Here is a list of the project ideas and each individual set of slides for 2024. These will be presented in class over the first few sessions of class.
Remember several points, however:
Our Advanced CIS II projects course has a large enrollment this year, and we are actively soliciting possible projects. As you may recall, CIS II is intended for graduate students and upper-level undergrads, in which students work in teams of 1-3 on semester-long projects broadly related to computer-integrated interventions, AI in medicine, medical image analysis, or related topics. In addition to material covered in lectures/seminars by the instructor and other faculty, students are expected to read and provide critical analysis/presentations of selected papers in recitation sessions. Students taking this course are required to undertake and report on a significant term project. Project mentors may include faculty, engineering staff, postdocs, and (with appropriate approvals) advanced graduate students. Students taking the course sign a non-disclosure agreement at the start of the semester, in order to enable free discussion without compromising patentability. We also keep project web pages restricted for at least a year, or until the mentor(s) agree that they can be made public.
Generally, students select projects in the first 2-3 weeks of class, although some come with an idea beforehand. In order to suggest a project, you can fill out this template (typically about 2-3 slides) and send it to me (rht@jhu.edu) and to the TA (scho72@jh.edu), along with an indication if you would like to present the idea yourself or if you would like us to present it for you. If the file is too big to email, then feel free to send a link.
First, thank you for mentoring a CIS II project this year. This course provides a great educational experience for the students, and also can produce useful research results. Its success depends greatly on the project mentors, and I hope that your experience this year has been productive both for you and for the students.
As part of our grading process, we are encouraging project mentors to provide some input. You all should have been granted access to the course web site and to the individual project(s) that you are mentoring.
We would really appreciate it if you can answer a few questions. Either edit the linked form and email it to me (rht@jhu.edu) and the TA (Sue Min Cho, scho72@jhu.edu@jh.edu), with a file name like “Project xxx mentors report.docx” or just sent an email with a similar subject line.
Finally, note that the annual final exam / poster session will be on the assigned final exam day on Zoom (https://wse.zoom.us/j/635091574). I very much hope that you can attend. Also, the project reports are due on the day of the poster session, but the students have been told that you need an opportunity to review the reports before then. Also, we will need your comments to us by 9 PM on the day of the poster session, since we will be using them to help us with our evaluation of the projects.
The links below point to the Wiki pages for your projects. You should follow the link. This will bring you to a project home page that you can edit once you log in. The two little gear symbols on the upper right give access to functions like login, logout, edit page, etc. The login/logout is on the leftmost gear. Note that there are many styles of Wiki, with different syntax. This one is “dokuwiki”. There is a link to help pages from the edit page.
The current default access settings are “read” for the CiiS lab, no access to members of the general public, and full power to members of your group. If you want to restrict read access to smaller group (e.g., all 456 students, etc.) contact Prof. Taylor. Prof. Taylor can also implement access control for individual pages if you so desire. If you want the whole world to be able to read your project pages, that can be arranged. Do not post anything to unprotected pages that you want kept private until you have arranged with Prof. Taylor to protect them.
Also, verify that each member of your group can log in. If you have trouble, contact Prof. Taylor via email providing correct name and JHED id.
Finally, if you want to give other individuals (e.g., your mentors) access to your project pages, provide name and JHED id to Prof. Taylor
NOTE: At the end of the semester, all projects will be made readable to the general public, unless you make arrangements otherwise with Prof. Taylor
As we discussed in class, some of the projects may contain potentially patentable material or other material that should not be disclosed publicly until a later time. In order to permit free in-class discussion of this material, we have developed a non-disclosure agreement. When asked, the entire class agreed to sign such an agreement, a copy of which is linked below.
