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Results: 1 to 20 of 111

1.

Multiattribute probabilistic prostate elastic registration (MAPPER): Application to fusion of ultrasound and magnetic resonance imaging.

Sparks R, Nicolas Bloch B, Feleppa E, Barratt D, Moses D, Ponsky L, Madabhushi A.

Med Phys. 2015 Mar;42(3):1153. doi: 10.1118/1.4905104.

PMID:
25735270
2.

Assessment of algorithms for mitosis detection in breast cancer histopathology images.

Veta M, van Diest PJ, Willems SM, Wang H, Madabhushi A, Cruz-Roa A, Gonzalez F, Larsen AB, Vestergaard JS, Dahl AB, Cireşan DC, Schmidhuber J, Giusti A, Gambardella LM, Tek FB, Walter T, Wang CW, Kondo S, Matuszewski BJ, Precioso F, Snell V, Kittler J, de Campos TE, Khan AM, Rajpoot NM, Arkoumani E, Lacle MM, Viergever MA, Pluim JP.

Med Image Anal. 2015 Feb;20(1):237-48. doi: 10.1016/j.media.2014.11.010. Epub 2014 Nov 29.

PMID:
25547073
3.

Identifying MRI markers associated with early response following laser ablation for neurological disorders: preliminary findings.

Tiwari P, Danish S, Madabhushi A.

PLoS One. 2014 Dec 11;9(12):e114293. doi: 10.1371/journal.pone.0114293. eCollection 2014.

4.

Selective invocation of shape priors for deformable segmentation and morphologic classification of prostate cancer tissue microarrays.

Ali S, Veltri R, Epstein JI, Christudass C, Madabhushi A.

Comput Med Imaging Graph. 2015 Apr;41:3-13. doi: 10.1016/j.compmedimag.2014.11.001. Epub 2014 Nov 12.

PMID:
25466771
5.

NCI Workshop Report: Clinical and Computational Requirements for Correlating Imaging Phenotypes with Genomics Signatures.

Colen R, Foster I, Gatenby R, Giger ME, Gillies R, Gutman D, Heller M, Jain R, Madabhushi A, Madhavan S, Napel S, Rao A, Saltz J, Tatum J, Verhaak R, Whitman G.

Transl Oncol. 2014 Oct 24;7(5):556-69. doi: 10.1016/j.tranon.2014.07.007. eCollection 2014 Oct.

6.

Identifying Quantitative In Vivo Multi-Parametric MRI Features For Treatment Related Changes after Laser Interstitial Thermal Therapy of Prostate Cancer.

Viswanath S, Toth R, Rusu M, Sperling D, Lepor H, Futterer J, Madabhushi A.

Neurocomputing. 2014 Nov 20;144:13-23.

PMID:
25346574
7.

Selecting features with group-sparse nonnegative supervised canonical correlation analysis: multimodal prostate cancer prognosis.

Wang H, Singanamalli A, Ginsburg S, Madabhushi A.

Med Image Comput Comput Assist Interv. 2014;17(Pt 3):385-92.

PMID:
25320823
8.

Co-occurrence of local anisotropic gradient orientations (CoLIAGe): distinguishing tumor confounders and molecular subtypes on MRI.

Prasanna P, Tiwari P, Madabhushi A.

Med Image Comput Comput Assist Interv. 2014;17(Pt 3):73-80.

PMID:
25320784
9.

A Domain Constrained Deformable (DoCD) Model for Co-registration of Pre- and Post-Radiated Prostate MRI.

Toth R, Traughber B, Ellis R, Kurhanewicz J, Madabhushi A.

Neurocomputing. 2014 Nov 20;114:3-12.

PMID:
25267873
10.

A Learning Based Fiducial-driven Registration Scheme for Evaluating Laser Ablation Changes in Neurological Disorders.

Wan T, Bloch BN, Danish S, Madabhushi A.

Neurocomputing. 2014 Nov 20;144:24-37.

PMID:
25225455
11.

Supervised multi-view canonical correlation analysis (sMVCCA): integrating histologic and proteomic features for predicting recurrent prostate cancer.

Lee G, Singanamalli A, Wang H, Feldman MD, Master SR, Shih NN, Spangler E, Rebbeck T, Tomaszewski JE, Madabhushi A.

IEEE Trans Med Imaging. 2015 Jan;34(1):284-97. doi: 10.1109/TMI.2014.2355175. Epub 2014 Sep 5.

PMID:
25203987
12.
13.

Prostatome: a combined anatomical and disease based MRI atlas of the prostate.

Rusu M, Bloch BN, Jaffe CC, Genega EM, Lenkinski RE, Rofsky NM, Feleppa E, Madabhushi A.

Med Phys. 2014 Jul;41(7):072301. doi: 10.1118/1.4881515.

PMID:
24989400
14.

Novel PCA-VIP scheme for ranking MRI protocols and identifying computer-extracted MRI measurements associated with central gland and peripheral zone prostate tumors.

Ginsburg SB, Viswanath SE, Bloch BN, Rofsky NM, Genega EM, Lenkinski RE, Madabhushi A.

J Magn Reson Imaging. 2014 Jun 18. doi: 10.1002/jmri.24676. [Epub ahead of print]

PMID:
24943647
15.

Co-occurring gland angularity in localized subgraphs: predicting biochemical recurrence in intermediate-risk prostate cancer patients.

Lee G, Sparks R, Ali S, Shih NN, Feldman MD, Spangler E, Rebbeck T, Tomaszewski JE, Madabhushi A.

PLoS One. 2014 May 29;9(5):e97954. doi: 10.1371/journal.pone.0097954. eCollection 2014.

16.

Histostitcher™: An informatics software platform for reconstructing whole-mount prostate histology using the extensible imaging platform framework.

Toth RJ, Shih N, Tomaszewski JE, Feldman MD, Kutter O, Yu DN, Paulus JC Jr, Paladini G, Madabhushi A.

J Pathol Inform. 2014 Mar 28;5:8. doi: 10.4103/2153-3539.129441. eCollection 2014.

17.

Spatio-temporal texture (SpTeT) for distinguishing vulnerable from stable atherosclerotic plaque on dynamic contrast enhancement (DCE) MRI in a rabbit model.

Wan T, Madabhushi A, Phinikaridou A, Hamilton JA, Hua N, Pham T, Danagoulian J, Kleiman R, Buckler AJ.

Med Phys. 2014 Apr;41(4):042303. doi: 10.1118/1.4867861.

18.

Computerized image analysis for identifying triple-negative breast cancers and differentiating them from other molecular subtypes of breast cancer on dynamic contrast-enhanced MR images: a feasibility study.

Agner SC, Rosen MA, Englander S, Tomaszewski JE, Feldman MD, Zhang P, Mies C, Schnall MD, Madabhushi A.

Radiology. 2014 Jul;272(1):91-9. doi: 10.1148/radiol.14121031. Epub 2014 Mar 10.

PMID:
24620909
19.

A deep learning architecture for image representation, visual interpretability and automated basal-cell carcinoma cancer detection.

Cruz-Roa AA, Arevalo Ovalle JE, Madabhushi A, González Osorio FA.

Med Image Comput Comput Assist Interv. 2013;16(Pt 2):403-10.

PMID:
24579166
20.

Variable importance in nonlinear kernels (VINK): classification of digitized histopathology.

Ginsburg S, Ali S, Lee G, Basavanhally A, Madabhushi A.

Med Image Comput Comput Assist Interv. 2013;16(Pt 2):238-45.

PMID:
24579146
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