A comparative study of diffusion tensor field transformations. - Madhura Ingalhalikar; Vincent A. Magnotta; Jinsuh Kim; Andrew L. Alexander (Image Processing, 2009)

DTI Based Diagnostic Prediction of a Disease via Pattern Classification. - Madhura Ingalhalikar; Stathis Kanterakis; Ruben C. Gur; Timothy P. L. Roberts; Ragini Verma (MICCAI (1), 2010)

White matter degeneration in schizophrenia: a comparative diffusion tensor analysis. - Madhura Ingalhalikar; Nancy Andreasen; Jinsuh Kim; Andrew L. Alexander; Vincent A. Magnotta (Image Processing, 2010)

DTI-DROID: Diffusion tensor imaging-deformable registration using orientation and intensity descriptors. - Madhura Ingalhalikar; Jinzhong Yang; Christos Davatzikos; Ragini Verma (Int. J. Imaging Syst. Technol., 2010)

Neuronal white matter parcellation using spatially coherent normalized cuts. - Luke Bloy; Madhura Ingalhalikar; Ragini Verma (ISBI, 2011)

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 (MICCAI (2), 2011)

Diffusion based abnormality markers of pathology: Toward learned diagnostic prediction of ASD. - Madhura Ingalhalikar; Drew Parker; Luke Bloy; Timothy P. L. Roberts; Ragini Verma (NeuroImage, 2011)

Using Multiparametric Data with Missing Features for Learning Patterns of Pathology. - Madhura Ingalhalikar; William A. Parker; Luke Bloy; Timothy P. L. Roberts; Ragini Verma (MICCAI (3), 2012)

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 (MICCAI (2), 2012)

An Integrated Framework for High Angular Resolution Diffusion Imaging-Based Investigation of Structural Connectivity. - Luke Bloy; Madhura Ingalhalikar; Nematollah Batmanghelich; Robert T. Schultz; Timothy P. L. Roberts; Ragini Verma (Brain Connect., 2012)

White matter atlas generation using HARDI based automated parcellation. - Luke Bloy; Madhura Ingalhalikar; Harini Eavani; Robert T. Schultz; Timothy P. L. Roberts; Ragini Verma (NeuroImage, 2012)

Kernel-Based Morphometry of Diffusion Tensor Images. - Madhura Ingalhalikar; Parmeshwar Khurd; Ragini Verma (Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data, 2014)

Automated tract extraction via atlas based Adaptive Clustering. - Birkan Tunç; William A. Parker; Madhura Ingalhalikar; Ragini Verma (NeuroImage, 2014)

Increasing Grid Flexibility Through Improved Electricity Demand Prediction in Nicaragua. - Stephen Suffian; Diego Ponce de León Baridó; Madhura Ingalhalikar; Pritpal Singh (ICMLA, 2015)

Altered Brain Wiring in Parkinson's Disease: A Structural Connectome-Based Analysis. - Apurva Shah; Abhishek Lenka; Jitender Saini; Shivali Amit Wagle; Rajini M. Naduthota; Ravi Yadav; Pramod Kumar Pal; Madhura Ingalhalikar (Brain Connect., 2017)

ARiA: Utilizing Richard's Curve for Controlling the Non-monotonicity of the Activation Function in Deep Neural Nets. - Narendra Patwardhan; Madhura Ingalhalikar; Rahee Walambe (CoRR, 2018)

Predictive and discriminative localization of IDH genotype in high grade gliomas using deep convolutional neural nets. - Adnan Ahmad; Srinjay Sarkar; Apurva Shah; Sonal Gore; Vani Santosh; Jitender Saini; Madhura Ingalhalikar (ISBI, 2019)

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 (RNO-AI@MICCAI, 2019)

HR-CAM: Precise Localization of Pathology Using Multi-level Learning in CNNs. - Sumeet Shinde; Tanay Chougule; Jitender Saini; Madhura Ingalhalikar (MICCAI (4), 2019)

Open-Set Recognition for Skin Lesions Using Dermoscopic Images. - Pranav Budhwant; Sumeet Shinde; Madhura Ingalhalikar (MLMI@MICCAI, 2020)

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 (MLCN/RNO-AI@MICCAI, 2020)

Comprehensive Genomic Subtyping of Glioma Using Semi-Supervised Multi-Task Deep Learning on Multimodal MRI. - Priyanka Tupe-Waghmare; Piyush Malpure; Ketan Kotecha; Manish Beniwal; Vani Santosh; Jitender Saini; Madhura Ingalhalikar (IEEE Access, 2021)

Predictive and discriminative localization of pathology using high resolution class activation maps with CNNs. - Sumeet Shinde; Priyanka Tupe-Waghmare; Tanay Chougule; Jitender Saini; Madhura Ingalhalikar (PeerJ Comput. Sci., 2021)

Functional Connectivity-Based Prediction of Autism on Site Harmonized ABIDE Dataset. - Madhura Ingalhalikar; Sumeet Shinde; Arnav Karmarkar; Archith Rajan; D. Rangaprakash; Gopikrishna Deshpande (IEEE Trans. Biomed. Eng., 2021)

Federated Learning Enables Big Data for Rare Cancer Boundary Detection. - Sarthak Pati; Ujjwal Baid; Brandon Edwards; Micah J. Sheller; Hans Shih-Han Wang; G. Anthony Reina; Patrick Foley; Alexey Gruzdev; Deepthi Karkada; Christos Davatzikos; Chiharu Sako; Satyam Ghodasara; et al. (CoRR, 2022)

Probabilistic Tractography-Based Tremor Network Connectivity in Tremor Dominant Parkinson's Disease and Essential Tremor plus. - Shweta Prasad; Archith Rajan; Madhura Ingalhalikar; Rose Dawn Bharath; Jitender Saini; Pramod Kumar Pal (Brain Connect., 2024)