Pallavi Tiwari

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 23

Top Topics

Outcome Prediction

Magnetic Resonance Images

Texture Descriptors

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Publications

Zheyuan Zhang, Elif Keles, Gorkem Durak, Yavuz Taktak, Onkar Susladkar, Vandan Gorade, Debesh Jha, Asli C. Ormeci, Alpay Medetalibeyoglu, Lanhong Yao, Bin Wang, Ilkin Sevgi Isler, Linkai Peng, Hongyi Pan, Camila Lopes Vendrami, Amir Bourhani, Yury Velichko, Boqing Gong, Concetto Spampinato, Ayis Pyrros, Pallavi Tiwari, Derk C. F. Klatte, Megan Engels, Sanne Hoogenboom, Candice W. Bolan, Emil Agarunov, Nassier Harfouch, Chenchan Huang, Marco J. Bruno, Ivo Schoots, Rajesh N. Keswani, Frank H. Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Baris Turkbey, Michael B. Wallace, Ulas Bagci
Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning. CoRR (2024)
Syed Jamal Safdar Gardezi, Lucas Aronson, Peter Wawrzyn, Hongkun Yu, E. Jason Abel, Daniel D. Shapiro, Meghan G. Lubner, Joshua D. Warner, Giuseppe Toia, Lu Mao, Pallavi Tiwari, Andrew L. Wentland
ResNCT: A Deep Learning Model for the Synthesis of Nephrographic Phase Images in CT Urography. CoRR (2024)
Ipsa Yadav, Marwa Ismail, Volodymyr Statsevych, Virginia B. Hill, Ramon Correa, Manmeet Ahluwalia, Pallavi Tiwari
A radiomics approach to distinguish non-contrast enhancing tumor from vasogenic edema on multi-parametric pre-treatment MRI scans for glioblastoma tumors. Medical Imaging: Computer-Aided Diagnosis (2022)
Jacob T. Antunes, Marwa Ismail, Imran Hossain, Zhoumengdi Wang, Prateek Prasanna, Anant Madabhushi, Pallavi Tiwari, Satish E. Viswanath
RADIomic Spatial TexturAl Descriptor (RADISTAT): Quantifying Spatial Organization of Imaging Heterogeneity Associated With Tumor Response to Treatment. IEEE J. Biomed. Health Informatics 26 (6) (2022)
Marwa Ismail, Prateek Prasanna, Kaustav Bera, Volodymyr Statsevych, Virginia B. Hill, Gagandeep Singh, Sasan Partovi, Niha G. Beig, Sean D. McGarry, Peter S. LaViolette, Manmeet Ahluwalia, Anant Madabhushi, Pallavi Tiwari
Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to Characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma. IEEE Trans. Medical Imaging 41 (7) (2022)
Pallavi Tiwari, Deepak Upadhyay, Bhaskar Pant, Noor Mohd
Multiclass Classification of Disease Using CNN and SVM of Medical Imaging. ICACDS (2) (2022)
Marwa Ismail, Prateek Prasanna, Kaustav Bera, Volodymyr Statsevych, Virginia Hill, Gagandeep Singh, Sasan Partovi, Niha G. Beig, Sean D. McGarry, Peter S. LaViolette, Manmeet Ahluwalia, Anant Madabhushi, Pallavi Tiwari
Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma. CoRR (2021)
Marwa Ismail, Ramon Correa, Kaustav Bera, Ruchika Verma, Anas Saeed Bamashmos, Niha G. Beig, Jacob Antunes, Prateek Prasanna, Volodymyr Statsevych, Manmeet Ahluwalia, Pallavi Tiwari
Spatial-And-Context Aware (SpACe) "Virtual Biopsy" Radiogenomic Maps to Target Tumor Mutational Status on Structural MRI. MICCAI (2) (2020)
Marwa Ismail, Virginia Hill, Volodymyr Statsevych, Evan Mason, Ramon Correa, Prateek Prasanna, Gagandeep Singh, Kaustav Bera, Rajat Thawani, Manmeet Ahluwalia, Anant Madabhushi, Pallavi Tiwari
Can Tumor Location on Pre-treatment MRI Predict Likelihood of Pseudo-Progression vs. Tumor Recurrence in Glioblastoma? - A Feasibility Study. Frontiers Comput. Neurosci. 14 (2020)
Amir Reza Sadri, Andrew Janowczyk, Ren Zou, Ruchika Verma, Jacob Antunes, Anant Madabhushi, Pallavi Tiwari, Satish E. Viswanath
MRQy: An Open-Source Tool for Quality Control of MR Imaging Data. CoRR (2020)
