Center for Computational Imaging and Personalized Diagnostics

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2021

Eck, B, Chirra PV, Muchhala A, Hall S, Bera K, Tiwari P, Madabhushi A, Seiberlich N, Viswanath SE. 2021. Prospective Evaluation of Repeatability and Robustness of Radiomic Descriptors in Healthy Brain Tissue Regions In Vivo Across Systematic Variations in T2-Weighted Magnetic Resonance Imaging Acquisition Parameters.. Journal of magnetic resonance imaging : JMRI. Abstract

2020

Verma, R, Correa R, Hill VB, Statsevych V, Bera K, Beig N, Mahammedi A, Madabhushi A, Ahluwalia M, Tiwari P. 2020. Tumor Habitat-derived Radiomic Features at Pretreatment MRI That Are Prognostic for Progression-free Survival in Glioblastoma Are Associated with Key Morphologic Attributes at Histopathologic Examination: A Feasibility Study.. Radiology. Artificial intelligence. 2(6):e190168. Abstract

Sadri, AR, Janowczyk A, Zhou R, Verma R, Beig N, Antunes J, Madabhushi A, Tiwari P, Viswanath SE. 2020. Technical Note: MRQy - An open-source tool for quality control of MR imaging data.. Medical physics. 47(12):6029-6038. Abstract

Ismail, M, Hill V, Statsevych V, Mason E, Correa R, Prasanna P, Singh G, Bera K, Thawani R, Ahluwalia M et al.. 2020. Can Tumor Location on Pre-treatment MRI Predict Likelihood of Pseudo-Progression vs. Tumor Recurrence in Glioblastoma?-A Feasibility Study. Frontiers in computational neuroscience. 14:563439. Abstract

2019

Beig, N, Khorrami MH, Alilou M, Prasanna P, Braman N, Orooji M, Rakshit S, Bera K, Rajiah P, Ginsberg J et al.. 2019. Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas.. Radiology. 290(3):783-792. Abstract

Prasanna, P, Mitra J, Beig N, Nayate A, Patel J, Ghose S, Thawani R, Partovi S, Madabhushi A, Tiwari P. 2019. Mass Effect Deformation Heterogeneity (MEDH) on Gadolinium-contrast T1-weighted MRI is associated with decreased survival in patients with right cerebral hemisphere Glioblastoma: A feasibility study.. Scientific reports. 9(1):1145. Abstract

Prasanna, P, Karnawat A, Ismail M, Madabhushi A, Tiwari P. 2019. Radiomics-based convolutional neural network for brain tumor segmentation on multiparametric magnetic resonance imaging.. Journal of medical imaging (Bellingham, Wash.). 6(2):024005. Abstract

2018

Beig, N, Patel J, Prasanna P, Hill V, Gupta A, Correa R, Bera K, Singh S, Partovi S, Varadan V et al.. 2018. Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma.. Scientific reports. 8(1):7. Abstract

Penzias, G, Singanamalli A, Elliott R, Gollamudi J, Shih N, Feldman M, Stricker PD, Delprado W, Tiwari S, Böhm M et al.. 2018. Identifying the morphologic basis for radiomic features in distinguishing different Gleason grades of prostate cancer on MRI: Preliminary findings.. PloS one. 13(8):e0200730. Abstract

2017

Braman, NM, Etesami M, Prasanna P, Dubchuk C, Gilmore H, Tiwari P, Plecha D, Madabhushi A. 2017. Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI.. Breast cancer research : BCR. 19(1):57. Abstract

Viswanath, SE, Tiwari P, Lee G, Madabhushi A. 2017. Dimensionality reduction-based fusion approaches for imaging and non-imaging biomedical data: concepts, workflow, and use-cases.. BMC medical imaging. 17(1):2. Abstract

2016

2015

Tiwari, P, Danish SF, Jiang B, Madabhushi A. 2015. Association of computerized texture features on MRI with early treatment response following laser ablation for neuropathic cancer pain: preliminary findings.. Journal of medical imaging (Bellingham, Wash.). 2(4):041008. Abstract

2014

Prasanna, P, Tiwari P, Madabhushi A. 2014. Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): Distinguishing Tumor Confounders and Molecular Subtypes on MRI. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 8675:73-80.

Tiwari, P, Danish S, Madabhushi A. 2014. Identifying MRI Markers Associated with Early Response following Laser Ablation for Neurological Disorders: Preliminary Findings.. PloS one. 9(12):e114293. Abstract

Tiwari, P, Prasanna P, Rogers L, Wolansky L, Badve C, Sloan A, Cohen M, Madabhushi A. 2014. Texture descriptors to distinguish radiation necrosis from recurrent brain tumors on multi-parametric MRI. SPIE Medical Imaging. 9035:90352B-90352B-12.

Tiwari, P, Danish S, Madabhushi A. 2014. Identifying MRI markers to evaluate early treatment-related changes post-laser ablation for cancer pain management. SPIE Medical Imaging. 9036:90362L-90362L-11.

