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Items: 1 to 50 of 102

1.

TBCRC 032 IB/II Multicenter Study: Molecular insights to AR antagonist and PI3K inhibitor efficacy in patients with AR+ metastatic triple-negative breast cancer.

Lehmann BD, Abramson VG, Sanders M, Mayer EL, Haddad T, Nanda R, Van Poznak C, Storniolo AM, Nangia JR, Gonzalez-Ericsson PI, Sanchez V, Johnson KN, Abramson RG, Chen SC, Shyr Y, Arteaga CL, Wolff AC, Pietenpol JA.

Clin Cancer Res. 2019 Dec 10. pii: clincanres.2170.2019. doi: 10.1158/1078-0432.CCR-19-2170. [Epub ahead of print]

PMID:
31822498
2.

Stochastic tissue window normalization of deep learning on computed tomography.

Huo Y, Tang Y, Chen Y, Gao D, Han S, Bao S, De S, Terry JG, Carr JJ, Abramson RG, Landman BA.

J Med Imaging (Bellingham). 2019 Oct;6(4):044005. doi: 10.1117/1.JMI.6.4.044005. Epub 2019 Nov 20.

PMID:
31763353
3.

Anti-PD-1-Induced Pneumonitis Is Associated with Persistent Imaging Abnormalities in Melanoma Patients.

Johnson DB, Taylor KB, Cohen JV, Ayoubi N, Haugh AM, Wang DY, Schlick BD, Voorhees AL, Gage KL, Fintelmann FJ, Sullivan RJ, Eroglu Z, Abramson RG.

Cancer Immunol Res. 2019 Nov;7(11):1755-1759. doi: 10.1158/2326-6066.CIR-18-0717. Epub 2019 Aug 28.

PMID:
31462410
4.

Translating preclinical MRI methods to clinical oncology.

Hormuth DA 2nd, Sorace AG, Virostko J, Abramson RG, Bhujwalla ZM, Enriquez-Navas P, Gillies R, Hazle JD, Mason RP, Quarles CC, Weis JA, Whisenant JG, Xu J, Yankeelov TE.

J Magn Reson Imaging. 2019 Nov;50(5):1377-1392. doi: 10.1002/jmri.26731. Epub 2019 Mar 29. Review.

PMID:
30925001
5.

The Impact of Arterial Input Function Determination Variations on Prostate Dynamic Contrast-Enhanced Magnetic Resonance Imaging Pharmacokinetic Modeling: A Multicenter Data Analysis Challenge, Part II.

Huang W, Chen Y, Fedorov A, Li X, Jajamovich GH, Malyarenko DI, Aryal MP, LaViolette PS, Oborski MJ, O'Sullivan F, Abramson RG, Jafari-Khouzani K, Afzal A, Tudorica A, Moloney B, Gupta SN, Besa C, Kalpathy-Cramer J, Mountz JM, Laymon CM, Muzi M, Kinahan PE, Schmainda K, Cao Y, Chenevert TL, Taouli B, Yankeelov TE, Fennessy F, Li X.

Tomography. 2019 Mar;5(1):99-109. doi: 10.18383/j.tom.2018.00027.

6.

Acceleration of spleen segmentation with end-to-end deep learning method and automated pipeline.

Moon H, Huo Y, Abramson RG, Peters RA, Assad A, Moyo TK, Savona MR, Landman BA.

Comput Biol Med. 2019 Apr;107:109-117. doi: 10.1016/j.compbiomed.2019.01.018. Epub 2019 Feb 5.

PMID:
30798219
7.

Genomic landscape of a metastatic malignant proliferating tricholemmal tumor and its response to PI3K inhibition.

Gallant JN, Sewell A, Almodovar K, Wang Q, Dahlman KB, Abramson RG, Kapp ME, Brown BT, Boyd KL, Gilbert J, Cohen DN, Yarbrough WG, Zhao Z, Lovly CM.

NPJ Precis Oncol. 2019 Feb 15;3:5. doi: 10.1038/s41698-019-0077-2. eCollection 2019.