Yashas Hiremath, Marwa Ismail, Ruchika Verma, Jacob Antunes, Pallavi Tiwari
Combining deep and hand-crafted MRI features for identifying sex-specific differences in autism spectrum disorder versus controls. Medical Imaging: Computer-Aided Diagnosis (2020)
Marwa Ismail, Virginia Hill, Volodymyr Statsevych, Evan Mason, Ramon Correa, Prateek Prasanna, Gagandeep Singh, Kaustav Bera, Rajat Thawani, Anant Madabhushi, Manmeet Ahluwalia, Pallavi Tiwari
Can tumor location on pre-treatment MRI predict likelihood of pseudo-progression versus tumor recurrence in Glioblastoma? A feasibility study. CoRR (2020)
Marwa Ismail, Ramon Correa, Kaustav Bera, Ruchika Verma, Anas Saeed Bamashmos, Niha G. Beig, Jacob Antunes, Prateek Prasanna, Volodymyr Statsevych, Manmeet Ahluwalia, Pallavi Tiwari
Spatial-And-Context aware (SpACe) "virtual biopsy" radiogenomic maps to target tumor mutational status on structural MRI. CoRR (2020)
Ramon Correa, Qiu Lei, Jonathan Chen, Johnathan Zeng, Jennifer Yu, Pallavi Tiwari
"Lesion-habitat" radiomics to distinguish radiation necrosis from tumor recurrence on post-treatment MRI in metastatic brain tumors. Medical Imaging: Computer-Aided Diagnosis (2020)
Jacob Antunes, Zhouping Wei, Charlems Álvarez Jimenez, Eduardo Romero, Marwa Ismail, Anant Madabhushi, Pallavi Tiwari, Satish E. Viswanath
STructural Rectal Atlas Deformation (StRAD) Features for Characterizing Intra- and Peri-wall Chemoradiation Response on MRI. MICCAI (4) (2019)
Kaustav Bera, Niha G. Beig, Pallavi Tiwari
Opportunities and Advances in Radiomics and Radiogenomics in Neuro-Oncology. RNO-AI@MICCAI (2019)
Niha G. Beig, Prateek Prasanna, Virginia Hill, Ruchika Verma, Vinay Varadan, Anant Madabhushi, Pallavi Tiwari
Radiogenomic characterization of response to chemo-radiation therapy in glioblastoma is associated with PI3K/AKT/mTOR and apoptosis signaling pathways. Medical Imaging: Computer-Aided Diagnosis (2019)
Sukanya Iyer, Marwa Ismail, Benita Tamrazi, Ashley Margol, Ruchika Verma, Ramon Correa, Prateek Prasanna, Niha G. Beig, Kaustav Bera, Volodymyr Statsevych, Alexander R. Judkins, Anant Madabhushi, Pallavi Tiwari
Deformation heterogeneity radiomics to predict molecular subtypes of pediatric Medulloblastoma on routine MRI. Medical Imaging: Computer-Aided Diagnosis (2019)
Ruchika Verma, Ramon Correa, Virginia Hill, Niha G. Beig, Abdelkader Mahammedi, Anant Madabhushi, Pallavi Tiwari
Radiomics of the lesion habitat on pre-treatment MRI predicts response to chemo-radiation therapy in Glioblastoma. Medical Imaging: Computer-Aided Diagnosis (2019)
Prateek Prasanna, Jhimli Mitra, Niha G. Beig, Sasan Partovi, Gagandeep Singh, Marco Pinho, Anant Madabhushi, Pallavi Tiwari
Radiographic-Deformation and Textural Heterogeneity (r-DepTH): An Integrated Descriptor for Brain Tumor Prognosis. MICCAI (2) (2017)
Jacob Antunes, Prateek Prasanna, Anant Madabhushi, Pallavi Tiwari, Satish Viswanath
RADIomic Spatial TexturAl descripTor (RADISTAT): Characterizing Intra-tumoral Heterogeneity for Response and Outcome Prediction. MICCAI (2) (2017)
Satish Viswanath, Pallavi Tiwari, George Lee, Anant Madabhushi
Dimensionality reduction-based fusion approaches for imaging and non-imaging biomedical data: concepts, workflow, and use-cases. BMC Medical Imaging 17 (1) (2017)
Niha G. Beig, Jay Patel, Prateek Prasanna, Sasan Partovi, Vinay Varadan, Anant Madabhushi, Pallavi Tiwari
Radiogenomic analysis of hypoxia pathway reveals computerized MRI descriptors predictive of overall survival in glioblastoma. Medical Imaging: Computer-Aided Diagnosis (2017)
