Recent recorded grades — Spring 2024: 3.91 GPA, 100.0% A/AB (n=17 letter grades); Spring 2025: 3.52 GPA, 65.2% A/AB (n=23 letter grades); Spring 2026: 3.92 GPA, 95.8% A/AB (n=24 letter grades).
Biomedical Image Analysis
Hands-on introduction to biomedical image analysis covering medical imaging formats, segmentation, registration, quantification, and classification.
Summary
Recent recorded grades — Spring 2024: 3.91 GPA, 100.0% A/AB (n=17 letter grades); Spring 2025: 3.52 GPA, 65.2% A/AB (n=23 letter grades); Spring 2026: 3.92 GPA, 95.8% A/AB (n=24 letter grades).
What you’ll be able to do
Implement the key principles of ideas from probability, statistics and computer vision algorithms used in medical image analysis
Recognize which image analysis problems will benefit from which modeling approach
Apply algorithms about image analysis tasks and implement algorithms and pipelines using a programming language
Implement the building blocks taught in this course to independently learn and apply new, but related imaging analysis algorithms
Source: UW Guide 1· UW Guide 2
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course map(MATH 320, 340, 341, 345, or 375) and (STAT 511, 541,POP HLTH/B M I 551,MATH 331,MATH/STAT 431, 309,STAT 240, 301, 311, 324, 371, or STAT/F&W ECOL 571, or HORT 571 prior to Spring 2025) or graduate/professional standing
- take one
- STAT 511
- BMI/STAT 541
- BMI/POPHLTH 551
- MATH 331
- MATH/STAT 431
- MATH/STAT 309
- STAT 240
- STAT 301
- STAT 311
- STAT 324
- STAT 371
- F&WECOL/STAT 571
- HORT 571 prior to Spring 2025
- graduate/professional standing
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Any of
- All of
- Any of
- Any of
- STAT 511
- BMI/STAT 541
- BMI/POPHLTH 551
- MATH 331
- MATH/STAT 431
- MATH/STAT 309
- STAT 240
- STAT 301
- STAT 311
- STAT 324
- STAT 371
- F&WECOL/STAT 571
- HORT 571 prior to Spring 2025
- graduate/professional standing
- All of
Professors
Spring 2027Historical instructors & teaching patterns
JUAN CAICEDO is recorded teaching in Spring 2024, Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Spring 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 0 / 30 | 0 |
| LEC 001 | Classroom Instruction | 0 / 30 | 0 |
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
Meeting source records
Student experience
the class
Recent recorded grades — Spring 2024: 3.91 GPA, 100.0% A/AB (n=17 letter grades); Spring 2025: 3.52 GPA, 65.2% A/AB (n=23 letter grades); Spring 2026: 3.92 GPA, 95.8% A/AB (n=24 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- Medical imaging formats, segmentation, registration, image quantification, and classification
- Probability, statistics, and computer vision algorithms for medical image analysis
Skills
- Implementing principles of probability, statistics, and computer vision algorithms
- Selecting appropriate modeling approaches for image analysis problems
- Applying and implementing image analysis algorithms and pipelines in code
- Independently learning and applying new imaging analysis algorithms
Grades
Latest available · Spring 2026— not enough history to project Spring 2027.
Grade distribution · % of letter grades
Grades over time
Through Spring 2026
More grade details Grade mix, volume & source data
Not enough comparable courses for Spring 2027 in UW–Madison.
Sources & history
Catalog & offerings
Descriptions, prerequisites, and recorded course offerings.
Catalog observation history
Observations at scan time; dates do not imply when a catalog change took effect.
Selected offering source records
Biomedical Image Analysis
Recorded 2026-10-14Biomedical Image Analysis
Recorded 2026-10-14Raw records
[
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"offering_id": "1274:210:024286",
"course_id": "BMI/COMPSCI 567",
"course_uid": "course_86eb54f8ad457aac7590daa7",
"term_id": "1274",
"source_course_id": "024286",
"source_subject_id": "210",
"title": "Biomedical Image Analysis",
"credits_min": 3,
"credits_max": 3,
"typically_offered": "Spring"
},
{
"run_id": "20261014T203208-0851c9a1",
"semester": "1274",
"observed_at": "2026-10-14 17:50:09.728220+00:00",
"offering_id": "1274:266:024286",
"course_id": "BMI/COMPSCI 567",
"course_uid": "course_86eb54f8ad457aac7590daa7",
"term_id": "1274",
"source_course_id": "024286",
"source_subject_id": "266",
"title": "Biomedical Image Analysis",
"credits_min": 3,
"credits_max": 3,
"typically_offered": "Spring"
}
]Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
No records available.
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "Qwen/Qwen3.8-27B",
"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "b9704071157f6961ca120af6f4e1200c6b838d80ac149300a405a01f8caa76e0",
"requirements_status": "needs_review",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}