8.

Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks.

Huo Y, Xu Z, Bao S, Bermudez C, Moon H, Parvathaneni P, Moyo TK, Savona MR, Assad A, Abramson RG, Landman BA.

IEEE Trans Med Imaging. 2019 May;38(5):1185-1196. doi: 10.1109/TMI.2018.2881110. Epub 2018 Nov 13.

PMID:
30442602
9.

Automated Characterization of Body Composition and Frailty with Clinically Acquired CT.

Hu P, Huo Y, Kong D, Carr JJ, Abramson RG, Hartley KG, Landman BA.

Comput Methods Clin Appl Musculoskelet Imaging (2017). 2018;10734:25-35. doi: 10.1007/978-3-319-74113-0_3. Epub 2018 Jan 10.

10.

SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth.

Huo Y, Xu Z, Moon H, Bao S, Assad A, Moyo TK, Savona MR, Abramson RG, Landman BA.

IEEE Trans Med Imaging. 2018 Oct 17. doi: 10.1109/TMI.2018.2876633. [Epub ahead of print]

PMID:
30334788
11.

Creating Value through Incremental Innovation: Managing Culture, Structure, and Process.

Rubin GD, Abramson RG.

Radiology. 2018 Aug;288(2):330-340. doi: 10.1148/radiol.2018171239. Epub 2018 Jul 3. Review.

PMID:
29969069
12.

Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks.

Huo Y, Xu Z, Bao S, Bermudez C, Plassard AJ, Liu J, Yao Y, Assad A, Abramson RG, Landman BA.

Proc SPIE Int Soc Opt Eng. 2018 Mar;10574. pii: 1057409. doi: 10.1117/12.2293406.

13.

Fully Convolutional Neural Networks Improve Abdominal Organ Segmentation.

Bobo MF, Bao S, Huo Y, Yao Y, Virostko J, Plassard AJ, Lyu I, Assad A, Abramson RG, Hilmes MA, Landman BA.

Proc SPIE Int Soc Opt Eng. 2018 Mar;10574. pii: 105742V. doi: 10.1117/12.2293751.

14.

On Quality Metrics and Quantitative Imaging.

Abramson RG.

Radiology. 2018 May;287(2):367-372. doi: 10.1148/radiol.2017171766. No abstract available.

PMID:
29668412
15.

Repeatability, reproducibility, and accuracy of quantitative mri of the breast in the community radiology setting.

Sorace AG, Wu C, Barnes SL, Jarrett AM, Avery S, Patt D, Goodgame B, Luci JJ, Kang H, Abramson RG, Yankeelov TE, Virostko J.

J Magn Reson Imaging. 2018 Mar 23. doi: 10.1002/jmri.26011. [Epub ahead of print]

16.

Robust Multicontrast MRI Spleen Segmentation for Splenomegaly Using Multi-Atlas Segmentation.

Huo Y, Liu J, Xu Z, Harrigan RL, Assad A, Abramson RG, Landman BA.

IEEE Trans Biomed Eng. 2018 Feb;65(2):336-343. doi: 10.1109/TBME.2017.2764752.

17.

Combining multiparametric MRI with receptor information to optimize prediction of pathologic response to neoadjuvant therapy in breast cancer: preliminary results.

Kang H, Hainline A, Arlinghaus LR, Elderidge S, Li X, Abramson VG, Chakravarthy AB, Abramson RG, Bingham B, Fakhoury K, Yankeelov TE.

J Med Imaging (Bellingham). 2018 Jan;5(1):011015. doi: 10.1117/1.JMI.5.1.011015. Epub 2017 Dec 29.

18.

Dynamic contrast-enhanced magnetic resonance imaging and diffusion-weighted magnetic resonance imaging for predicting the response of locally advanced breast cancer to neoadjuvant therapy: a meta-analysis.

Virostko J, Hainline A, Kang H, Arlinghaus LR, Abramson RG, Barnes SL, Blume JD, Avery S, Patt D, Goodgame B, Yankeelov TE, Sorace AG.

