000000000000249.

PMID:
27870822
4.

Appreciating the shades of gray: a case for Computer-Aided Nodule Assessment and Risk Yield (CANARY)-based risk stratification of lung adenocarcinomas.

Maldonado F, Peikert T, Bartholmai BJ, Rajagopalan S, Karwoski RA.

J Thorac Dis. 2016 Oct;8(10):E1438-E1440. No abstract available.

5.

Mortality prediction in idiopathic pulmonary fibrosis: evaluation of computer-based CT analysis with conventional severity measures.

Jacob J, Bartholmai BJ, Rajagopalan S, Kokosi M, Nair A, Karwoski R, Walsh SL, Wells AU, Hansell DM.

Eur Respir J. 2017 Jan 25;49(1). pii: 1601011. doi: 10.1183/13993003.01011-2016.

PMID:
27811068
6.

Predictors of idiopathic pulmonary fibrosis in absence of radiologic honeycombing: A cross sectional analysis in ILD patients undergoing lung tissue sampling.

Salisbury ML, Xia M, Murray S, Bartholmai BJ, Kazerooni EA, Meldrum CA, Martinez FJ, Flaherty KR.

Respir Med. 2016 Sep;118:88-95. doi: 10.1016/j.rmed.2016.07.016.

PMID:
27578476
7.

Computer-Aided Nodule Assessment and Risk Yield Risk Management of Adenocarcinoma: The Future of Imaging?

Foley F, Rajagopalan S, Raghunath SM, Boland JM, Karwoski RA, Maldonado F, Bartholmai BJ, Peikert T.

Semin Thorac Cardiovasc Surg. 2016 Spring;28(1):120-6. doi: 10.1053/j.semtcvs.2015.12.015.

PMID:
27568149
8.

Automated Quantitative Computed Tomography Versus Visual Computed Tomography Scoring in Idiopathic Pulmonary Fibrosis: Validation Against Pulmonary Function.

Jacob J, Bartholmai BJ, Rajagopalan S, Kokosi M, Nair A, Karwoski R, Raghunath SM, Walsh SL, Wells AU, Hansell DM.

J Thorac Imaging. 2016 Sep;31(5):304-11. doi: 10.1097/RTI.0000000000000220.

PMID:
27262146
9.

Recombinant human pentraxin-2 therapy in patients with idiopathic pulmonary fibrosis: safety, pharmacokinetics and exploratory efficacy.

van den Blink B, Dillingh MR, Ginns LC, Morrison LD, Moerland M, Wijsenbeek M, Trehu EG, Bartholmai BJ, Burggraaf J.

Eur Respir J. 2016 Mar;47(3):889-97. doi: 10.1183/13993003.00850-2015.

PMID:
26869678
10.

Syntactic and semantic errors in radiology reports associated with speech recognition software.

Ringler MD, Goss BC, Bartholmai BJ.

Health Informatics J. 2015 Dec 3. pii: 1460458215613614. [Epub ahead of print]

PMID:
26635322
11.

Sensitivity of Thoracic Digital Tomosynthesis (DTS) for the Identification of Lung Nodules.

Langer SG, Graner BD, Schueler BA, Fetterly KA, Kofler JM, Mandrekar JN, Bartholmai BJ.

J Digit Imaging. 2016 Feb;29(1):141-7. doi: 10.1007/s10278-015-9818-0.

12.

Syntactic and Semantic Errors in Radiology Reports Associated With Speech Recognition Software.

Ringler MD, Goss BC, Bartholmai BJ.

Stud Health Technol Inform. 2015;216:922.

PMID:
26262224
13.

The effects of changes in utilization and technological advancements of cross-sectional imaging on radiologist workload.

McDonald RJ, Schwartz KM, Eckel LJ, Diehn FE, Hunt CH, Bartholmai BJ, Erickson BJ, Kallmes DF.

Acad Radiol. 2015 Sep;22(9):1191-8. doi: 10.1016/j.acra.2015.05.007.

PMID:
26210525
14.

Noninvasive Computed Tomography-based Risk Stratification of Lung Adenocarcinomas in the National Lung Screening Trial.

Maldonado F, Duan F, Raghunath SM, Rajagopalan S, Karwoski RA, Garg K, Greco E, Nath H, Robb RA, Bartholmai BJ, Peikert T.

Am J Respir Crit Care Med. 2015 Sep 15;192(6):737-44. doi: 10.1164/rccm.201503-0443OC.

15.

Pulmonary nodule characterization, including computer analysis and quantitative features.

Bartholmai BJ, Koo CW, Johnson GB, White DB, Raghunath SM, Rajagopalan S, Moynagh MR, Lindell RM, Hartman TE.

J Thorac Imaging. 2015 Mar;30(2):139-56. doi: 10.1097/RTI.0000000000000137. Review.

PMID:
25658478
16.

Methods and challenges in quantitative imaging biomarker development.

Abramson RG, Burton KR, Yu JP, Scalzetti EM, Yankeelov TE, Rosenkrantz AB, Mendiratta-Lala M, Bartholmai BJ, Ganeshan D, Lenchik L, Subramaniam RM.

Acad Radiol. 2015 Jan;22(1):25-32. doi: 10.1016/j.acra.2014.09.001. Review.

17.

Clinical utility of quantitative imaging.

Rosenkrantz AB, Mendiratta-Lala M, Bartholmai BJ, Ganeshan D, Abramson RG, Burton KR, Yu JP, Scalzetti EM, Yankeelov TE, Subramaniam RM, Lenchik L.

Acad Radiol. 2015 Jan;22(1):33-49. doi: 10.1016/j.acra.2014.08.011. Review.

18.

Noninvasive risk stratification of lung adenocarcinoma using quantitative computed tomography.

Raghunath S, Maldonado F, Rajagopalan S, Karwoski RA, DePew ZS, Bartholmai BJ, Peikert T, Robb RA.

J Thorac Oncol. 2014 Nov;9(11):1698-703. doi: 10.1097/JTO.0000000000000319.

19.

Active relearning for robust supervised training of emphysema patterns.

Raghunath S, Rajagopalan S, Karwoski RA, Bartholmai BJ, Robb RA.

J Digit Imaging. 2014 Aug;27(4):548-55. doi: 10.1007/s10278-014-9686-z.

20.

Quantitative stratification of diffuse parenchymal lung diseases.

Raghunath S, Rajagopalan S, Karwoski RA, Maldonado F, Peikert T, Moua T, Ryu JH, Bartholmai BJ, Robb RA.

PLoS One. 2014 Mar 27;9(3):e93229. doi: 10.1371/journal.pone.0093229.

Items per page

Supplemental Content

Loading ...
Support Center