Tsinghua University

Artificial Intelligence in Healthcare & Medical Imaging

Course homepage • syllabus, schedule, assignments, and resources

Download Syllabus (PDF) Join Class Slack/Discord Office Hours

Quick Facts

Instructor

Professor Joe Xing (contact@joexing.me)

Time & Location

TBD

Office Hours

Wed 10:00–11:00 (by appointment)

Prerequisites

Introduction to Programming (Python preferred) Linear Algebra & Probability/Statistics Introduction to Machine Learning / Data Science (recommended, not mandatory)

Announcements

Sept 30

HW1 released: DICOM preprocessing starter posted. Due Oct 7.

Sept 25

Slides: Lecture 2 (CNNs for Medical Imaging) available in Resources.

Syllabus & Schedule at a Glance

Week	Topic	Teaching Elements	Readings
W1	Course Introduction; AI and the Healthcare Landscape
W2	Data & Compliance in Healthcare: DICOM, PACS, Annotation, and Privacy
W3	Fundamentals of Machine Learning and Evaluation Metrics (accuracy, ROC, AUC, calibration)
W4	Deep Learning Basics: CNNs and Transfer Learning, Quiz 1
W5	Segmentation Models: U-Net and Variants

Assignments & Projects

Due Oct 7, 23:59

HW1 — DICOM Preprocessing

Convert & normalize scans; dataset splits; 1-page report.

Starter notebook • Submission portal

Due Oct 21, 23:59

HW2 — Classification Baseline

Train a CNN baseline; ablations; short write-up.

Repo • Rubric

Milestone Nov 4

Project — Clinical Task

Team project with dataset selection & validation plan.

Project brief

Resources

Contact & Policies

Email: contact@joexing.me • Response within 48 hrs

Accessibility & accommodations honored. Academic integrity required; cite all sources.