| 2023 | MICCAI | Triangular Analysis of Geographical Interplay of Lymphocytes (TriAnGIL): Predicting Immunotherapy Response in Lung Cancer. | Sara ArabYarmohammadi, Germn Corredor, Yufei Zhou, Miguel Lpez de Rodas, Kurt A. Schalper, Anant Madabhushi |
| 2023 | MICCAI | STAR-Echo: A Novel Biomarker for Prognosis of MACE in Chronic Kidney Disease Patients Using Spatiotemporal Analysis and Transformer-Based Radiomics Models. | Rohan Dhamdhere, Gourav Modanwal, Mohamed H. E. Makhlouf, Neda Shafiabadi Hassani, Satvika Bharadwaj, Pingfu Fu, Ioannis Milioglou, Mahboob Rahman, Sadeer Al-Kindi, Anant Madabhushi |
| 2021 | MICCAI | LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN Model of Infiltrates for COVID-19 Prognosis. | Amogh Hiremath, Lei Yuan, Rakesh Shiradkar, Kaustav Bera, Vidya Sankar Viswanathan, Pranjal Vaidya, Jennifer Furin, Keith Armitage, Robert Gilkeson, Mengyao Ji, Pingfu Fu, Amit Gupta, Cheng Lu, Anant Madabhushi |
| 2021 | MICCAI | SPARTA: An Integrated Stability, Discriminability, and Sparsity Based Radiomic Feature Selection Approach. | Amir Reza Sadri, Sepideh Azarianpour Esfahani, Prathyush Chirra, Jacob Antunes, Pavithran Pattiam Giriprakash, Patrick Leo, Anant Madabhushi, Satish E. Viswanath |
| 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 | Response Estimation Through Spatially Oriented Neural Network and Texture Ensemble (RESONATE). | Jeffrey E. Eben, Nathaniel Braman, Anant Madabhushi |
| 2018 | MICCAI | Vascular Network Organization via Hough Transform (VaNgOGH): A Novel Radiomic Biomarker for Diagnosis and Treatment Response. | Nathaniel Braman, Prateek Prasanna, Mehdi Alilou, Niha G. Beig, Anant Madabhushi |
| 2018 | MICCAI | Feature Driven Local Cell Graph (FeDeG): Predicting Overall Survival in Early Stage Lung Cancer. | Cheng Lu, Xiangxue Wang, Prateek Prasanna, Germn Corredor, Geoffrey Sedor, Kaustav Bera, Vamsidhar Velcheti, Anant Madabhushi |
| 2017 | MICCAI | Intra-perinodular Textural Transition (Ipris): A 3D Descriptor for Nodule Diagnosis on Lung CT. | Mehdi Alilou, Mahdi Orooji, Anant Madabhushi |
| 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 | Field Effect Induced Organ Distension (FOrge) Features Predicting Biochemical Recurrence from Pre-treatment Prostate MRI. | Soumya Ghose, Rakesh Shiradkar, Mirabela Rusu, Jhimli Mitra, Rajat Thawani, Michael D. Feldman, Amar Gupta, Andrei S. Purysko, Lee Ponsky, Anant Madabhushi |
| 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 |
| 2015 | MICCAI | Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma. | Sebastian Otlora, Angel Cruz-Roa, John Edison Arevalo Ovalle, Manfredo Atzori, Anant Madabhushi, Alexander R. Judkins, Fabio A. Gonzlez, Henning Mller, Adrien Depeursinge |
| 2014 | MICCAI | Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): Distinguishing Tumor Confounders and Molecular Subtypes on MRI. | Prateek Prasanna, Pallavi Tiwari, Anant Madabhushi |
| 2014 | MICCAI | Selecting Features with Group-Sparse Nonnegative Supervised Canonical Correlation Analysis: Multimodal Prostate Cancer Prognosis. | Haibo Wang, Asha Singanamalli, Shoshana Ginsburg, Anant Madabhushi |
| 2013 | MICCAI | Spatially Aware Cell Cluster(SpACCl) Graphs: Predicting Outcome in Oropharyngeal p16+ Tumors. | Sahirzeeshan Ali, James Lewis, Anant Madabhushi |
| 2013 | MICCAI | A Deep Learning Architecture for Image Representation, Visual Interpretability and Automated Basal-Cell Carcinoma Cancer Detection. | Angel Alfonso Cruz-Roa, John Edison Arevalo Ovalle, Anant Madabhushi, Fabio Augusto Gonzlez Osorio |
| 2013 | MICCAI | Variable Importance in Nonlinear Kernels (VINK): Classification of Digitized Histopathology. | Shoshana Ginsburg, Sahirzeeshan Ali, George Lee, Ajay Basavanhally, Anant Madabhushi |
| 2013 | MICCAI | Cell Orientation Entropy (COrE): Predicting Biochemical Recurrence from Prostate Cancer Tissue Microarrays. | George Lee, Sahirzeeshan Ali, Robert Veltri, Jonathan I. Epstein, Christhunesa Christudass, Anant Madabhushi |
