Get started
Author

Mostafa Daneshgar Rahbar

Observed names: Mostafa D. Rahbar, Mostafa Rahbar
ORCID: 0000-0001-5277-7135
Observed ORCID: 0000-0001-5277-7135
OpenAlex ID: A5061974513
An entropy‐based approach to detect and localize intraoperative bleeding during minimally invasive surgery
2020 · Mostafa Daneshgar Rahbar, Luke Reisner, et al. · International Journal of Medical Robotics and Computer Assisted Surgery · 14
Visual Intelligence: Prediction of Unintentional Surgical-Tool-Induced Bleeding during Robotic and Laparoscopic Surgery
2021 · Mostafa Daneshgar Rahbar, Hao Ying, et al. · Robotics · 13
PDF
Toward Intraoperative Visual Intelligence: Real-Time Surgical Instrument Segmentation for Enhanced Surgical Monitoring
2024 · Mostafa Daneshgar Rahbar, George Pappas, et al. · Healthcare · 12
PDF
Enhanced U-Net with GridMask (EUGNet): A Novel Approach for Robotic Surgical Tool Segmentation
2023 · Mostafa Daneshgar Rahbar, Seyed Ziae Mousavi Mojab · Journal of Imaging · 2
PDF
Range-Invariant Time-Varying Phased Array for Autonomous Electronic Angular Scanning in Wireless and Sensing Systems
2025 · Dylan Flejszon, Mostafa Rahbar, et al. · International Conference on Advanced Communication Technologies and Networking (CommNet)
Directional Frame Delivery and Sector–Based Scheduling Using a Time–Varying Phased Array
2025 · Dylan Flejszon, Mostafa Rahbar, et al. · International Conference on Advanced Communication Technologies and Networking (CommNet)
TVPA for Simultaneous Beam Training and Data Transmission
2025 · Dylan Flejszon, Mostafa Rahbar, et al. · International Conference on Advanced Communication Technologies and Networking (CommNet)
Vision Transformer-Based Fine-Tuned SAM for Enhanced Bariatric Surgery Image Segmentation
2025 · Daulet Kaldybek, Mostafa D. Rahbar, et al. · Lecture notes in networks and systems
PDF
Visual Intelligence For Robotic And Laparoscopic Surgery: A Real-Time System For Bleeding Detection And Prediction
2020 · Mostafa Daneshgar Rahbar · Human Biology
Works count: 9
Citation count: 41
H-index: 3
I10-index: 3
Year
Topic
Type