Peer Reviewed Publications

Tiwari P, Prasanna P, Wolansky L, Sloan A, Cohen M, Rogers L, Madabhushi A, Can Computer-extracted texture features distinguish Radiation Necrosis from Recurrent Brain Tumors on multi-parametric MRI? – A Feasibility Study, American Journal of Neuro Radiology  (provisionally accepted).

Tiwari P, Danish S, Madabhushi A, Association of computerized texture features on MRI with early treatment response following laser ablation for neuropathic cancer pain: preliminary findings, Journal of Medical Imaging, 2(4), 041008, 2015.Pubmed SPIE Digital Library

Tiwari P, Danish S, Madabhushi A, Identifying MRI Markers Associated with Early Response following Laser Ablation for Neurological Disorders: Preliminary Findings, PlosOne, 2014, Dec 11;9(12):e114293. doi: 10.1371/journal.pone.0114293. eCollection 2014. Pubmed   

Tiwari, P*, Prasanna, P*, Madabhushi, A, “Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe):  Distinguishing tumor confounders and molecular subtypes on MRI,” In Proc of Medical Image Computing and Computer Assisted Interventions (MICCAI), vol. 17[3], pp. 73-80, 2014. (*joint first authors) (Young Scientist Award, runners up, selected as oral presentation, Acceptance rate = 4%) Pubmed

Tiwari, P, Rogers, L, Wolansky, L, Madabhushi, A, “Differentiating recurrent glioblastoma multiforme from radiation induced effects via texture analysis on multi-parametric MRI”, The International Society for Optics and Photonics (SPIE) Medical Imaging, 2014 (Honorable Mention for Best Poster Presentation, Conference on Computer Aided Diagnosis) Pubmed

Tiwari, P, Shabbar, D, Madabhushi, A, “Identifying MRI markers to evaluate early treatment related changes post laser ablation for cancer pain management,” The International Society for Optics and Photonics (SPIE) Medical Imaging, 2014, (Cum Laude for Best Poster Presentation, Conference on Image Guided Interventions) Pubmed.

Tiwari P, Kurhanewicz J, Madabhushi A, Multi-Kernel Graph Embedding for Detection and Gleason Grading of Prostate Cancer In vivo using Multi-Protocol Magnetic Resonance Imaging, MeDIA, 7(2): 219-35, 2013. Pubmed

Tiwari, P, Danish, S, Wong, S, Madabhushi A, “Quantitative Evaluation of Multi-parametric MR Imaging Marker Changes Post-laser Interstitial Ablation Therapy (LITT) for Epilepsy,” The International Society for Optics and Photonics (SPIE) Medical Imaging, 2013 Pubmed.

Tiwari P, Viswanath S, Kurhanewicz J, Madabhushi, A, Multimodal Wavelet Embedding Representation for data Combination (MaWERiC): Integrating Magnetic Resonance Imaging and Spectroscopy for Prostate Cancer Detection, NMR in Biomedicine, 25: 607–619, 2012. Pubmed

Toth R, Tiwari P, Rosen M, Madabhushi A, “A Magnetic Resonance Spectroscopy driven Initialization Scheme for Active Shape Model based Prostate Segmentation,” Medical Image Analysis, vol. 15[2], pp. 214-225, 2011 Pubmed.

Tiwari, P, Viswanath, S, Kurhanewicz, J, Madabhushi, A, “Weighted Combination of Multi-parametric MR Imaging markers for Evaluating Radiation Therapy changes in the prostate”, Workshop on Prostate Cancer Imaging, In Conjunction with The Medical Image Computing and Computer Assisted Intervention Society (MICCAI), vol. 2011, pp. 80-91, 2011. Springer

Ginsburg, S, Tiwari, P, Kurhanewicz, J, Madabhushi, A, “Variable Ranking with PCA: Finding Multiparametric MR Imaging Biomarkers for Prostate Cancer Diagnosis and Grading”, Workshop on Prostate Cancer Imaging, In Conjunction with The Medical Image Computing and Computer Assisted Intervention Society (MICCAI), vol. 2011, pp. 146-157, 2011.

Tiwari, P, Viswanath, S, Lee, G, Madabhushi, A, “Multi-modal data fusion schemes for integrated classification of imaging and non-imaging data”, Institute of Electrical and Electronics Engineers (IEEE) International Symposium on Biomedical Imaging, Chicago, IL, pp. 165-168, 2011. IEEE Digital Library

Viswanath, S, Tiwari, P, Chappelow, J, Toth, R, Kurhanewicz, J, Madabhushi, A, “CadOnc©: An Integrated Toolkit for Evaluating Radiation Therapy Related Changes in the Prostate Using Multi-Parametric MRI”, Institute of Electrical and Electronics Engineers (IEEE) International Symposium on Biomedical Imaging, Chicago, IL, vol. 2011, pp. 2095-98, 2011 IEEE Digital Library

