Fall 2026

Computational Methods for Medical Image Analysis

BMI/COMPSCI 767 covers advanced computational methods for medical image analysis, including segmentation, registration, and machine learning.

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Recorded instructors · Fall 2026 No instructors listed

Summary

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Recent recorded grades — Spring 2013: 3.90 GPA, 100.0% A/AB (n=5 letter grades); Fall 2016: 3.77 GPA, 86.7% A/AB (n=15 letter grades); Spring 2026: 3.64 GPA, 81.8% A/AB (n=11 letter grades).

Grade history

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average GPA
letter grades
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AB
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Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
BMI/COMPSCI 767

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Prerequisite text tree
  • Graduate/professional standing

Professors

Fall 2026

No instructors recorded for this selection.

Historical instructors & teaching patterns

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Calendar & sections

Fall 2026

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Student experience

the class

Recent recorded grades — Spring 2013: 3.90 GPA, 100.0% A/AB (n=5 letter grades); Fall 2016: 3.77 GPA, 86.7% A/AB (n=15 letter grades); Spring 2026: 3.64 GPA, 81.8% A/AB (n=11 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Medical image analysis techniques
  • Segmentation and registration methods
  • Statistical and machine learning methods

Skills

  • Advanced segmentation and registration methods
  • Use and extension of statistical and machine learning methods

Grades

Latest available · Spring 2026— not enough history to project Fall 2026.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Spring 2026

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Sources & history

UW–Madison

Catalog & offerings

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Grade history

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Dataset & model

Recorded 2026-09-07

View the dataset on Hugging Face
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "e5433943cebb6bdaa3fce991e82926fb818e2c8d89c2907ba3523649109f494b",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}