(†: equal contribution)

Published Papers

• Unidirectional brain-computer interface: Artificial neural network encoding natural images to fMRI response in the visual cortex
  Ruixing Liang, Xiangyu Zhang, Qiong Li, Lai Wei, Hexin Liu, Avisha Kumar, Kelley M. Kempski Leadingham, Joshua Punnoose, Leibny Paola Garcia, and Amir Manbachi
  ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  Seoul, Korea. Apr, 2024.
  Poster link

• Focused Ultrasound Neuromodulation of Human In Vitro Neural Cultures in Multi-Well Microelectrode Arrays
  Ruixing Liang, Griffin Mess, Joshua Punnoose, Kelley M. Kempski Leadingham, Constantin Smit, Nitish Thakor, Christa W. Habela, Betty Tyler, Yousef Salimpour, and Amir Manbachi
  JoVE (Journal of Visualized Experiments) 207 (2024): e65115.

• Twin-S: a digital twin for skull base surgery
  Shu, Hongchao†, Ruixing Liang†, Zhaoshuo Li, Anna Goodridge, Xiangyu Zhang, Hao Ding, Nimesh Nagururu et al. “Twin-S: a digital twin for skull base surgery.” International journal of computer assisted radiology and surgery 18, no. 6 (2023): 1077-1084.
  International Journal of Computer Assisted Radiology and Surgery 18, no. 7 (2023): 1077-1084

• Designing an Accurate Benchtop Characterization Device: An Acoustic Measurement Platform for Localizing and Implementing Therapeutic Ultrasound Devices and Equipment (Amplitude)
  Ruixing Liang, Max Kerensky, Eli Curry, Griffin Mess, Rasika Thombre, Serene Kamal, Fariba Aghabaglou, Richard Mejia, Francisco Chavez, Kyle Morrison, Nitish Thakor, Nicholas Theodore, Amir Manbachi
  In Frontiers in Biomedical Devices, vol. 84815, p. V001T10A003. American Society of Mechanical Engineers, 2022.
  Minneapolis, USA. Apr, 2022

  
  

Contributing Published paper

• SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions–An EndoVis
  Ding, Hao, Tuxun Lu, Yuqian Zhang, Ruixing Liang, Hongchao Shu, Lalithkumar Seenivasan, Yonghao Long, Qi Dou, Cong Gao, and Mathias Unberath
  arXiv preprint arXiv:2407.11906 (2024).

• Sonodynamic therapy for the treatment of glioblastoma multiforme in a mouse model using a portable benchtop focused ultrasound system
  Mess, Griffin, Taylor Anderson, Shivani Kapoor, Rasika Thombre, Ruixing Liang, Emre Derin, Kelley M. Kempski-Leadingham, Santosh K. Yadav, Betty Tyler, and Amir Manbachi
  JoVE (Journal of Visualized Experiments) 192 (2023): e65114.

• Tatoo: vision-based joint tracking of anatomy and tool for skull-base surgery
  Li, Zhaoshuo, Hongchao Shu, Ruixing Liang, Anna Goodridge, Manish Sahu, Francis X. Creighton, Russell H. Taylor, and Mathias Unberath
  International Journal of Computer Assisted Radiology and Surgery 18, no. 7 (2023): 1303-1310.

Ongoing Projects

• Conversational Audio Speech of Peer Engagement Recordings (CASPER) bridges AI agents to Real Life {#deep-learning-medical-imaging}
• Supervised by Prof. Khudanpur Sanjeev and Dr. Leibny Paola Garcia

Conversational Audio Speech of Peer Engagement Recordings (CASPER) introduces a novel dataset designed to advance AI research in naturalistic dialogue systems. CASPER provides a rich resource of spontaneous and casual conversations, specifically tailored to enhance the training of AI models in understanding semantic context, maintaining topical coherence, and executing effective turn-taking. Collected through a cross-platform web application and open-sourced in collaboration with universities, the dataset encompasses a diverse range of speakers and scenarios. The pilot phase of CASPER has 100 hours of transcribed and human validated English conversational audio amongst more than 100 users which in next phase aims to amass 100k hours, with plans to extend to other languages and global university partners. To facilitate the research on this corpus, we provide results of several benchmark models. Comparative results show that for this dataset, our current models are not able to provide significant improvement by introducing background knowledge/topic. Therefore, the proposed dataset should be a good benchmark for further research to evaluate the validity and naturalness of multi-turn conversation systems. This dataset addresses critical gaps in existing resources, which predominantly focus on text or formal speech and often lack the flexibility to adapt to the diverse linguistic landscape. By facilitating scalable data collection for casual, expressive, and conversational speech across various languages, CASPER stands to significantly enhance the development of AI systems capable of engaging in more human-like interactions.

-More projects are work in progress stay tuned in next few months for more details

Early Projects

• COVID Automatic Throat Swapping Robot Prototype
  Designed and implemented visual sensing function and deployed on AWS.
  Cloud Surgical Robotics System
  Ruixing Liang, Ziheng Xiao (Advisors: Dr. Fangde Liu, Bingbing Li)
  Hangzhou, China, 2020~2021

• Automatic Echocardiogram Measurements and Diagnostic robotics system
  Designed and implemented end to end pipeline from scratch, from online data annation tool to model design and training and AWS deployment.
  Ruixing Liang, Xinnan Jiang (Advisors: Dr. Fangde Liu, Dr.Chang Yu)
  Hangzhou, China, 2020

• Wearable Smart Ring for Cardiac Monitoring
  Sophomore-year research projects
  Ruixing Liang, Jianqiang Lin, Yueming Li
  Shenzhen, China, 2017.
  

Update: 29th Sep 2024