Pallavi Tiwari, Shabbar Danish, Anant Madabhushi
Identifying MRI markers to evaluate early treatment-related changes post-laser ablation for cancer pain management. Medical Imaging: Image-Guided Procedures (2014)
Pallavi Tiwari, Prateek Prasanna, Lisa Rogers, Leo Wolansky, Chaitra Badve, Andrew Sloan, Mark Cohen, Anant Madabhushi
Texture descriptors to distinguish radiation necrosis from recurrent brain tumors on multi-parametric MRI. Medical Imaging: Computer-Aided Diagnosis (2014)
Prateek Prasanna, Pallavi Tiwari, Anant Madabhushi
Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): Distinguishing Tumor Confounders and Molecular Subtypes on MRI. MICCAI (3) (2014)
Pallavi Tiwari, John Kurhanewicz, Anant Madabhushi
Multi-kernel graph embedding for detection, Gleason grading of prostate cancer via MRI/MRS. Medical Image Anal. 17 (2) (2013)
Pallavi Tiwari, Shabbar Danish, Stephen Wong, Anant Madabhushi
Quantitative evaluation of multi-parametric MR imaging marker changes post-laser interstitial ablation therapy (LITT) for epilepsy. Medical Imaging: Image-Guided Procedures (2013)
Pallavi Tiwari, Satish Viswanath, John Kurhanewicz, Anant Madabhushi
Weighted Combination of Multi-Parametric MR Imaging Markers for Evaluating Radiation Therapy Related Changes in the Prostate. Prostate Cancer Imaging (2011)
Pallavi Tiwari, Satish Viswanath, George Lee, Anant Madabhushi
Multi-modal data fusion schemes for integrated classification of imaging and non-imaging biomedical data. ISBI (2011)
Satish Viswanath, Pallavi Tiwari, Jonathan Chappelow, Robert Toth, John Kurhanewicz, Anant Madabhushi
CADOnc ©: An integrated toolkit for evaluating radiation therapy related changes in the prostate using multiparametric MRI. ISBI (2011)
Shoshana Ginsburg, Pallavi Tiwari, John Kurhanewicz, Anant Madabhushi
Variable Ranking with PCA: Finding Multiparametric MR Imaging Markers for Prostate Cancer Diagnosis and Grading. Prostate Cancer Imaging (2011)
Robert Toth, Pallavi Tiwari, Mark Rosen, Galen Reed, John Kurhanewicz, Arjun Kalyanpur, Sona Pungavkar, Anant Madabhushi
A magnetic resonance spectroscopy driven initialization scheme for active shape model based prostate segmentation. Medical Image Anal. 15 (2) (2011)
Pallavi Tiwari, John Kurhanewicz, Mark Rosen, Anant Madabhushi
Semi Supervised Multi Kernel (SeSMiK) Graph Embedding: Identifying Aggressive Prostate Cancer via Magnetic Resonance Imaging and Spectroscopy. MICCAI (3) (2010)
Pallavi Tiwari, Mark Rosen, Galen Reed, John Kurhanewicz, Anant Madabhushi
Spectral Embedding Based Probabilistic Boosting Tree (ScEPTre): Classifying High Dimensional Heterogeneous Biomedical Data. MICCAI (1) (2009)
Pallavi Tiwari, Mark Rosen, Anant Madabhushi
Consensus-Locally Linear Embedding (C-LLE): Application to Prostate Cancer Detection on Magnetic Resonance Spectroscopy. MICCAI (2) (2008)
Robert Toth, Pallavi Tiwari, Mark Rosen, Arjun Kalyanpur, Sona Pungavkar, Anant Madabhushi
A multi-modal prostate segmentation scheme by combining spectral clustering and active shape models. Medical Imaging: Image Processing (2008)
Satish Viswanath, Pallavi Tiwari, Mark Rosen, Anant Madabhushi
A meta-classifier for detecting prostate cancer by quantitative integration of in vivo magnetic resonance spectroscopy and magnetic resonance imaging. Medical Imaging: Computer-Aided Diagnosis (2008)
Pallavi Tiwari, Anant Madabhushi, Mark Rosen
A Hierarchical Unsupervised Spectral Clustering Scheme for Detection of Prostate Cancer from Magnetic Resonance Spectroscopy (MRS). MICCAI (2) (2007)