J Med Imaging (Bellingham). 2018 Jan;5(1):011011. doi: 10.1117/1.JMI.5.1.011011. Epub 2017 Nov 24.

19.

The Attenuation Distribution Across the Long Axis of Breast Cancer Liver Metastases at CT: A Quantitative Biomarker for Predicting Overall Survival.

Abramson RG, Lakomkin N, Hainline A, Kang H, Hutson MS, Arteaga CL.

AJR Am J Roentgenol. 2018 Jan;210(1):W1-W7. doi: 10.2214/AJR.17.18249. Epub 2017 Oct 24.

PMID:
29064750
20.

Building a Hospital Core Resource for Clinical Research Imaging: Lessons for Driving Change Within Complex Organizations.

Abramson RG, McGhee CR, Meyn SM, Coleman K, Gomillion J, Beller M, Fry J, Bauer GA, Knuutila RJ, Pierce R, Patton JA, Omary RA.

J Am Coll Radiol. 2017 Oct;14(10):1359-1362. doi: 10.1016/j.jacr.2017.04.015. Epub 2017 Aug 12. No abstract available.

PMID:
28807388
21.

Multi-Atlas Spleen Segmentation on CT Using Adaptive Context Learning.

Liu J, Huo Y, Xu Z, Assad A, Abramson RG, Landman BA.

Proc SPIE Int Soc Opt Eng. 2017 Feb 11;10133. pii: 1013309. doi: 10.1117/12.2254437. Epub 2017 Feb 24.

22.

Multi-atlas Segmentation Enables Robust Multi-contrast MRI Spleen Segmentation for Splenomegaly.

Huo Y, Liu J, Xu Z, Harrigan RL, Assad A, Abramson RG, Landman BA.

Proc SPIE Int Soc Opt Eng. 2017 Feb 11;10133. pii: 101330A. doi: 10.1117/12.2254147. Epub 2017 Feb 24.

23.

Quantitative Magnetization Transfer Imaging of the Breast at 3.0 T: Reproducibility in Healthy Volunteers.

Arlinghaus LR, Dortch RD, Whisenant JG, Kang H, Abramson RG, Yankeelov TE.

Tomography. 2016 Dec;2(4):260-266. doi: 10.18383/j.tom.2016.00142.

24.

Towards real-time topical detection and characterization of FDG dose infiltration prior to PET imaging.

Williams JM, Arlinghaus LR, Rani SD, Shone MD, Abramson VG, Pendyala P, Chakravarthy AB, Gorge WJ, Knowland JG, Lattanze RK, Perrin SR, Scarantino CW, Townsend DW, Abramson RG, Yankeelov TE.

Eur J Nucl Med Mol Imaging. 2016 Dec;43(13):2374-2380. Epub 2016 Aug 25.

25.

Improving Spleen Volume Estimation Via Computer-assisted Segmentation on Clinically Acquired CT Scans.

Xu Z, Gertz AL, Burke RP, Bansal N, Kang H, Landman BA, Abramson RG.

Acad Radiol. 2016 Oct;23(10):1214-20. doi: 10.1016/j.acra.2016.05.015. Epub 2016 Aug 9.

26.

Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT.

Xu Z, Lee CP, Heinrich MP, Modat M, Rueckert D, Ourselin S, Abramson RG, Landman BA.

IEEE Trans Biomed Eng. 2016 Aug;63(8):1563-72. doi: 10.1109/TBME.2016.2574816. Epub 2016 Jun 1.

27.

The Impact of Arterial Input Function Determination Variations on Prostate Dynamic Contrast-Enhanced Magnetic Resonance Imaging Pharmacokinetic Modeling: A Multicenter Data Analysis Challenge.

Huang W, Chen Y, Fedorov A, Li X, Jajamovich GH, Malyarenko DI, Aryal MP, LaViolette PS, Oborski MJ, O'Sullivan F, Abramson RG, Jafari-Khouzani K, Afzal A, Tudorica A, Moloney B, Gupta SN, Besa C, Kalpathy-Cramer J, Mountz JM, Laymon CM, Muzi M, Schmainda K, Cao Y, Chenevert TL, Taouli B, Yankeelov TE, Fennessy F, Li X.

