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Computer Science

D-Index
34
Citations
3373
World Ranking
12325
National Ranking
4986

Overview

Mehran Armand is affiliated with Johns Hopkins University in the United States, focusing on interdisciplinary research at the intersection of medicine and engineering.

Their research spans multiple fields of study including Medicine and Engineering, with specific contributions to Surgery, Biomedical Engineering, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, and Cognitive Neuroscience.

The scientist has contributed to a range of main research topics, notably:

  • Surgical Simulation and Training
  • Anatomy and Medical Technology
  • Soft Robotics and Applications
  • Medical Imaging and Analysis
  • Orthopaedic implants and arthroplasty
  • Radiomics and Machine Learning in Medical Imaging
  • Augmented Reality Applications

Mehran Armand's recent papers include:

  • "Synthetic data accelerates the development of generalizable learning-based algorithms for X-ray image analysis," 2023, published in Nature Machine Intelligence
  • "Automatic annotation of hip anatomy in fluoroscopy for robust and efficient 2D/3D registration," 2020, published in International Journal of Computer Assisted Radiology and Surgery
  • "STTAR: Surgical Tool Tracking Using Off-the-Shelf Augmented Reality Head-Mounted Displays," 2023, published in IEEE Transactions on Visualization and Computer Graphics
  • "A Surgical Robotic System for Treatment of Pelvic Osteolysis Using an FBG-Equipped Continuum Manipulator and Flexible Instruments," 2020, published in IEEE/ASME Transactions on Mechatronics
  • "Data-Driven Shape Sensing of a Surgical Continuum Manipulator Using an Uncalibrated Fiber Bragg Grating Sensor," 2020, published in IEEE Sensors Journal

Frequent coauthors collaborating with Mehran Armand include:

  • Russell H. Taylor
  • Mathias Unberath
  • Cong Gao
  • Alejandro Martin-Gomez
  • Benjamin D. Killeen

Their work has been disseminated across various publication venues. The most frequent venues for their research publications are:

  • arXiv (Cornell University)
  • International Journal of Computer Assisted Radiology and Surgery
  • Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization
  • IEEE Robotics and Automation Letters
  • IEEE Transactions on Medical Robotics and Bionics

Best Publications

  • Intraoperative Image-based Multiview 2D/3D Registration for Image-Guided Orthopaedic Surgery: Incorporation of Fiducial-Based C-Arm Tracking and GPU-Acceleration

    Y. Otake;M. Armand;R. S. Armiger;M. D. Kutzer

  • DeepDRR -- A Catalyst for Machine Learning in Fluoroscopy-guided Procedures

    Mathias Unberath;Jan Nico Zaech;Sing Chun Lee;Bastian Bier

  • X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery

    Bastian Bier;Mathias Unberath;Jan-Nico Zaech;Javad Fotouhi

  • Shape Tracking of a Dexterous Continuum Manipulator Utilizing Two Large Deflection Shape Sensors

    Hao Liu;Amirhossein Farvardin;Robert Grupp;Ryan J. Murphy

  • A Curved-Drilling Approach in Core Decompression of the Femoral Head Osteonecrosis Using a Continuum Manipulator

    Farshid Alambeigi;Yu Wang;Shahriar Sefati;Cong Gao

  • Automatic annotation of hip anatomy in fluoroscopy for robust and efficient 2D/3D registration

    Robert B. Grupp;Mathias Unberath;Cong Gao;Rachel A. Hegeman

  • Relationship between time- and frequency-domain analyses of angular head movements in the squirrel monkey.

    Mehran Armand;Lloyd B. Minor

  • Design and kinematic characterization of a surgical manipulator with a focus on treating osteolysis

    Ryan J. Murphy;Ryan J. Murphy;Michael Dennis Mays Kutzer;Sean M. Segreti;Blake C. Lucas

  • Autonomous Data-Driven Manipulation of Unknown Anisotropic Deformable Tissues Using Unmodelled Continuum Manipulators

    Farshid Alambeigi;Zerui Wang;Rachel Hegeman;Yun-Hui Liu

  • Enabling machine learning in X-ray-based procedures via realistic simulation of image formation.

