A5114860951- Fatigue and fracture mechanics
- Surgical Simulation and Training
- Soft Robotics and Applications
- Augmented Reality Applications
- Material Properties and Failure Mechanisms
- Robotics and Sensor-Based Localization
- Structural Integrity and Reliability Analysis
- Colorectal Cancer Screening and Detection
- Anatomy and Medical Technology
- Hydrogen embrittlement and corrosion behaviors in metals
- Medical Imaging and Analysis
- High-Velocity Impact and Material Behavior
- Optical Wireless Communication Technologies
- Engineering Structural Analysis Methods
- Multilevel Inverters and Converters
- Dental Radiography and Imaging
- Bauxite Residue and Utilization
- Metal Forming Simulation Techniques
- Teleoperation and Haptic Systems
- Fire effects on concrete materials
- Digital Imaging in Medicine
- Ear Surgery and Otitis Media
- Advanced DC-DC Converters
- Adaptive optics and wavefront sensing
- Recycling and utilization of industrial and municipal waste in materials production
Johns Hopkins University
2023-2025
Johns Hopkins Medicine
2024
Research & Development Establishment (Engrs.)
2022-2024
GLA University
2023
Bhabha Atomic Research Centre
2004-2022
Indian Space Research Organisation
2021-2022
Zuse Institute Berlin
2017-2021
National Institute of Technology Rourkela
2016-2021
Homi Bhabha National Institute
2015-2017
Indian Institute of Technology Bhilai
2014
Abstract Objective Preoperative planning for otologic or neurotologic procedures often requires manual segmentation of relevant structures, which can be tedious and time‐consuming. Automated methods segmenting multiple geometrically complex structures not only streamline preoperative but also augment minimally invasive and/or robot‐assisted in this space. This study evaluates a state‐of‐the‐art deep learning pipeline semantic temporal bone anatomy. Study Design A descriptive network. Setting...
Use microscopic video-based tracking of laryngeal surgical instruments to investigate the effect robot assistance on instrument tremor.
INTRODUCTION: The ablative nature of surgery means that pre-operative imaging studies lose correspondence as a case progresses, which can be problematic when accurate intraoperative navigation is required. Accurate 3D surface reconstruction from endoscopic video potential strategy for real-time updates without additional equipment. We have previously used traditional computational models to generate skull base reconstructions. However, they are time-consuming and require technical skills...
Segmentation of surgical instruments in endoscopic video streams is essential for automated scene understanding and process modeling. However, relying on fully supervised deep learning this task challenging because manual annotation occupies valuable time the clinical experts.
Abstract Automatic recognition of surgical phases is an important component for developing intra-operative context-aware system. Prior work in this area focuses on recognizing short-term tool usage patterns within phases. However, the difference between intra- and inter-phase has not been investigated automatic phase recognition. We developed a Recurrent Neural Network (RNN), particular state-preserving Long Short Term Memory (LSTM) architecture to utilize long-term evolution complete...
Surgical robots are an important component for delivering advanced paradigm shifting technology such as image guided surgery and navigation. However, robotic systems to be readily adopted into the operating room they must easy convenient control facilitate a smooth surgical workflow. In minimally invasive surgery, laparoscope may held by robot but controlling moving remains challenging. It is disruptive workflow surgeon put down tools move in particular solo approaches. This paper proposes...
Free space optics (FSO) has achieved prominence in extremely large bandwidth, unlicensed spectrum and low power secure transmission the field of wireless communication. Despite advantages, it is deeply impacted due to atmospheric turbulence fog weather conditions. This paper considers different modulation schemes under presence The desired expression bit error rate (BER) obtained by modeling as gamma-gamma distributed channel this condition, 16-PPM provided better performance than other...