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Craig Jones presenting at JHU Radiology Research Day

Craig Jones, assistant research professor of computer science, and students across the department recently presented their research and posters at the Johns Hopkins University Radiology Research Day.

Jones, also an affiliate of the Malone Center for Engineering in Healthcare, presented to the cohort on “AI Applications in Radiology”.  Jones research areas focus on medical image processing and artificial intelligence.

During the poster session of the day, students of Jones’ had the opportunity to present, with Ammar Latheef, graduate student in computer science, earning an award for his team’s research.

Below are the other presenters from the day:

  • Received a poster award: Sejal Ghate, Ammar Latheef, Zhipeng Hui, Alberto Santamaria-Pang, Ivan Tarapov, Craig Jones, Haris Sair, “Deep Labeling of fMRI Brain Networks”, JHU Radiology Research Day, 2022.
  • Felicia Wang, Sejal Ghate, Craig Jones, Shruti Agarwal, Sachin Gujar, Haris Sair, “Static and dynamic functional connectivity of language task fMRI using graph theory”, JHU Radiology Research Day, 2022.
  • Hrishikesh Kambli, Alberto Santamaria-Pang, Ivan Tarapov, Haris Sair, Craig Jones, “ Atlas Based Functional Labeling of Resting State fMRI”, JHU Radiology Research Day, 2022.
  • Yihong Guo, Brian Caffo, Alberto Santamaria-Pang, Ivan Tarapov, Haris Sair, Craig Jones, “Sequential Learning in Radiology for Incrementally Available Datasets”, JHU Radiology Research Day, 2022.
  • Saicharan Balamurali, Aamina Dhar, Katharine Lee, Haris Sair, Vivek Yedavalli, Craig Jones, “Automating Tortuosity Calculations in Cerebral Blood Vessels”, JHU Radiology Research Day, 2022.
  • Adham Khalil, Amanda R. Laguna, Tej Mehta, Prateek Gowda, Anna Gong, Tushar Garg, Robert Weinstein, Natalie Ring, Ryan England, David Gullotti, Craig Jones, Clifford R. Weiss, “Quantitative MRI-based Radiomic Analysis of Percutaneous Sclerotherapy Outcomes in Peripheral Extremity Venous Malformations”, JHU Radiology Research Day, 2022.
  • Alex G. Raman, Adham Khalil, Clifford R. Weiss, Craig Jones, “Automated Neural Network Segmentation of Venous Malformations”, JHU Radiology Research Day, 2022.