| 2020 | MICCAI | Open-Set Recognition for Skin Lesions Using Dermoscopic Images. | Pranav Budhwant, Sumeet Shinde, Madhura Ingalhalikar |
| 2020 | MICCAI | Local Binary and Ternary Patterns Based Quantitative Texture Analysis for Assessment of IDH Genotype in Gliomas on Multi-modal MRI. | Sonal Gore, Tanay Chougule, Jitender Saini, Madhura Ingalhalikar, Jayant Jagtap |
| 2019 | MICCAI | On Validating Multimodal MRI Based Stratification of IDH Genotype in High Grade Gliomas Using CNNs and Its Comparison to Radiomics. | Tanay Chougule, Sumeet Shinde, Vani Santosh, Jitender Saini, Madhura Ingalhalikar |
| 2019 | MICCAI | HR-CAM: Precise Localization of Pathology Using Multi-level Learning in CNNs. | Sumeet Shinde, Tanay Chougule, Jitender Saini, Madhura Ingalhalikar |
| 2015 | ICMLA | Increasing Grid Flexibility Through Improved Electricity Demand Prediction in Nicaragua. | Stephen Suffian, Diego Ponce de Len Barid, Madhura Ingalhalikar, Pritpal Singh |
| 2012 | MICCAI | Using Multiparametric Data with Missing Features for Learning Patterns of Pathology. | Madhura Ingalhalikar, William A. Parker, Luke Bloy, Timothy P. L. Roberts, Ragini Verma |
| 2012 | MICCAI | Identifying Sub-Populations via Unsupervised Cluster Analysis on Multi-Edge Similarity Graphs. | Madhura Ingalhalikar, Alex R. Smith, Luke Bloy, Ruben C. Gur, Timothy P. L. Roberts, Ragini Verma |
| 2011 | MICCAI | HARDI Based Pattern Classifiers for the Identification of White Matter Pathologies. | Luke Bloy, Madhura Ingalhalikar, Harini Eavani, Timothy P. L. Roberts, Robert T. Schultz, Ragini Verma |
| 2010 | MICCAI | DTI Based Diagnostic Prediction of a Disease via Pattern Classification. | Madhura Ingalhalikar, Stathis Kanterakis, Ruben C. Gur, Timothy P. L. Roberts, Ragini Verma |