2013

Tiwari, P, Kurhanewicz J, Madabhushi A. 2013. Multi-kernel graph embedding for detection, Gleason grading of prostate cancer via MRI/MRS.. Medical image analysis. 17(2):219-35. Abstract

Tiwari, P, Danish S, Wong S, Madabhushi A. 2013. Quantitative evaluation of multi-parametric MR imaging marker changes post-laser interstitial ablation therapy (LITT) for epilepsy. SPIE Medical Imaging. 8671:86711Y-86711Y-13.

2012

Tiwari, P, Viswanath SE, Kurhanewicz J, Sridhar A, Madabhushi A. 2012. Multimodal wavelet embedding representation for data combination (MaWERiC): integrating magnetic resonance imaging and spectroscopy for prostate cancer detection. NMR in Biomedicine. 25(4):607-19.

2011

Viswanath, SE, Tiwari P, Chappelow J, Toth R, Kurhanewicz J, Madabhushi A. 2011. CADOnc©: An Integrated Toolkit For Evaluating Radiation Therapy Related Changes In The Prostate Using Multiparametric MRI. IEEE International Symposium on Biomedical Imaging (ISBI). :2095-2098.

Tiwari, P, Viswanath SE, Lee G, Madabhushi A. 2011. Multi-Modal Data Fusion Schemes For Integrated Classification Of Imaging And Non-Imaging Biomedical Data. IEEE International Symposium on Biomedical Imaging (ISBI). :165-168. Abstract

Toth, R, Tiwari P, Rosen M, Reed G, Kurhanewicz J, Kalyanpur A, Pungavkar S, Madabhushi A. 2011. A magnetic resonance spectroscopy driven initialization scheme for active shape model based prostate segmentation. Medical Image Analysis. 15(2):214-225. Abstract

Ginsburg, SB, Tiwari P, Kurhanewicz J, Madabhushi A. 2011. Variable Ranking with PCA: Finding Multiparametric MR Imaging Markers for Prostate Cancer Diagnosis and Grading. Workshop on Prostate Cancer Imaging: Computer-Aided Diagnosis, Prognosis, and Intervention (in conjunction with MICCAI) . 6963:146-157.

Tiwari, P, Viswanath SE, Kurhanewicz J, Madabhushi A. 2011. Weighted Combination of Multi-Parametric MR Imaging Markers for Evaluating Radiation Therapy Related Changes in the Prostate. Workshop on Prostate Cancer Imaging: Computer-Aided Diagnosis, Prognosis, and Intervention (in conjunction with MICCAI). 6963:80-91.

2010

Tiwari, P, Kurhanewicz J, Rosen M, Madabhushi A. 2010. Semi Supervised Multi Kernel (SeSMiK) Graph Embedding: Identifying Aggressive Prostate Cancer via Magnetic Resonance Imaging and Spectroscopy. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 6363:666-673.

2009

Tiwari, P, Rosen M, Madabhushi A. 2009. A hierarchical spectral clustering and nonlinear dimensionality reduction scheme for detection of prostate cancer from magnetic resonance spectroscopy (MRS).. Medical Physics. 36(9):3927-3939. Abstract

Tiwari, P, Viswanath SE, Rosen M, Reed G, Kurhanewicz J, Madabhushi A. 2009. Multi-modal Integration of Magnetic Resonance Imaging and Spectroscopy for Detection of Prostate Cancer. International Workshop on Biosignal Interpretation (BSI).

Tiwari, P, Rosen M, Reed G, Kurhanewicz J, Madabhushi A. 2009. Spectral embedding based probabilistic boosting tree (ScEPTre): classifying high dimensional heterogeneous biomedical data. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 5762:844-51. Abstract

2008

Tiwari, P, Rosen M, Madabhushi A. 2008. Consensus-Locally Linear Embedding (C-LLE): Application to Prostate Cancer Detection on Magnetic Resonance Spectroscopy. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 5242:330-338. Abstract

Toth, R, Tiwari P, Rosen M, Kalyanpur A, Pungavkar S, Madabhushi A. 2008. An Integrated Multi-modal Prostate Segmentation Scheme by Combining Magnetic Resonance Spectroscopy and Active Shape Models. SPIE Medical Imaging. 6914

Viswanath, SE, Tiwari P, Madabhushi A, Rosen M. 2008. A meta-classifier for detecting prostate cancer by quantitative integration of in vivo magnetic resonance spectroscopy and magnetic resonance imaging. SPIE Medical Imaging. 6915

Madabhushi, A, Chappelow J, Viswanath SE, Toth R, Tiwari P. 2008. Multi-protocol Prostate MR Image Analysis: Image Segmentation, Registration, and Computer-aided Diagnosis. Workshop on Prostate Image Analysis (in conjunction with MICCAI).

2007

Tiwari, P, Madabhushi A, Rosen M. 2007. A hierarchical unsupervised spectral clustering scheme for detection of prostate cancer from magnetic resonance spectroscopy (MRS). International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 4792:278-86. Abstract

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