Team Members: Nimesh Nagururu, Hannah Puhov
Mentors: Adnan Munawar, Manish Sahu, Hisashi Ishida, Francis Creighton, Deepa Galaiya
Project Pages: Performance Metrics and Skills Analysis for Skull-Base Surgery
Team Members: Gabby Kang
Mentors: Jeeun Kang, Emad M. Boctor, Martin G. Pomper, Stephen B. Solomon
Project Pages: Non-invasive photoacoustic circulating tumor cell detection and therapy
Team Members: Danny Chang, Austin Huang
Mentors: Han Zhang, Benjamin Killeen, Mathias Unberath
Project Pages: Measuring Variability of Pelvic Standard Views in Virtual Reality
Team Members: Saardhak Bhrugubanda, Vivek Chari, Aabhas Jain
Mentors: Iulian Iordachita, Yanzhou Wang
Project Pages: Robotic Assistant for MRI-Guided Low Back Pain Injections
Team Members: Yuxuan Zhao
Mentors: Benjamin Killeen, Han Zhang, Mathias Unberath; Alejandro Martin-Gomez
Project Pages: A cannula marker body for tracker-free surgical navigation during Kirschner wire placement
Team Members: Esther Wang, Zechen Xu, Yu-Chun Ku
Mentors:Alejandro Martin Gomez, Amit Jain
Project Pages: Augmented reality-enhanced surgical microscopes for orthopedic spinal procedures
Team Members: Chang Chang, Junling Mei
Mentors: Iulian Iordachita, Yanzhou Wang
Project Pages: Design of a Closed-Loop Bevel-Tip Needle Steering System Using Electromagnetic Tracking for Prostate Biopsies
Team Members: Tae Wan Kim
Mentors: Hisashi Ishida, Juan Barragan, Adnan Munawar, Peter Kazanzides, Jintan Zhang
Project Pages: Surgical Robotics Environment for NVIDIA Isaac Sim
Team Members: Boxun Hu, Joe Yan
Mentors: Jeeun Kang, Emad M. Boctor, Hyunwoo Song
Project Pages: Deep learning-based optimization of novel transformable transrectal ultrasound and photoacoustic imaging
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Team Members: Janya Budaraju
Mentors: Benjamin Killeen, Mathias Unberath
Project Pages: Bringing View-invariant X-ray Image Analysis into the Operating Room
Team Members: Shiyue Vanessa Wang
Mentors: Adnan Munawar, Peter Kazanzides, Jintan Zhang, Hisashi Ishida, Juan Barragan
Project Pages: Digital playground for developing medical robotics environments
Team Members: Kiana Bronder, Keerthana Thammana
Mentors: Ugur Tumerdem, Deepa Galaiya, Hisashi Ishida, Manish Sahu, Russ Taylor
Project Pages: Admittance Switching for Virtual Fixtures in Microsurgery
Team Members: Rohan Mukundhan, Kent Shibata
Mentors: Peter Kazanzides, Ugur Tumerdem, Brendan Burkhart, Anton Deguet
Project Pages: Learning Based Sensorless Force Estimation for Haptic Feedback on the dVRK
Team Members: Nidhi Batra, Rena Bi, Lavinia Kong
Mentors: Vinciya Pandian, Michael Brenner, Axel Kreiger
Project Pages: Design of an Automated Robotic Patient Tracheostomy Suctioning System
Team Members: Jin Wu
Mentors: Anqi Liu, Adnan Munawar, Peter Kazanzides, Juan Barragan
Project Pages: A reinforcement learning approach to robotic suturing
Team Members: Zhiyuan Zhu
Mentors: Carmen Kut, Francis (Pete) Creighton, Xingde Li
Project Pages: Enabling High Precision Post-Operative Radiation Therapy (PORT) Delivery for Skull Based Cancers
Team Members: Daniel Wang
Mentors: Anuruddha Bhattacharjee, Axel Krieger
Project Pages: Design and Control of Miniature Magnetic Surgical Tools
Team Members: Yihui Yao
Mentors: Peter Kazanzides
Project Pages: An open source laparoscopic simulator
Team Members: Jakub Piwowarczyk
Mentors: Dan Stoianovici
Project Pages: Deep Learning for the Auto-Labelling of Prostate Multiparametric Magnetic Resonance Imaging (mpMRI) Scans
Team Members: Xingyu Chen, Yichen Xie
Mentors: Hisashi Ishida, Juan Antonio Barragan, Laura Connolly, Manish Sahu, Adnan Munawar
Project Pages: Exploration of Update Methods for Signed Distance Field
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