Lectures
Course Logistics
Location:
Hörsaal S481, Chemie, Biochemie und Pharmazie (DCBP)
Address:
Freiestrasse 3, 3012 Bern
Time:
13:15–15:00 (1 hour 45 minutes per lecture)
Lecture materials including slides, notes, and code examples will be posted here.
Course Overview & Python for Image Analysis
(Instructor: Amith Kamath)Wednesday, February 18
Digital Image Formation & Representation
(Instructor: Amith Kamath)Wednesday, February 25
Sampling, Quantization, Resolution
(Instructor: Dr. Hugo Guillen Ramirez)Wednesday, March 4
Point Operations & Filtering
(Instructor: Dr. Hugo Guillen Ramirez)Wednesday, March 11
Edge Detection & Morphological Operations
(Instructor: Dr. Hugo Guillen Ramirez)Wednesday, March 18
Image Segmentation
(Instructor: Prof. Dr. Mauricio Reyes)Wednesday, March 25
Mid-term Exam (covers lectures 1–6)
Wednesday, April 1
Easter Holiday — No Lecture
Wednesday, April 8
Feature Extraction
(Instructor: Prof. Dr. Mauricio Reyes)Wednesday, April 15
Image Registration & 2D vs. 3D Analysis
(Instructor: Prof. Dr. Mauricio Reyes)Wednesday, April 22
Introduction to Deep Learning for Image Analysis
(Instructor: Dr. Pablo Marquez Neila)Wednesday, April 29
Generative Models & Advanced Architectures
(Instructor: Dr. Pablo Marquez Neila)Wednesday, May 6
Best Practices, Reproducibility & Medical Applications
(Instructor: Amith Kamath)Wednesday, May 13
Flash Presentations of Demos — Part 1 (Individual Student Demos, 5 min each)
(Instructor: Amith Kamath)Wednesday, May 20
Flash Presentations of Demos — Part 2 (Individual Student Demos, 5 min each)
(Instructor: Amith Kamath)Wednesday, May 27