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ORCIDMadhura Ingalhalikar
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2020 – today
- 2024
[j10]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): 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, 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: 167900-167910 (2021) - [j8]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: e622 (2021) - [j7]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): 3628-3637 (2021) - 2020
- [c13]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: 240-248 - [c12]Pranav Budhwant, Sumeet Shinde, Madhura Ingalhalikar:
Open-Set Recognition for Skin Lesions Using Dermoscopic Images. MLMI@MICCAI 2020: 614-623 - [e1]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:
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, Vani Santosh, Jitender Saini, Madhura Ingalhalikar:
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, 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): 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, Ragini Verma:
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, Ragini Verma:
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, Ragini Verma:
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, Robert T. Schultz, Ragini Verma:
HARDI Based Pattern Classifiers for the Identification of White Matter Pathologies. MICCAI (2) 2011: 234-241 - 2010
- [j1]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): 99-107 (2010) - [c3]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: 558-565 - [c2]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: 762329
2000 – 2009
- 2009
- [c1]Madhura Ingalhalikar, Vincent A. Magnotta, Jinsuh Kim, Andrew L. Alexander:
A comparative study of diffusion tensor field transformations. Medical Imaging: Image Processing 2009: 72591Y
Coauthor Index
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