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2020 – today
- 2024
[c9]Phani Sriram Vadali, Bhuvan Jayam, Pon Deepika, Madhav Rao, Vikas Vazhayil:
Computer Assisted Phase Recognition of Micro-Neurosurgical Intraoperative Videos. CBMS 2024: 456-460- [c8]Pranav Reddy, Madamanchi Prudhvi, Pon Deepika, Vikas Vazhayil, Madhav Rao:
Deep Learning Assisted Anatomical Landmark Segmentation in Endoscopic Third Ventriculostomy Videos. DMIP 2024: 88-93 - [c7]Agastya Thoppur, Madamanchi Pruritivi, Pon Deepika, Madhav Rao, Vikas Vazhayil:
Deep Learning Assisted Phase Recognition in Endoscopic Third Ventriculostomy Procedures. ISBI 2024: 1-5 - 2023
- [c6]Vaibhavi Lokegaonkar, Vijay Jaisankar, Pon Deepika, Madhav Rao, T. K. Srikanth, Sarbani Mallick, Manjit Sodhi:
Introducing SSBD+ Dataset with a Convolutional Pipeline for Detecting Self-Stimulatory Behaviours in Children Using Raw Videos. HealthCom 2023: 288-293 - [i1]Vaibhavi Lokegaonkar, Vijay Jaisankar, Pon Deepika, Madhav Rao, T. K. Srikanth, Sarbani Mallick, Manjit Sodhi:
Introducing SSBD+ Dataset with a Convolutional Pipeline for detecting Self-Stimulatory Behaviours in Children using raw videos. CoRR abs/2311.15072 (2023) - 2022
- [c5]Pon Deepika, Prasad Sistla, Ganesh Subramaniam, Madhav Rao:
Deep Learning based Automated Screening for Intracranial Hemorrhages and GRAD-CAM Visualizations on Non-Contrast Head Computed Tomography Volumes. BHI 2022: 1-5 - [c4]Pon Deepika, Karthik Udupa, Manish Beniwal, Alok Mohan Uppar, Vikas Vazhayil, Madhav Rao:
Automated Microsurgical Tool Segmentation and Characterization in Intra-Operative Neurosurgical Videos. EMBC 2022: 2110-2114 - 2020
- [c3]Sriram Marisetty, Pavan Kumar Pothula, Pon Deepika, C. K. Vinay, Vikas Vazhayil, Madhav Rao:
System Design of an Automated Drilling Device for Neurosurgical Applications. ACIRS 2020: 52-58 - [c2]Pon Deepika, Sriram Marisetty, Pavan K, C. K. Vinay, Srikanth T. K
, Vikas Vazhayil, Madhav Rao:
Autonomous Neuro-Navigation System for Neurosurgical Robotics. IEEE SENSORS 2020: 1-4 - [c1]Sharmila Mani, C. K. Vinay, Pon Deepika, Madhav Rao:
Surface EMG signal classification for unsupervised musical keyboard learning application. IEEE SENSORS 2020: 1-4
Coauthor Index
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