Madhura Ingalhalikar

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 13

Top Topics

Network Connectivity

High Resolution

Top Venues

Publications

Shweta Prasad, Archith Rajan, Madhura Ingalhalikar, Rose Dawn Bharath, Jitender Saini, Pramod Kumar Pal
Probabilistic Tractography-Based Tremor Network Connectivity in Tremor Dominant Parkinson's Disease and Essential Tremor plus. Brain Connect. 14 (6) (2024)
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.
Federated Learning Enables Big Data for Rare Cancer Boundary Detection. CoRR (2022)
Priyanka Tupe-Waghmare, Piyush Malpure, Ketan Kotecha, Manish Beniwal, Vani Santosh, Jitender Saini, Madhura Ingalhalikar
Comprehensive Genomic Subtyping of Glioma Using Semi-Supervised Multi-Task Deep Learning on Multimodal MRI. IEEE Access 9 (2021)
Madhura Ingalhalikar, Sumeet Shinde, Arnav Karmarkar, Archith Rajan, D. Rangaprakash, Gopikrishna Deshpande
Functional Connectivity-Based Prediction of Autism on Site Harmonized ABIDE Dataset. IEEE Trans. Biomed. Eng. 68 (12) (2021)
Sumeet Shinde, Priyanka Tupe-Waghmare, Tanay Chougule, Jitender Saini, Madhura Ingalhalikar
Predictive and discriminative localization of pathology using high resolution class activation maps with CNNs. PeerJ Comput. Sci. 7 (2021)
Pranav Budhwant, Sumeet Shinde, Madhura Ingalhalikar
Open-Set Recognition for Skin Lesions Using Dermoscopic Images. MLMI@MICCAI (2020)
Sonal Gore, Tanay Chougule, Jitender Saini, Madhura Ingalhalikar, Jayant Jagtap
Local Binary and Ternary Patterns Based Quantitative Texture Analysis for Assessment of IDH Genotype in Gliomas on Multi-modal MRI. MLCN/RNO-AI@MICCAI (2020)
Sumeet Shinde, Tanay Chougule, Jitender Saini, Madhura Ingalhalikar
HR-CAM: Precise Localization of Pathology Using Multi-level Learning in CNNs. MICCAI (4) (2019)
Tanay Chougule, Sumeet Shinde, Vani Santosh, Jitender Saini, Madhura Ingalhalikar
On Validating Multimodal MRI Based Stratification of IDH Genotype in High Grade Gliomas Using CNNs and Its Comparison to Radiomics. RNO-AI@MICCAI (2019)
Sumeet Shinde, Tanay Chougule, Jitender Saini, Madhura Ingalhalikar
HR-CAM: Precise Localization of Pathology Using Multi-level Learning in CNNs. CoRR (2019)
Adnan Ahmad, Srinjay Sarkar, Apurva Shah, Sonal Gore, Vani Santosh, Jitender Saini, Madhura Ingalhalikar
Predictive and discriminative localization of IDH genotype in high grade gliomas using deep convolutional neural nets. ISBI (2019)
Narendra Patwardhan, Madhura Ingalhalikar, Rahee Walambe
ARiA: Utilizing Richard's Curve for Controlling the Non-monotonicity of the Activation Function in Deep Neural Nets. CoRR (2018)
Apurva Shah, Abhishek Lenka, Jitender Saini, Shivali Wagle, Rajini M. Naduthota, Ravi Yadav, Pramod Kumar Pal, Madhura Ingalhalikar
Altered Brain Wiring in Parkinson's Disease: A Structural Connectome-Based Analysis. Brain Connect. 7 (6) (2017)
Stephen Suffian, Diego Ponce de León Baridó, Madhura Ingalhalikar, Pritpal Singh
Increasing Grid Flexibility Through Improved Electricity Demand Prediction in Nicaragua. ICMLA (2015)
Birkan Tunç, William A. Parker, Madhura Ingalhalikar, Ragini Verma
Automated tract extraction via atlas based Adaptive Clustering. NeuroImage 102 (2014)
Madhura Ingalhalikar, Alex R. Smith, Luke Bloy, Ruben C. Gur, Timothy P. L. Roberts, Ragini Verma
Identifying Sub-Populations via Unsupervised Cluster Analysis on Multi-Edge Similarity Graphs. MICCAI (2) (2012)
Luke Bloy, Madhura Ingalhalikar, Nematollah Batmanghelich, Robert T. Schultz, Timothy P. L. Roberts, Ragini Verma
An Integrated Framework for High Angular Resolution Diffusion Imaging-Based Investigation of Structural Connectivity. Brain Connect. 2 (2) (2012)
Luke Bloy, Madhura Ingalhalikar, Harini Eavani, Robert T. Schultz, Timothy P. L. Roberts, Ragini Verma
White matter atlas generation using HARDI based automated parcellation. NeuroImage 59 (4) (2012)
Madhura Ingalhalikar, William A. Parker, Luke Bloy, Timothy P. L. Roberts, Ragini Verma
Using Multiparametric Data with Missing Features for Learning Patterns of Pathology. MICCAI (3) (2012)
Luke Bloy, Madhura Ingalhalikar, Ragini Verma
Neuronal white matter parcellation using spatially coherent normalized cuts. ISBI (2011)
Luke Bloy, Madhura Ingalhalikar, Harini Eavani, Timothy P. L. Roberts, Robert T. Schultz, Ragini Verma
HARDI Based Pattern Classifiers for the Identification of White Matter Pathologies. MICCAI (2) (2011)
Madhura Ingalhalikar, Drew Parker, Luke Bloy, Timothy P. L. Roberts, Ragini Verma
Diffusion based abnormality markers of pathology: Toward learned diagnostic prediction of ASD. NeuroImage 57 (3) (2011)
Madhura Ingalhalikar, Nancy Andreasen, Jinsuh Kim, Andrew L. Alexander, Vincent A. Magnotta
White matter degeneration in schizophrenia: a comparative diffusion tensor analysis. Medical Imaging: Image Processing (2010)
Madhura Ingalhalikar, Jinzhong Yang, Christos Davatzikos, Ragini Verma
DTI-DROID: Diffusion tensor imaging-deformable registration using orientation and intensity descriptors. Int. J. Imaging Syst. Technol. 20 (2) (2010)
Madhura Ingalhalikar, Stathis Kanterakis, Ruben C. Gur, Timothy P. L. Roberts, Ragini Verma
DTI Based Diagnostic Prediction of a Disease via Pattern Classification. MICCAI (1) (2010)
Madhura Ingalhalikar, Vincent A. Magnotta, Jinsuh Kim, Andrew L. Alexander
A comparative study of diffusion tensor field transformations. Medical Imaging: Image Processing (2009)