    Mathias Unberath;Jan-Nico Zaech;Cong Gao;Bastian Bier

  • On the Use of a Continuum Manipulator and a Bendable Medical Screw for Minimally Invasive Interventions in Orthopedic Surgery

    Farshid Alambeigi;Mahsan Bakhtiarinejad;Shahriar Sefati;Rachel Hegeman

  • Data-Driven Shape Sensing of a Surgical Continuum Manipulator Using an Uncalibrated Fiber Bragg Grating Sensor

    Shahriar Sefati;Cong Gao;Iulian Iordachita;Russell H. Taylor

  • STTAR: Surgical Tool Tracking Using Off-the-Shelf Augmented Reality Head-Mounted Displays

    Unknown

  • A Surgical Robotic System for Treatment of Pelvic Osteolysis Using an FBG-Equipped Continuum Manipulator and Flexible Instruments

    Shahriar Sefati;Rachel Hegeman;Farshid Alambeigi;Iulian Iordachita

  • Stress fracture risk analysis of the human femur based on computational biomechanics

    Liming Voo;Mehran Armand;Michael Kleinberger

  • A Robust Data-Driven Approach for Online Learning and Manipulation of Unmodeled 3-D Heterogeneous Compliant Objects

    Farshid Alambeigi;Zerui Wang;Rachel Hegeman;Yun-Hui Liu

  • The Impact of Machine Learning on 2D/3D Registration for Image-Guided Interventions: A Systematic Review and Perspective

    Mathias Unberath;Cong Gao;Yicheng Hu;Max Judish

  • Plan in 2-D, execute in 3-D: an augmented reality solution for cup placement in total hip arthroplasty.

    Javad Fotouhi;Clayton P. Alexander;Mathias Unberath;Giacomo Taylor

  • High-Resolution Optical Fiber Shape Sensing of Continuum Robots: A Comparative Study *

    Frederic Monet;Shahriar Sefati;Pierre Lorre;Arthur Poiffaut

  • Learning to detect anatomical landmarks of the pelvis in X-rays from arbitrary views

    Bastian Bier;Florian Goldmann;Florian Goldmann;Jan-Nico Zaech;Jan-Nico Zaech;Javad Fotouhi

  • Generalizing Spatial Transformers to Projective Geometry with Applications to 2D/3D Registration

    Cong Gao;Xingtong Liu;Wenhao Gu;Benjamin Killeen

  • Augmented Reality for Acetabular Component Placement in Direct Anterior Total Hip Arthroplasty

    Clayton Alexander;Alexander E. Loeb;Javad Fotouhi;Nassir Navab

  • An Active Steering Hand-Held Robotic System for Minimally Invasive Orthopaedic Surgery Using a Continuum Manipulator

    Justin H. Ma;Shahriar Sefati;Russell H. Taylor;Mehran Armand

  • Modeling Cable and Guide Channel Interaction in a High-Strength Cable-Driven Continuum Manipulator

    Matthew S. Moses;Ryan J. Murphy;Michael D. M. Kutzer;Mehran Armand

  • Early Feasibility Studies of Augmented Reality Navigation for Lateral Skull Base Surgery

    Francis X. Creighton;Mathias Unberath;Tianyu Song;Zhuokai Zhao

  • Patient-specific finite element modeling for femoral bone augmentation.

    Ehsan Basafa;Robert S. Armiger;Michael D. Kutzer;Stephen M. Belkoff;Stephen M. Belkoff

  • Closing the Calibration Loop: An Inside-Out-Tracking Paradigm for Augmented Reality in Orthopedic Surgery.

    Jonas Hajek;Mathias Unberath;Javad Fotouhi;Bastian Bier

Frequent Co-Authors

Russell H. Taylor
Russell H. Taylor Johns Hopkins University
Nassir Navab
Nassir Navab Technical University of Munich
Iulian Iordachita
Iulian Iordachita Johns Hopkins University
Andreas Maier
Andreas Maier University of Erlangen-Nuremberg
Gregory S. Chirikjian
Gregory S. Chirikjian University of Delaware
Peter Kazanzides
Peter Kazanzides Johns Hopkins University
Yun-Hui Liu
Yun-Hui Liu Chinese University of Hong Kong
Yoshinobu Sato
Yoshinobu Sato Nara Institute of Science and Technology
Noah J. Cowan
Noah J. Cowan Johns Hopkins University
Marleen de Bruijne
Marleen de Bruijne Erasmus University Rotterdam

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