Daniel Pimentel-Alarcón
papers & code
talks
teaching
students
research
hobbies
Fall 2020:
CS 760
Machine Learning
Spring 2020:
BMI/CS 567
Med Im An
Spring 2019:
CS 6780
Fund Data Sci
Fall 2018:
CS 4850
Intro Mach Learn
Spring 2018:
CS 6980
Intro Data Sci
Fall 2017:
CS 8850
ML Theory
Lectures:
Tuesday, Thursday 2:30-3:45pm, 2321 Engineering Hall.
Office Hours:
Wednesday 2:30-3:30pm or by appointment.
Syllabus
   
Course Survey Instructions
   
Textbook
Applied Medical Image Processing: A Basic Course, by Wolfgang Birkfellner, Second Edition.
Lecture Materials
Polls (pollev.com/danielpiment511)
week1_matlab_basics.m
week2_stats_review.m
dat.mat
week3_scaling.m
spine.jpg
week5_filtering.m
week5_thresholding.m
epith.mat
epith_ig.mat
week6_fourier.m
week8_morphology.m
pacman.png
lung.jpg
Post-COVID19
Week 9: Landmark Image Registration
Week 9: Segmentation Evaluation
Week 10: Wavelets
Week 11: Neural Networks
Week 12: Cross-Validation
Week 13: Support Vector Machines
Week 14: Logistic Regression
Anonymous Feedback
Homework
Homework 1: Basic Image Manipulation
brain.jpg
Homework 2: Hough Transform
leg_before.jpg
leg_after.jpg
Homework 3: Fourier, Sobel, Transformations, and Registration
liver.jpeg
Homework 4: Morphology Segmentation
metastatic.jpg
ground_truth.png
Project
Project Description (due 03/10)
Report_Template.tex
   
Figure_Example.pdf
   
© Daniel Pimentel-Alarcón