Barcelona Fellowship
·
9 CME Credits
·
Level II
Practical Deep Learning for Radiologists Fellowship
In this AI in radiology course, you will acquire knowledge about how a convolutional neural network works, being able to experiment in real time with the main parameters that influence its training. We will also cover the main limitations of Deep Learning in the field of medical imaging and discuss basic notions and resources to start experimenting with Deep Learning algorithms in daily practice.
€1000
(tax included) Card or bank transfer payments
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This training is accredited by EACCME with 9 CME credits Monday - September 4, 2023
Timezone
| Time | Activity | Type | Mentor |
|---|---|---|---|
| 13:30 - 13:40 (GMT+2) | Introduction to the course | Introduction | |
| 13:40 - 13:55 (GMT+2) | AI for radiology – The basics | Lecture | Daniel Eiroa |
| 13:55 - 14:40 (GMT+2) | Preprocessing: Data gathering, wrangling and manipulation | Lecture | Daniel Eiroa |
| 14:40 - 15:25 (GMT+2) | Practical exercise | Case demo | |
| 15:25 - 15:40 (GMT+2) | Break | Break | |
| 15:40 - 16:10 (GMT+2) | Introduction to Convolutional Neural Networks | Lecture | Daniel Eiroa |
| 16:10 - 16:40 (GMT+2) | Practical exercise | Case demo | |
| 16:40 - 17:00 (GMT+2) | Ethical and professional issues | Lecture | Daniel Eiroa |
| 17:00 - 17:20 (GMT+2) | Discussion | ||
| 17:20 - 17:30 (GMT+2) | Q&A |
Tuesday - September 5, 2023
| Time | Activity | Type | Mentor |
|---|---|---|---|
| 13:30 - 14:10 (GMT+2) | CNNs Deep Dive | Lecture | Daniel Eiroa |
| 14:10 - 14:50 (GMT+2) | Practical exercise | Case demo | |
| 14:50 - 15:20 (GMT+2) | Discussion | ||
| 15:20 - 15:40 (GMT+2) | Break | Break | |
| 15:40 - 16:10 (GMT+2) | DL in your Department: What do you need? | Lecture | Daniel Eiroa |
| 16:10 - 16:30 (GMT+2) | Q&A | ||
| 16:30 - 16:40 (GMT+2) | Break | Break | |
| 16:40 - 17:10 (GMT+2) | DL in your Department: How do you do? | Lecture | Daniel Eiroa |
| 17:10 - 17:30 (GMT+2) | Q&A |
Wednesday - September 6, 2023
| Time | Activity | Type | Mentor |
|---|---|---|---|
| 13:30 - 14:10 (GMT+2) | Model evaluation | Lecture | Daniel Eiroa |
| 14:10 - 14:50 (GMT+2) | Practical exercise | Case demo | |
| 14:50 - 15:20 (GMT+2) | Discussion | ||
| 15:20 - 15:30 (GMT+2) | Break | Break | |
| 15:30 - 16:00 (GMT+2) | Critical assessment of Medical ML research | Lecture | Daniel Eiroa |
| 16:00 - 16:40 (GMT+2) | Practical exercise | Case demo | |
| 16:40 - 17:10 (GMT+2) | Discussion | ||
| 17:10 - 17:20 (GMT+2) | Q&A | ||
| 17:20 - 17:30 (GMT+2) | Closing remarks |
