|Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge|
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
|Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI|
NM Braman, M Etesami, P Prasanna, C Dubchuk, H Gilmore, P Tiwari, ...
Breast Cancer Research 19 (1), 1-14, 2017
|Radiomic features from the peritumoral brain parenchyma on treatment-naive multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme …|
P Prasanna, J Patel, S Partovi, A Madabhushi, P Tiwari
European radiology 27 (10), 4188-4197, 2017
|Multi-kernel graph embedding for detection, Gleason grading of prostate cancer via MRI/MRS|
P Tiwari, J Kurhanewicz, A Madabhushi
Medical image analysis 17 (2), 219-235, 2013
|Co-occurrence of local anisotropic gradient orientations (CoLlAGe): a new radiomics descriptor|
P Prasanna, P Tiwari, A Madabhushi
Scientific reports 6 (1), 1-14, 2016
|Perinodular and intranodular radiomic features on lung CT images distinguish adenocarcinomas from granulomas|
N Beig, M Khorrami, M Alilou, P Prasanna, N Braman, M Orooji, S Rakshit, ...
Radiology 290 (3), 783-792, 2019
|Multimodal wavelet embedding representation for data combination (MaWERiC): integrating magnetic resonance imaging and spectroscopy for prostate cancer detection|
P Tiwari, S Viswanath, J Kurhanewicz, A Sridhar, A Madabhushi
NMR in Biomedicine 25 (4), 607-619, 2012
|Computer-extracted texture features to distinguish cerebral radionecrosis from recurrent brain tumors on multiparametric MRI: a feasibility study|
P Tiwari, P Prasanna, L Wolansky, M Pinho, M Cohen, AP Nayate, ...
American Journal of Neuroradiology 37 (12), 2231-2236, 2016
|A hierarchical spectral clustering and nonlinear dimensionality reduction scheme for detection of prostate cancer from magnetic resonance spectroscopy (MRS)|
P Tiwari, M Rosen, A Madabhushi
Medical physics 36 (9Part1), 3927-3939, 2009
|Computer assisted diagnosis (CAD) of cancer using multi-functional, multi-modal in-vivo magnetic resonance spectroscopy (MRS) and imaging (MRI)|
MD Feldman, S Viswanath, P Tiwari, R Toth, A Madabhushi, ...
US Patent 8,295,575, 2012
|A magnetic resonance spectroscopy driven initialization scheme for active shape model based prostate segmentation|
R Toth, P Tiwari, M Rosen, G Reed, J Kurhanewicz, A Kalyanpur, ...
Medical Image Analysis 15 (2), 214-225, 2011
|Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma|
N Beig, J Patel, P Prasanna, V Hill, A Gupta, R Correa, K Bera, S Singh, ...
Scientific reports 8 (1), 1-11, 2018
|Semi supervised multi kernel (SeSMiK) graph embedding: identifying aggressive prostate cancer via magnetic resonance imaging and spectroscopy|
P Tiwari, J Kurhanewicz, M Rosen, A Madabhushi
International Conference on Medical Image Computing and Computer-Assisted …, 2010
|A multi-modal prostate segmentation scheme by combining spectral clustering and active shape models|
R Toth, P Tiwari, M Rosen, A Kalyanpur, S Pungavkar, A Madabhushi
Medical Imaging 2008: Image Processing 6914, 69144S, 2008
|A hierarchical unsupervised spectral clustering scheme for detection of prostate cancer from magnetic resonance spectroscopy (MRS)|
P Tiwari, A Madabhushi, M Rosen
International Conference on Medical Image Computing and Computer-Assisted …, 2007
|Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): distinguishing tumor confounders and molecular subtypes on MRI|
P Prasanna, P Tiwari, A Madabhushi
International Conference on Medical Image Computing and Computer-Assisted …, 2014
|Multi-modal data fusion schemes for integrated classification of imaging and non-imaging biomedical data|
P Tiwari, S Viswanath, G Lee, A Madabhushi
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011
|Texture descriptors to distinguish radiation necrosis from recurrent brain tumors on multi-parametric MRI|
P Tiwari, P Prasanna, L Rogers, L Wolansky, C Badve, A Sloan, M Cohen, ...
Medical Imaging 2014: Computer-Aided Diagnosis 9035, 90352B, 2014
|Shape features of the lesion habitat to differentiate brain tumor progression from pseudoprogression on routine multiparametric MRI: a multisite study|
M Ismail, V Hill, V Statsevych, R Huang, P Prasanna, R Correa, G Singh, ...
American Journal of Neuroradiology 39 (12), 2187-2193, 2018
|Identifying the morphologic basis for radiomic features in distinguishing different Gleason grades of prostate cancer on MRI: Preliminary findings|
G Penzias, A Singanamalli, R Elliott, J Gollamudi, N Shih, M Feldman, ...
PloS one 13 (8), e0200730, 2018