Johns Hopkins University Computer Science

In the Whiting School of Engineering at Johns Hopkins University magazine: “Design is not just about aesthetics,” says CS major Michael Baum, Engr ’27. “It is fundamentally about communication. Small decisions can determine whether someone immediately grasps the main idea or misses it entirely.”

Discerning Data - Johns Hopkins Engineering Magazine Storytelling with Data demonstrates the importance of ethically collecting and interpreting data.

📢 Attention undergrads! 📢 Join us next week for our second Faculty Research Panel of the summer to learn about research opportunities available to you and connect with faculty outside of the classroom! ☀️ Learn more here: https://www.cs.jhu.edu/event/computer-science-faculty-research-panel-8/

Congratulations to the Johns Hopkins University Computational Cognition, Vision, and Learning group on its acceptances to the American Association of Physicists in Medicine (AAPM) / Canadian Organization of Medical Physicists Annual Meeting and Exhibition ! Learn about the abstracts the team will be presenting next week in Vancouver 🇨🇦:

- ORAL PRESENTATIONS -

In “AI-Assisted Pancreatic Target Delineation on CT: Multicenter Validation and Contouring QA,” Wenxuan Li, Pedro R. A. S. Bassi, Xinze Zhou, Qi Chen, Kai Ding, Heng Li, Alan Yuille, Zongwei Zhou, and collaborators from UCSF develop and validate an AI system that supports radiotherapy-relevant pancreatic target 🎯 delineation: https://aapm.confex.com/aapm/2026am/meetingapp.cgi/Paper/25623

“Physics-Informed Synthetic Tumor Modeling In CT for Training and Stress-Testing Target Delineation AI” by Qi Chen, Wenxuan Li, Kai Ding, Heng Li, Alan Yuille, and Zongwei Zhou tests whether a “time-machine” ⌛ tumor synthesis pipeline can generate realistic small PDAC targets 🎯: https://aapm.confex.com/aapm/2026am/meetingapp.cgi/Paper/25952

Tianyu Lin, Junqi Liu, Kai Ding, Heng Li, Alan Yuille, and Zongwei Zhou test whether commonly used pixel-wise CT reconstruction metrics reflect the preservation of clinically relevant anatomy 🩻 for radiotherapy imaging in “Task-Based Evaluation of Sparse-View CT Reconstruction Metrics for Radiotherapy Imaging”: https://aapm.confex.com/aapm/2026am/meetingapp.cgi/Paper/26147

- SNAP ORAL PRESENTATIONS -

In “A Multicenter Pancreatic Target Segmentation Dataset for Radiotherapy and Imaging AI Benchmarking” Wenxuan Li, Xinze Zhou, Qi Chen, Pedro R. A. S. Bassi, Kai Ding, Heng Li, Alan Yuille, Zongwei Zhou, and collaborators from UCSF and NVIDIA provide a large, diverse, and quality-controlled abdominal CT dataset: https://aapm.confex.com/aapm/2026am/meetingapp.cgi/Paper/26254

“Weakly Supervised Radiotherapy Segmentation from CT Reports: Reducing Voxel-Wise Labeling for Target Tumors and Organs-at-Risk” by Pedro R. A. S. Bassi, Wenxuan Li, Xinze Zhou, Kai Ding, Heng Li, Alan Yuille, Zongwei Zhou, and UCSF colleagues reduces reliance on voxel-wise tumor masks by training CT segmentation models directly from radiology and pathology reports 📝: https://aapm.confex.com/aapm/2026am/meetingapp.cgi/Paper/26305

Pedro R. A. S. Bassi, Wenxuan Li, Alan Yuille, Zongwei Zhou, and Yucheng Tang establish a large-scale, independent benchmark for evaluating auto-contouring AI in “Benchmarking Auto-Contouring AI for Radiotherapy: Robustness, Calibration, and Failure Modes”: https://aapm.confex.com/aapm/2026am/meetingapp.cgi/Paper/27362

and in “Cancerverse: Multicenter CT Segmentation of 16 Cancers for Radiotherapy Targets and OARs,” Zongwei Zhou, Wenxuan Li, and Alan Yuille provide a large, multicenter, longitudinal CT dataset with voxel-wise tumor annotations across multiple cancer sites: https://aapm.confex.com/aapm/2026am/meetingapp.cgi/Paper/27460

Last month, Michael Oberst, Chien-Ming Huang, and other CS faculty members shared their progress and concerns at the first in-person convening of the Johns Hopkins University Workgroup on AI and Healthcare. 💻 🩺

Learn more about their lightning talks ⚡️ here: https://www.cs.jhu.edu/news/hopkins-researchers-share-progress-and-concerns-about-ai-in-healthcare/