Madhura Ingalhalikar

According to our database, Madhura Ingalhalikar authored at least 25 papers between 2009 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

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, Michel Bilello, Suyash Mohan, Philipp Vollmuth, Gianluca Brugnara, Chandrakanth J. Preetha, Felix Sahm, Klaus H. Maier-Hein, Maximilian Zenk, Martin Bendszus, Wolfgang Wick, Evan Calabrese, Jeffrey D. Rudie, Javier E. Villanueva-Meyer, Soonmee Cha, Madhura Ingalhalikar, Manali Jadhav, Umang Pandey, Jitender Saini, John Garrett, Matthew Larson, Robert Jeraj, Stuart Currie, Russell Frood, Kavi Fatania, Raymond Y. Huang, Ken Chang, Carmen Balaña Quintero, Jaume Capellades, Josep Puig, Johannes Trenkler, Josef Pichler, Georg Necker, Andreas Haunschmidt, Stephan Meckel, Gaurav Shukla, Spencer Liem, Gregory S. Alexander, et al.

CoRR, 2022

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

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

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

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

Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

Open-Set Recognition for Skin Lesions Using Dermoscopic Images.

Pranav Budhwant, Sumeet Shinde, Madhura Ingalhalikar

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

2019

HR-CAM: Precise Localization of Pathology Using Multi-level Learning in CNNs.

Sumeet Shinde, Tanay Chougule, Jitender Saini, Madhura Ingalhalikar

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 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

Proceedings of the Radiomics and Radiogenomics in Neuro-oncology, 2019

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

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

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

2017

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

2015

Increasing Grid Flexibility Through Improved Electricity Demand Prediction in Nicaragua.

Stephen Suffian, Diego Ponce de León Baridó, Madhura Ingalhalikar, Pritpal Singh

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2014

Automated tract extraction via atlas based Adaptive Clustering.

Birkan Tunç, William A. Parker, Madhura Ingalhalikar, Ragini Verma

NeuroImage, 2014

Kernel-Based Morphometry of Diffusion Tensor Images.

Madhura Ingalhalikar, Parmeshwar Khurd, Ragini Verma

Proceedings of the Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data, 2014

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

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

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Using Multiparametric Data with Missing Features for Learning Patterns of Pathology.

Madhura Ingalhalikar, William A. Parker, Luke Bloy, Timothy P. L. Roberts, Ragini Verma

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

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

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Neuronal white matter parcellation using spatially coherent normalized cuts.

Luke Bloy, Madhura Ingalhalikar, Ragini Verma

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

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

White matter degeneration in schizophrenia: a comparative diffusion tensor analysis.

Madhura Ingalhalikar, Nancy Andreasen, Jinsuh Kim, Andrew L. Alexander, Vincent A. Magnotta

Proceedings of the Medical Imaging 2010: Image Processing, 2010

DTI Based Diagnostic Prediction of a Disease via Pattern Classification.

Madhura Ingalhalikar, Stathis Kanterakis, Ruben C. Gur, Timothy P. L. Roberts, Ragini Verma

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

2009

A comparative study of diffusion tensor field transformations.

Madhura Ingalhalikar, Vincent A. Magnotta, Jinsuh Kim, Andrew L. Alexander

Proceedings of the Medical Imaging 2009: Image Processing, 2009