Madhura Ingalhalikar

28 papers B 2C 1Journal 13Unranked 10

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Probabilistic Tractography-Based Tremor Network Connectivity in Tremor Dominant Parkinson's Disease and Essential Tremor plus. Brain Connect. Shweta Prasad, Archith Rajan, Madhura Ingalhalikar, Rose Dawn Bharath, Jitender Saini, Pramod Kumar Pal
2022	J	`jnl`	Federated Learning Enables Big Data for Rare Cancer Boundary Detection. CoRR 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 E. 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.
2021	J	`jnl`	Comprehensive Genomic Subtyping of Glioma Using Semi-Supervised Multi-Task Deep Learning on Multimodal MRI. IEEE Access Priyanka Tupe-Waghmare, Piyush Malpure, Ketan Kotecha, Manish Beniwal, Vani Santosh, Jitender Saini, Madhura Ingalhalikar
2021	J	`jnl`	Functional Connectivity-Based Prediction of Autism on Site Harmonized ABIDE Dataset. IEEE Trans. Biomed. Eng. Madhura Ingalhalikar, Sumeet Shinde, Arnav Karmarkar, Archith Rajan, D. Rangaprakash, Gopikrishna Deshpande
2021	J	`jnl`	Predictive and discriminative localization of pathology using high resolution class activation maps with CNNs. PeerJ Comput. Sci. Sumeet Shinde, Priyanka Tupe-Waghmare, Tanay Chougule, Jitender Saini, Madhura Ingalhalikar
2020	—	`conf`	Local Binary and Ternary Patterns Based Quantitative Texture Analysis for Assessment of IDH Genotype in Gliomas on Multi-modal MRI. MLCN/RNO-AI@MICCAI Sonal Gore, Tanay Chougule, Jitender Saini, Madhura Ingalhalikar, Jayant Jagtap
2020	—	`ed.`	Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology - Third International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings MLCN/RNO-AI@MICCAI Seyed Mostafa Kia, Hassan Mohy-ud-Din, Ahmed Abdulkadir, Cher Bass, Mohamad Habes, Jane Maryam Rondina, Chantal M. W. Tax, Hongzhi Wang, Thomas Wolfers, Saima Rathore, Madhura Ingalhalikar
2020	—	`conf`	Open-Set Recognition for Skin Lesions Using Dermoscopic Images. MLMI@MICCAI Pranav Budhwant, Sumeet Shinde, Madhura Ingalhalikar
2019	—	`conf`	HR-CAM: Precise Localization of Pathology Using Multi-level Learning in CNNs. MICCAI (4) Sumeet Shinde, Tanay Chougule, Jitender Saini, Madhura Ingalhalikar
2019	J	`jnl`	HR-CAM: Precise Localization of Pathology Using Multi-level Learning in CNNs. CoRR Sumeet Shinde, Tanay Chougule, Jitender Saini, Madhura Ingalhalikar
2019	—	`conf`	On Validating Multimodal MRI Based Stratification of IDH Genotype in High Grade Gliomas Using CNNs and Its Comparison to Radiomics. RNO-AI@MICCAI Tanay Chougule, Sumeet Shinde, Vani Santosh, Jitender Saini, Madhura Ingalhalikar
2019	—	`conf`	Predictive and discriminative localization of IDH genotype in high grade gliomas using deep convolutional neural nets. ISBI Adnan Ahmad, Srinjay Sarkar, Apurva Shah, Sonal Gore, Vani Santosh, Jitender Saini, Madhura Ingalhalikar
2018	J	`jnl`	ARiA: Utilizing Richard's Curve for Controlling the Non-monotonicity of the Activation Function in Deep Neural Nets. CoRR Narendra Patwardhan, Madhura Ingalhalikar, Rahee Walambe
2017	J	`jnl`	Altered Brain Wiring in Parkinson's Disease: A Structural Connectome-Based Analysis. Brain Connect. Apurva Shah, Abhishek Lenka, Jitender Saini, Shivali Amit Wagle, Rajini M. Naduthota, Ravi Yadav, Pramod Kumar Pal, Madhura Ingalhalikar
2015	C	`conf`	Increasing Grid Flexibility Through Improved Electricity Demand Prediction in Nicaragua. ICMLA Stephen Suffian, Diego Ponce de León Baridó, Madhura Ingalhalikar, Pritpal Singh
2014	J	`jnl`	Automated tract extraction via atlas based Adaptive Clustering. NeuroImage Birkan Tunç, William A. Parker, Madhura Ingalhalikar, Ragini Verma
2014	—	`ch.`	Kernel-Based Morphometry of Diffusion Tensor Images. Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data Madhura Ingalhalikar, Parmeshwar Khurd, Ragini Verma
2012	J	`jnl`	An Integrated Framework for High Angular Resolution Diffusion Imaging-Based Investigation of Structural Connectivity. Brain Connect. Luke Bloy, Madhura Ingalhalikar, Nematollah Batmanghelich, Robert T. Schultz, Timothy P. L. Roberts, Ragini Verma
2012	—	`conf`	Identifying Sub-Populations via Unsupervised Cluster Analysis on Multi-Edge Similarity Graphs. MICCAI (2) Madhura Ingalhalikar, Alex R. Smith, Luke Bloy, Ruben C. Gur, Timothy P. L. Roberts, Ragini Verma
2012	—	`conf`	Using Multiparametric Data with Missing Features for Learning Patterns of Pathology. MICCAI (3) Madhura Ingalhalikar, William A. Parker, Luke Bloy, Timothy P. L. Roberts, Ragini Verma
2012	J	`jnl`	White matter atlas generation using HARDI based automated parcellation. NeuroImage Luke Bloy, Madhura Ingalhalikar, Harini Eavani, Robert T. Schultz, Timothy P. L. Roberts, Ragini Verma
2011	J	`jnl`	Diffusion based abnormality markers of pathology: Toward learned diagnostic prediction of ASD. NeuroImage Madhura Ingalhalikar, Drew Parker, Luke Bloy, Timothy P. L. Roberts, Ragini Verma
2011	—	`conf`	HARDI Based Pattern Classifiers for the Identification of White Matter Pathologies. MICCAI (2) Luke Bloy, Madhura Ingalhalikar, Harini Eavani, Timothy P. L. Roberts, Robert T. Schultz, Ragini Verma
2011	—	`conf`	Neuronal white matter parcellation using spatially coherent normalized cuts. ISBI Luke Bloy, Madhura Ingalhalikar, Ragini Verma
2010	—	`conf`	DTI Based Diagnostic Prediction of a Disease via Pattern Classification. MICCAI (1) Madhura Ingalhalikar, Stathis Kanterakis, Ruben C. Gur, Timothy P. L. Roberts, Ragini Verma
2010	J	`jnl`	DTI-DROID: Diffusion tensor imaging-deformable registration using orientation and intensity descriptors. Int. J. Imaging Syst. Technol. Madhura Ingalhalikar, Jinzhong Yang, Christos Davatzikos, Ragini Verma
2010	B	`conf`	White matter degeneration in schizophrenia: a comparative diffusion tensor analysis. Image Processing Madhura Ingalhalikar, Nancy Andreasen, Jinsuh Kim, Andrew L. Alexander, Vincent A. Magnotta
2009	B	`conf`	A comparative study of diffusion tensor field transformations. Image Processing Madhura Ingalhalikar, Vincent A. Magnotta, Jinsuh Kim, Andrew L. Alexander