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Madhura Ingalhalikar
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2020 – today
- 2024
- [j10]Shweta Prasad
, Archith Rajan
Probabilistic Tractography-Based Tremor Network Connectivity in Tremor Dominant Parkinson's Disease and Essential Tremor plus. Brain Connect. 14(6): 340-350 (2024) - 2022
- [i3]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 abs/2204.10836 (2022) - 2021
- [j9]Priyanka Tupe-Waghmare
Comprehensive Genomic Subtyping of Glioma Using Semi-Supervised Multi-Task Deep Learning on Multimodal MRI. IEEE Access 9: 167900-167910 (2021) - [j8]Sumeet Shinde, Priyanka Tupe-Waghmare
Predictive and discriminative localization of pathology using high resolution class activation maps with CNNs. PeerJ Comput. Sci. 7: e622 (2021) - [j7]Madhura Ingalhalikar
Functional Connectivity-Based Prediction of Autism on Site Harmonized ABIDE Dataset. IEEE Trans. Biomed. Eng. 68(12): 3628-3637 (2021) - 2020
- [c13]Sonal Gore
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: 240-248 - [c12]Pranav Budhwant
Open-Set Recognition for Skin Lesions Using Dermoscopic Images. MLMI@MICCAI 2020: 614-623 - [e1]Seyed Mostafa Kia
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. Lecture Notes in Computer Science 12449, Springer 2020, ISBN 978-3-030-66842-6 [contents]
2010 – 2019
- 2019
- [c11]Adnan Ahmad, Srinjay Sarkar, Apurva Shah, Sonal Gore
Predictive and discriminative localization of IDH genotype in high grade gliomas using deep convolutional neural nets. ISBI 2019: 372-375 - [c10]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: 53-60 - [c9]Sumeet Shinde, Tanay Chougule, Jitender Saini, Madhura Ingalhalikar:
HR-CAM: Precise Localization of Pathology Using Multi-level Learning in CNNs. MICCAI (4) 2019: 298-306 - [i2]Sumeet Shinde, Tanay Chougule, Jitender Saini, Madhura Ingalhalikar:
HR-CAM: Precise Localization of Pathology Using Multi-level Learning in CNNs. CoRR abs/1909.12919 (2019) - 2018
- [i1]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 abs/1805.08878 (2018) - 2017
- [j6]Apurva Shah, Abhishek Lenka, Jitender Saini, Shivali Amit Wagle
Altered Brain Wiring in Parkinson's Disease: A Structural Connectome-Based Analysis. Brain Connect. 7(6): 347-356 (2017) - 2015
- [c8]Stephen Suffian, Diego Ponce de León Baridó, Madhura Ingalhalikar, Pritpal Singh:
Increasing Grid Flexibility Through Improved Electricity Demand Prediction in Nicaragua. ICMLA 2015: 356-359 - 2014
- [j5]Birkan Tunç, William A. Parker, Madhura Ingalhalikar, Ragini Verma:
Automated tract extraction via atlas based Adaptive Clustering. NeuroImage 102: 596-607 (2014) - [p1]Madhura Ingalhalikar, Parmeshwar Khurd, Ragini Verma:
Kernel-Based Morphometry of Diffusion Tensor Images. Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data 2014: 229-247 - 2012
- [j4]Luke Bloy, Madhura Ingalhalikar, Nematollah Batmanghelich, Robert T. Schultz, Timothy P. L. Roberts
An Integrated Framework for High Angular Resolution Diffusion Imaging-Based Investigation of Structural Connectivity. Brain Connect. 2(2): 69-79 (2012) - [j3]Luke Bloy, Madhura Ingalhalikar, Harini Eavani, Robert T. Schultz, Timothy P. L. Roberts
White matter atlas generation using HARDI based automated parcellation. NeuroImage 59(4): 4055-4063 (2012) - [c7]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: 254-261 - [c6]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: 468-475 - 2011
- [j2]Madhura Ingalhalikar, Drew Parker, Luke Bloy, Timothy P. L. Roberts
Diffusion based abnormality markers of pathology: Toward learned diagnostic prediction of ASD. NeuroImage 57(3): 918-927 (2011) - [c5]Luke Bloy, Madhura Ingalhalikar, Ragini Verma:
Neuronal white matter parcellation using spatially coherent normalized cuts. ISBI 2011: 2061-2065 - [c4]Luke Bloy, Madhura Ingalhalikar, Harini Eavani, Timothy P. L. Roberts
HARDI Based Pattern Classifiers for the Identification of White Matter Pathologies. MICCAI (2) 2011: 234-241 - 2010
- [j1]Madhura Ingalhalikar, Jinzhong Yang
DTI-DROID: Diffusion tensor imaging-deformable registration using orientation and intensity descriptors. Int. J. Imaging Syst. Technol. 20(2): 99-107 (2010) - [c3]Madhura Ingalhalikar, Stathis Kanterakis, Ruben C. Gur, Timothy P. L. Roberts
DTI Based Diagnostic Prediction of a Disease via Pattern Classification. MICCAI (1) 2010: 558-565 - [c2]Madhura Ingalhalikar, Nancy Andreasen
White matter degeneration in schizophrenia: a comparative diffusion tensor analysis. Image Processing 2010: 762329
2000 – 2009
- 2009
- [c1]Madhura Ingalhalikar, Vincent A. Magnotta
A comparative study of diffusion tensor field transformations. Image Processing 2009: 72591Y
Coauthor Index
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