Tiwari, P, Rosen, M, Kurhanewicz, J, Madabhushi, A, “Semi Supervised Multi Kernel (SeSMiK) Graph Embedding: Identifying aggressive prostate cancer via Magnetic Resonance Imaging and Spectroscopy”, In Proc of Medical Image Computing and Computer Assisted Interventions (MICCAI), vol. 13[3], pp. 666-673, 2010. (Acceptance rate = 31%) Pubmed

Tiwari, P, Viswanath, S, Rosen, M, Reed, G, Kurhanewicz, J, Madabhushi, A, “Multi-modal Integration of Magnetic Resonance Imaging and Spectroscopy for Detection of Prostate Cancer,” Conference on Biosignal Interpretation, 2009.

Tiwari, P, Rosen, Madabhushi, A, “A Hierarchical Spectral Clustering and Non-linear Dimensionality Reduction Scheme for Detection of Prostate Cancer from Magnetic Resonance Spectroscopy,” Medical Physics, vol. 36[9], pp. 3927-39, 2009 Pubmed

Tiwari, P, Rosen, M, Galen, P, Kurhanewicz, J, Madabhushi, A, “Spectral Embedding based Probabilistic boosting Tree (ScEPTre): Classifying High Dimensional Heterogeneous Biomedical Data,” Medical Image Computing and Computer Assisted Intervention (MICCAI) 2009, vol. 12[2], pp. 844–851, 2009. (Acceptance rate = 31%) Pubmed

Tiwari, P, Rosen, M, Madabhushi, A, “Consensus-Locally Linear Embedding (C-LLE): Application to Prostate Cancer Detection on Magnetic Resonance Spectroscopy,” Medical Image Computing and Computer Assisted Intervention (MICCAI) (1), Vol. 5242 of Lecture Notes in Computer Science, Springer, vol. 11[2], pp. 330-338, 2008. Pubmed

Toth, R, Tiwari, P, Rosen, M, Kalyanpur, A, Pungavkar, S, Madabhushi, A., “An Integrated Multi-modal Prostate Segmentation Scheme by Combining Magnetic Resonance Spectroscopy and Active Shape Models,” The International Society for Optics and Photonics (SPIE) Medical Imaging, vol. 6914(1), pp. 4S1-12, 2008.

Viswanath, S, Tiwari, P, Madabhushi, A, Rosen, M, “Quantitative Integration of Magnetic Resonance Spectroscopy and Magnetic Resonance Imaging In Vivo for Computer-aided Diagnosis of Prostate Cancer,” The International Society for Optics and Photonics (SPIE) Medical Imaging, vol. 6915(1), pp. 3D1-12, 2008 (Honorable Mention).

Tiwari, P, Madabhushi, A, Rosen, M, “A Hierarchical Unsupervised Spectral Clustering Scheme for Detection of Prostate Cancer from Magnetic Resonance Spectroscopy (MRS),” Medical Image Computing and Computer Assisted Intervention (MICCAI), vol. 4792, pp. 278-86, 2007 (Runner Up Award for Best Young Scientist Paper, selected as oral presentation, Acceptance rate 4%) Pubmed.

Editorials and invited articles

Madabhushi, A, Viswanath, S, Lee, G, Tiwari, P, “Medical Image Informatics for Personalized Medicine,” Critical Values, pp. 30-32, July 2013.

Peer Reviewed Abstracts

Wolansky, L, Mitra, J,  DiCamillo, PA, Cook, S, Cadavid, D, Richards, T,  Naismith, RT, Lancia, S, Tiwari, P, "A MRI-pharmacokinetic study of gadolinium deposition in the dentate nucleus in multiple sclerosis patients receiving serial triple-doses of Gd for 14 consecutive months", ECTRIMS, London, Sept 2016.

Hanson, G, Prasanna, P, Patel, J, Madabhushi, A, Tiwari, P, "Cerebrospinal fluid compression in cerebellum on treatment-naïve MRI might be an early indicator of poor survival in Glioblastoma: A preliminary study”, The International Society for Magnetic Resonance in Medicine (ISMRM) 24th Annual Meeting, Singapore, May 2016.

Prasanna, P, Rose, A, Singh, G, Huang, R, Madabhushi, A and Tiwari, P, "Radiomic features from the necrotic region on post-treatment Gadolinium T1w MRI appear to differentiate pseudo-progression from true tumor progression in primary brain tumors", The International Society for Magnetic Resonance in Medicine (ISMRM) 24th Annual Meeting, Singapore, May 2016.

Algohary, A, Prasanna, P, Zhou, Y, Tiwari, P, Viswanath, S, Madabhushi, A, "RadiomicsVizTM: A Software tool for visualization of novel radiomic representations", The International Society for Optics and Photonics (SPIE) Medical Imaging, 2016.