Tomography. 2016 Mar;2(1):56-66.

28.

Whole Abdominal Wall Segmentation using Augmented Active Shape Models (AASM) with Multi-Atlas Label Fusion and Level Set.

Xu Z, Baucom RB, Abramson RG, Poulose BK, Landman BA.

Proc SPIE Int Soc Opt Eng. 2016 Feb 27;9784. pii: 97840U. Epub 2016 Mar 21.

29.

Evaluation of Body-Wise and Organ-Wise Registrations For Abdominal Organs.

Xu Z, Panjwani SA, Lee CP, Burke RP, Baucom RB, Poulose BK, Abramson RG, Landman BA.

Proc SPIE Int Soc Opt Eng. 2016 Feb 27;9784. pii: 97841O. Epub 2016 Mar 21.

30.

Phase I trial of vorinostat added to chemoradiation with capecitabine in pancreatic cancer.

Chan E, Arlinghaus LR, Cardin DB, Goff L, Berlin JD, Parikh A, Abramson RG, Yankeelov TE, Hiebert S, Merchant N, Bhaskara S, Chakravarthy AB.

Radiother Oncol. 2016 May;119(2):312-8. doi: 10.1016/j.radonc.2016.04.013. Epub 2016 Apr 19.

31.

The Attenuation Distribution Across the Long Axis (ADLA): Preliminary Findings for Assessing Response to Cancer Treatment.

Lakomkin N, Kang H, Landman B, Hutson MS, Abramson RG.

Acad Radiol. 2016 Jun;23(6):718-23. doi: 10.1016/j.acra.2016.02.007. Epub 2016 Apr 1.

32.

MR Imaging Biomarkers in Oncology Clinical Trials.

Abramson RG, Arlinghaus LR, Dula AN, Quarles CC, Stokes AM, Weis JA, Whisenant JG, Chekmenev EY, Zhukov I, Williams JM, Yankeelov TE.

Magn Reson Imaging Clin N Am. 2016 Feb;24(1):11-29. doi: 10.1016/j.mric.2015.08.002. Review.

33.

Quantitative CT Imaging of Ventral Hernias: Preliminary Validation of an Anatomical Labeling Protocol.

Xu Z, Asman AJ, Baucom RB, Abramson RG, Poulose BK, Landman BA.

PLoS One. 2015 Oct 28;10(10):e0141671. doi: 10.1371/journal.pone.0141671. eCollection 2015.

34.

Comparison of prone versus supine 18F-FDG-PET of locally advanced breast cancer: Phantom and preliminary clinical studies.

Williams JM, Rani SD, Li X, Arlinghaus LR, Lee TC, MacDonald LR, Partridge SC, Kang H, Whisenant JG, Abramson RG, Linden HM, Kinahan PE, Yankeelov TE.

Med Phys. 2015 Jul;42(7):3801-13. doi: 10.1118/1.4921363.

35.

Efficient multi-atlas abdominal segmentation on clinically acquired CT with SIMPLE context learning.

Xu Z, Burke RP, Lee CP, Baucom RB, Poulose BK, Abramson RG, Landman BA.

Med Image Anal. 2015 Aug;24(1):18-27. doi: 10.1016/j.media.2015.05.009. Epub 2015 May 21.

36.

Clinical Activity of Ipilimumab in Acral Melanoma: A Retrospective Review.

Johnson DB, Peng C, Abramson RG, Ye F, Zhao S, Wolchok JD, Sosman JA, Carvajal RD, Ariyan CE.

Oncologist. 2015 Jun;20(6):648-52. doi: 10.1634/theoncologist.2014-0468. Epub 2015 May 11.

37.

Multi-Atlas Segmentation for Abdominal Organs with Gaussian Mixture Models.

Burke RP, Xu Z, Lee CP, Baucom RB, Poulose BK, Abramson RG, Landman BA.