| 2012 | MICCAI | A Visual Latent Semantic Approach for Automatic Analysis and Interpretation of Anaplastic Medulloblastoma Virtual Slides. | Angel Cruz-Roa, Fabio A. Gonzlez, Joseph Galaro, Alexander R. Judkins, David Ellison, Jennifer Baccon, Anant Madabhushi, Eduardo Romero |
| 2012 | MICCAI | Image Segmentation with Implicit Color Standardization Using Spatially Constrained Expectation Maximization: Detection of Nuclei. | James Monaco, Jennifer A. Hipp, D. Lucas, S. Smith, Ulysses J. Balis, Anant Madabhushi |
| 2011 | MICCAI | Adaptive Energy Selective Active Contour with Shape Priors for Nuclear Segmentation and Gleason Grading of Prostate Cancer. | Sahirzeeshan Ali, Robert Veltri, Jonathan I. Epstein, Christhunesa Christudass, 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 |
| 2011 | MICCAI | Aggregated Distance Metric Learning (ADM) for Image Classification in Presence of Limited Training Data. | Gaoyu Xiao, Anant Madabhushi |
| 2010 | ICPR | Pattern Recognition in Histopathological Images: An ICPR 2010 Contest. | Metin N. Gurcan, Anant Madabhushi, Nasir M. Rajpoot |
| 2010 | MICCAI | Novel Morphometric Based Classification via Diffeomorphic Based Shape Representation Using Manifold Learning. | Rachel Sparks, 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 |
| 2010 | MICCAI | Markov Random Field driven Region-Based Active Contour Model (MaRACel): Application to Medical Image Segmentation. | Jun Xu, James Monaco, Anant Madabhushi |
| 2010 | MICCAI | High-Throughput Prostate Cancer Gland Detection, Segmentation, and Classification from Digitized Needle Core Biopsies. | Jun Xu, Rachel Sparks, Andrew Janowczyk, John Tomaszewski, Michael D. Feldman, Anant Madabhushi |
| 2009 | BIBE | Expectation Maximization driven Geodesic Active Contour with Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology. | Hussain Fatakdawala, Ajay Basavanhally, Jun Xu, Gyan Bhanot, Shridar Ganesan, Michael D. Feldman, John Tomaszewski, Anant Madabhushi |
| 2009 | MICCAI | Hierarchical Normalized Cuts: Unsupervised Segmentation of Vascular Biomarkers from Ovarian Cancer Tissue Microarrays. | Andrew Janowczyk, Sharat Chandran, Rajendra Singh, Dimitra Sasaroli, George Coukos, Michael D. Feldman, 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 |
| 2008 | MICCAI | Multi-Attribute Non-initializing Texture Reconstruction Based Active Shape Model (MANTRA). | Robert Toth, Jonathan Chappelow, Mark Rosen, Sona Pungavkar, Arjun Kalyanpur, Anant Madabhushi |
| 2008 | MICCAI | A Comprehensive Segmentation, Registration, and Cancer Detection Scheme on 3 Tesla In VivoProstate DCE-MRI. | Satish Viswanath, B. Nicolas Bloch, Elizabeth Genega, Neil Rofsky, Robert E. Lenkinski, Jonathan Chappelow, Robert Toth, 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 |
| 2006 | ECCV | Comparing Ensembles of Learners: Detecting Prostate Cancer from High Resolution MRI. | Anant Madabhushi, Jianbo Shi, Michael D. Feldman, Mark Rosen, John Tomaszewski |
| 2006 | ICONIP | Breast Cancer Diagnosis Using Neural-Based Linear Fusion Strategies. | Yunfeng Wu, Cong Wang, Sin Chun Ng, Anant Madabhushi, Yixin Zhong |
| 2006 | MICCAI | A Boosting Cascade for Automated Detection of Prostate Cancer from Digitized Histology. | Scott Doyle, Anant Madabhushi, Michael D. Feldman, John Tomaszewski |
| 2005 | MICCAI | Graph Embedding to Improve Supervised Classification and Novel Class Detection: Application to Prostate Cancer. | Anant Madabhushi, Jianbo Shi, Mark Rosen, John Tomaszewski, Michael D. Feldman |
| 2003 | MICCAI | A Novel Stochastic Combination of 3D Texture Features for Automated Segmentation of Prostatic Adenocarcinoma from High Resolution MRI. | Anant Madabhushi, Michael D. Feldman, Dimitris N. Metaxas, Deborah Chute, John Tomaszewski |
| 2000 | ICPR | Using Head Movement to Recognize Activity. | Anant Madabhushi, J. K. Aggarwal |