| 2020 | MICCAI | Spatial-And-Context Aware (SpACe) "Virtual Biopsy" Radiogenomic Maps to Target Tumor Mutational Status on Structural MRI. | Marwa Ismail, Ramon Correa, Kaustav Bera, Ruchika Verma, Anas Saeed Bamashmos, Niha G. Beig, Jacob Antunes, Prateek Prasanna, Volodymyr Statsevych, Manmeet Ahluwalia, Pallavi Tiwari |
| 2019 | MICCAI | STructural Rectal Atlas Deformation (StRAD) Features for Characterizing Intra- and Peri-wall Chemoradiation Response on MRI. | Jacob Antunes, Zhouping Wei, Charlems lvarez Jimenez, Eduardo Romero, Marwa Ismail, Anant Madabhushi, Pallavi Tiwari, Satish E. Viswanath |
| 2019 | MICCAI | Opportunities and Advances in Radiomics and Radiogenomics in Neuro-Oncology. | Kaustav Bera, Niha G. Beig, Pallavi Tiwari |
| 2017 | MICCAI | RADIomic Spatial TexturAl descripTor (RADISTAT): Characterizing Intra-tumoral Heterogeneity for Response and Outcome Prediction. | Jacob Antunes, Prateek Prasanna, Anant Madabhushi, Pallavi Tiwari, Satish Viswanath |
| 2017 | MICCAI | Radiographic-Deformation and Textural Heterogeneity (r-DepTH): An Integrated Descriptor for Brain Tumor Prognosis. | Prateek Prasanna, Jhimli Mitra, Niha G. Beig, Sasan Partovi, Gagandeep Singh, Marco Pinho, Anant Madabhushi, Pallavi Tiwari |
| 2014 | MICCAI | Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): Distinguishing Tumor Confounders and Molecular Subtypes on MRI. | Prateek Prasanna, Pallavi Tiwari, Anant Madabhushi |
| 2011 | MICCAI | Variable Ranking with PCA: Finding Multiparametric MR Imaging Markers for Prostate Cancer Diagnosis and Grading. | Shoshana Ginsburg, Pallavi Tiwari, John Kurhanewicz, Anant Madabhushi |
| 2011 | MICCAI | Weighted Combination of Multi-Parametric MR Imaging Markers for Evaluating Radiation Therapy Related Changes in the Prostate. | Pallavi Tiwari, Satish Viswanath, John Kurhanewicz, Anant Madabhushi |
| 2010 | MICCAI | Semi Supervised Multi Kernel (SeSMiK) Graph Embedding: Identifying Aggressive Prostate Cancer via Magnetic Resonance Imaging and Spectroscopy. | Pallavi Tiwari, John Kurhanewicz, Mark Rosen, Anant Madabhushi |
| 2009 | MICCAI | Spectral Embedding Based Probabilistic Boosting Tree (ScEPTre): Classifying High Dimensional Heterogeneous Biomedical Data. | Pallavi Tiwari, Mark Rosen, Galen Reed, John Kurhanewicz, Anant Madabhushi |
| 2008 | MICCAI | Consensus-Locally Linear Embedding (C-LLE): Application to Prostate Cancer Detection on Magnetic Resonance Spectroscopy. | Pallavi Tiwari, Mark Rosen, Anant Madabhushi |
| 2007 | MICCAI | A Hierarchical Unsupervised Spectral Clustering Scheme for Detection of Prostate Cancer from Magnetic Resonance Spectroscopy (MRS). | Pallavi Tiwari, Anant Madabhushi, Mark Rosen |