Proc SPIE Int Soc Opt Eng. 2015 Mar 17;9417. pii: 941707.

38.

Efficient Abdominal Segmentation on Clinically Acquired CT with SIMPLE Context Learning.

Xu Z, Burke RP, Lee CP, Baucom RB, Poulose BK, Abramson RG, Landman BA.

Proc SPIE Int Soc Opt Eng. 2015 Mar 20;9413. pii: 94130L.

39.

Evaluation of Five Image Registration Tools for Abdominal CT: Pitfalls and Opportunities with Soft Anatomy.

Lee CP, Xu Z, Burke RP, Baucom RB, Poulose BK, Abramson RG, Landman BA.

Proc SPIE Int Soc Opt Eng. 2015 Mar 20;9413. pii: 94131N.

40.

Prone Versus Supine Breast FDG-PET/CT for Assessing Locoregional Disease Distribution in Locally Advanced Breast Cancer.

Abramson RG, Lambert KF, Jones-Jackson LB, Arlinghaus LR, Williams J, Abramson VG, Chakravarthy AB, Yankeelov TE.

Acad Radiol. 2015 Jul;22(7):853-9. doi: 10.1016/j.acra.2015.02.012. Epub 2015 Apr 10.

41.

Pitfalls in RECIST Data Extraction for Clinical Trials: Beyond the Basics.

Abramson RG, McGhee CR, Lakomkin N, Arteaga CL.

Acad Radiol. 2015 Jun;22(6):779-86. doi: 10.1016/j.acra.2015.01.015. Epub 2015 Mar 18. Review.

42.

VIDA: a voxel-based dosimetry method for targeted radionuclide therapy using Geant4.

Kost SD, Dewaraja YK, Abramson RG, Stabin MG.

Cancer Biother Radiopharm. 2015 Feb;30(1):16-26. doi: 10.1089/cbr.2014.1713. Epub 2015 Jan 16.

43.

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.

44.

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. Epub 2014 Oct 22. Review.

45.

Multiparametric magnetic resonance imaging for predicting pathological response after the first cycle of neoadjuvant chemotherapy in breast cancer.

Li X, Abramson RG, Arlinghaus LR, Kang H, Chakravarthy AB, Abramson VG, Farley J, Mayer IA, Kelley MC, Meszoely IM, Means-Powell J, Grau AM, Sanders M, Yankeelov TE.

Invest Radiol. 2015 Apr;50(4):195-204. doi: 10.1097/RLI.0000000000000100.

46.

SIMPLE is a good idea (and better with context learning).

Xu Z, Asman AJ, Shanahan PL, Abramson RG, Landman BA.

Med Image Comput Comput Assist Interv. 2014;17(Pt 1):364-71.

47.

Quantitative multimodality imaging in cancer research and therapy.

Yankeelov TE, Abramson RG, Quarles CC.

Nat Rev Clin Oncol. 2014 Nov;11(11):670-80. doi: 10.1038/nrclinonc.2014.134. Epub 2014 Aug 12. Review.

48.

Hepatobiliary imaging.

Liu PS, Abramson RG.

Magn Reson Imaging Clin N Am. 2014 Aug;22(3):xv-xvi. doi: 10.1016/j.mric.2014.05.003. No abstract available.

PMID:
25086942
49.

Shape-Constrained Multi-Atlas Segmentation of Spleen in CT.

Xu Z, Li B, Panda S, Asman AJ, Merkle KL, Shanahan PL, Abramson RG, Landman BA.

Proc SPIE Int Soc Opt Eng. 2014 Mar 21;9034:903446.

50.

Longitudinal, intermodality registration of quantitative breast PET and MRI data acquired before and during neoadjuvant chemotherapy: preliminary results.

Atuegwu NC, Li X, Arlinghaus LR, Abramson RG, Williams JM, Chakravarthy AB, Abramson VG, Yankeelov TE.

Med Phys. 2014 May;41(5):052302. doi: 10.1118/1.4870966.

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