Contact Us
CiiS Lab
Johns Hopkins University
112 Hackerman Hall
3400 N. Charles Street
Baltimore, MD 21218
Directions
Lab Director
Russell Taylor
127 Hackerman Hall
rht@jhu.edu
This shows you the differences between two versions of the page.
Both sides previous revisionPrevious revisionNext revision | Previous revision | ||
courses:456:2023:schedule [2023/02/26 17:31] – jbarrag3 | courses:456:2023:schedule [2023/04/24 23:23] (current) – jbarrag3 | ||
---|---|---|---|
Line 90: | Line 90: | ||
* Team 8: Automated Spinal Segmentation and Remote Monitor Calibration for Surgical Assessment | * Team 8: Automated Spinal Segmentation and Remote Monitor Calibration for Surgical Assessment | ||
* Team 23: Creation Of A Novel Real-time Communication Solution For Timely Sepsis Management | * Team 23: Creation Of A Novel Real-time Communication Solution For Timely Sepsis Management | ||
+ | |||
* **March 07** | * **March 07** | ||
* Background reading presentations | * Background reading presentations | ||
Line 107: | Line 108: | ||
* Team 16: Deep learning continuum wire manipulator | * Team 16: Deep learning continuum wire manipulator | ||
* Team 1: Transparency Optimization of the Galen Surgical System with Frequency Domain Admittance Controller Design | * Team 1: Transparency Optimization of the Galen Surgical System with Frequency Domain Admittance Controller Design | ||
- | * Team 17: Automatic Calibration of force-sensing Instrument with FBG Sensors | + | * <del>Team 17: Automatic Calibration of force-sensing Instrument with FBG Sensors</ |
* Team 10: Design and Evaluation of Surgical Guidance Strategies for Continuum Manipulators | * Team 10: Design and Evaluation of Surgical Guidance Strategies for Continuum Manipulators | ||
* **March 16** | * **March 16** | ||
Line 115: | Line 116: | ||
* Team 23: Creation Of A Novel Real-time Communication Solution For Timely Sepsis Management | * Team 23: Creation Of A Novel Real-time Communication Solution For Timely Sepsis Management | ||
* Team 08: Automated Spinal Segmentation and Remote Monitor Calibration for Surgical Assessment. | * Team 08: Automated Spinal Segmentation and Remote Monitor Calibration for Surgical Assessment. | ||
+ | |||
* **March 21 - Spring break ** | * **March 21 - Spring break ** | ||
* **March 23 - Spring break ** | * **March 23 - Spring break ** | ||
+ | |||
* **March 28** | * **March 28** | ||
* Checkpoint presentations | * Checkpoint presentations | ||
+ | * Team 11: Autonomous Suture Managing for Robotic Suturing | ||
+ | * < | ||
+ | * Team 9: | ||
+ | * Team 19: VR Drilling Simulator for Mastoidectomy | ||
* **March 30** | * **March 30** | ||
- | * Checkpoint presentations | + | * Checkpoint presentations |
+ | * Team 6: 3D Reconstruction of Inner Ear from Histopathology | ||
+ | * Team 18: Dual-robotic arm prostate ultrasound tomography | ||
+ | * Team 5: | ||
+ | * Team 2: | ||
* **April 04** | * **April 04** | ||
* Checkpoint presentations | * Checkpoint presentations | ||
+ | * Team 23: Creation Of A Novel Real-time Communication Solution For Timely Sepsis Management | ||
+ | * Team 10: Design and Evaluation of Surgical Guidance Strategies for Continuum Manipulators | ||
+ | * Team 4: Vision Guided Mosquito Dissection for the Production of Malaria Vaccine | ||
+ | * Team 14: Improve Content Validity of Virtual Drilling Simulator | ||
* **April 06** | * **April 06** | ||
* Checkpoint presentations | * Checkpoint presentations | ||
+ | * Team 7: Real-time Integration of 2D3D Pelvic Registration with Robotic X-ray Acquisition | ||
+ | * Team 16: Deep learning continuum wire manipulator | ||
+ | * Team 22: Ultrasound-Guided Robotic Central Line Placement | ||
+ | * __Team 15: DaVinci-Assisted Continuum Robot Navigation and Manipulation__ | ||
+ | * < | ||
* **April 11** | * **April 11** | ||
* Checkpoint presentations | * Checkpoint presentations | ||
+ | * Team 3: Quality assurance of radiotherapy treatment using scattered x-ray | ||
+ | * Team 1: | ||
+ | * Team 17: Automatic Calibration of force-sensing Instrument with FBG Sensors | ||
+ | * Team 8: Automated Spinal Segmentation and Remote Monitor Calibration for Surgical Assessment | ||
* **April 13** | * **April 13** | ||
- | * Checkpoint presentations | + | * Checkpoint presentations |
+ | * Team 13: Simulation-Assisted Navigation for Head and Neck Surgery | ||
+ | * Team 12: Evaluation of CT Registration for Image-Based Sinus Reconstruction | ||
+ | * Team 21: Tele-operation Control of a High Dexterity Robot for Vitreoretinal Surgery | ||
+ | * __Team 20: A reinforcement learning approach to robotic suturing__ | ||
+ | * Background reading presentations | ||
+ | * < | ||
* **April 18** | * **April 18** | ||
* Background reading presentations | * Background reading presentations | ||
* Team 14: Improve Content Validity of Virtual Drilling Simulator | * Team 14: Improve Content Validity of Virtual Drilling Simulator | ||
- | * Team 2: Continuum Microgripper Modelling for Retinal Surgery. | + | * Team 20: A reinforcement learning approach to robotic suturing. |
* Team 4: Vision Guided Mosquito Dissection for the Production of Malaria Vaccine | * Team 4: Vision Guided Mosquito Dissection for the Production of Malaria Vaccine | ||
* Team 18: Dual-robotic arm prostate ultrasound tomography | * Team 18: Dual-robotic arm prostate ultrasound tomography | ||
Line 138: | Line 168: | ||
* Background reading presentations | * Background reading presentations | ||
* Team 5: | * Team 5: | ||
- | * Team 6: 3D Reconstruction of Inner Ear from Histopathology | + | * <del>Team 6: 3D Reconstruction of Inner Ear from Histopathology</ |
- | * Team 20: A reinforcement learning approach to robotic suturing | + | * Team 2: Continuum Microgripper Modelling for Retinal Surgery. |
+ | * __Team 17: Automatic Calibration of force-sensing Instrument with FBG Sensors__ | ||
* **April 25** | * **April 25** | ||
- | * To be defined | + | * Checkpoint presentations |
+ | * Team 17: Automatic Calibration of force-sensing Instrument with FBG Sensors | ||
+ | * Background reading presentation | ||
+ | * Team 6: 3D Reconstruction of Inner Ear from Histopathology | ||
* **April 27 - Last day of classes** | * **April 27 - Last day of classes** | ||
- | * To be defined | + | * Final checkpoint presentations/ |
- | * **May 02** | + | * **May 11 - Final exam** |
- | * To be defined | + | * Final poster/demo session 0900-1200 |
- | * **May 04** | + | * Project reports due before the poster session (i.e., 0900 on May 11) |
- | * To be defined | + | |
- | * **May 09** | + | |
- | * To be defined | + | |
- | * **May 11** | + | |
- | * To be defined | + | |
- | * **May 16** | + | |
- | * To be defined | + | |
- | * **May 18 - End of semester** | + | |
- | * Final Class | + | |