Tiwari, P, Prasanna, P, Patel, J, Madabhushi, A, “Computer extracted texture descriptors from different tissue compartments within the tumor habitat on treatment-naïve MRI predict clinical survival in glioblastoma patients”, Society of Neurooncology, 2015.

Prasanna, P, Siddalingappa, A, Wolansky, L, Rogers, L, Tai-Chung Lam, V, Madabhushi, A, Tiwari, P, “Morphologic heterogeneity at a pixel-level captured via entropy of gradient orientations on T1-post contrast MRI enables discrimination of tumor recurrence from cerebral radiation necrosis”, Society of Neurooncology, 2015.

Tiwari, P, Patel, J, Partovi, S, Prasanna, P, Madabhushi, A, “Computer extracted texture descriptors from different tissue compartments within the tumor habitat on treatment-naïve MRI predict clinical survival in glioblastoma patients”, Proceedings of the Radiologic Society of North America, 2015.

Prasanna, P, Tiwari, P, Siddalingappa, A, Wolansky, L, Rogers, L, Lam, TC, To, V, and Madabhushi, A, Study of contrast-enhanced T1-w MRI markers of cerebral radiation necrosis manifested in head-and-neck cancers, primary, and metastatic brain tumors: Preliminary findings, Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM), Toronto, Canada, 2015.

Tiwari, P, Prasanna, P, Barholtz-Sloan, J, Sloan, A, Ostrom, Q, Jiang, B, Madabhushi, A, “Quantitative texture descriptors on baseline-MRI can predict patient survival in newly diagnosed glioblastoma multiforme patients,” Annual Society for Neuro-oncology Scientific Meeting, 2014.

Tiwari, P, Prasanna, P, Rogers, L, Wolansky, Leo, Madabhushi, A, “Computer extracted oriented texture features on T1-Gadolinium MRI for distinguishing radiation necrosis from recurrent brain tumors,” Annual Society for Neuro-oncology Scientific Meeting, 2014.

Patel, J, Prasanna, P, Tiwari, P, Madabhushi, A, “Identifying MRI Markers On Newly Diagnosed Glioblastoma Multiforme To Distinguish Patients With Long And Short Term Survival,” Biomedical Engineering Society (BMES), 2014.

Tiwari, P, Danish, S, Madabhushi, A, “How long does the hippocampus take to settle down after MRI-guided laser ablation for refractory epilepsy? Proof of concept using a multi-parametric analysis of MRI markers,” Annual Meeting of the American Epilepsy Society, 2013.

Tiwari, P, Rogers, L, Wolansky, L, Madabhushi, A, “Computerized image analysis of texture descriptors in multi-parametric MRI to distinguish recurrent glioblastoma multiforme from radiation necrosis”, 4th Quadrennial Meeting of the World Federation of Neuro-Oncology held in conjunction with the 2013 Scientific Meeting and Education Day of the Society for Neuro-Oncology, San Francisco, CA, November 2013.

Tiwari, P, Shabbar, D, Wong, S, Madabhushi, A, “Quantitative Study of changes in multi-parametric MRI markers post-laser interstitial ablation therapy (LITT) for epilepsy,” The International Society for Magnetic Resonance in Medicine (ISMRM), 2013.

Tiwari, P, Kurhanewicz, J, Madabhushi, A, “A quantitative framework to study MRI related treatment changes in the prostate post-IMRT,” The International Society for Magnetic Resonance in Medicine (ISMRM), 2013.

Tiwari, P, Kurhanewicz, J, Madabhushi, A, “Computerized quantitative data integration of multi-protocol MRI for identification of high grade prostate cancer in vivo,” in Proc. International Society for Magnetic Resonance in Medicine (ISMRM), pp. 2640, 2011.

Viswanath, S, Chappelow, J, Tiwari, P, Kurhanewicz, J, Madabhushi, A, "CADOnc: A Computerized Decision Support System for Quantifying Radiation Therapy Changes in the Prostate via Multi-Parametric MRI,” in Proc. International Society for Magnetic Resonance in Medicine (ISMRM), pp. 2647, 2011.

Tiwari, P, Kurhanewicz, J, Madabhushi, A, “Multimodal Integration of Magnetic Resonance Imaging and Spectroscopy for Detection of Aggressive Prostate Cancer,” Innovative Minds in Prostate Cancer Today (IMPaCT), 2011.

Tiwari, P, Rosen, M, Madabhushi, A, “Automated detection of prostate cancer from high resolution in vivo MRS,” The International Society for Magnetic Resonance in Medicine (ISMRM), 2008.

Madabhushi, A, Chappelow, J, Viswanath, S, Toth, R, Tiwari, P, “Multi-protocol Prostate MR Image Analysis: Image Segmentation, Registration, and Computer-aided Diagnosis,” Workshop on Prostate Image Analysis, In Conjunction with The Medical Image Computing and Computer Assisted Intervention Society (MICCAI), 2008.