Research Presentation Session: Imaging Informatics / Artificial Intelligence and Machine Learning

RPS 1805a - Artificial intelligence (AI) in abdominal imaging

Lectures

1
RPS 1805a-1 - Introduction by the moderator

RPS 1805a-1 - Introduction by the moderator

01:33Andrea G. Rockall, Marc Zins.mp4

2
RPS 1805a-2 - Artificial intelligence-based VS standard acquisition in upper abdomen MRI- quantitative and qualitative image analysis

RPS 1805a-2 - Artificial intelligence-based VS standard acquisition in upper abdomen MRI- quantitative and qualitative image analysis

07:50Benedetta Masci.mp4

3
RPS 1805a-3 - Deep learning training with prior and current CECT scans improves liver lesions detection and segmentation

RPS 1805a-3 - Deep learning training with prior and current CECT scans improves liver lesions detection and segmentation

08:38Jacob Sosna.mp4

4
RPS 1805a-4 - Limited impact of scanner variability on CT radiomic features in predicting outcome for pancreatic cancer patients

RPS 1805a-4 - Limited impact of scanner variability on CT radiomic features in predicting outcome for pancreatic cancer patients

07:01Martina Mori.mp4

5
RPS 1805a-5 - Pre-treatment computed tomography radiomics for predicting the response to neoadjuvant chemoradiation in locally advanced rectal cancer

RPS 1805a-5 - Pre-treatment computed tomography radiomics for predicting the response to neoadjuvant chemoradiation in locally advanced rectal cancer

08:44Xiaoping Yi.mp4

6
RPS 1805a-6 - Deep-learning-based differentiation of benign and premalignant colorectal polyps in CT colonography

RPS 1805a-6 - Deep-learning-based differentiation of benign and premalignant colorectal polyps in CT colonography

09:31Sergio Grosu.mp4

7
RPS 1805a-7 - Automatic detection and measurement of renal cysts for abdominal ultrasound examination- deep learning approach

RPS 1805a-7 - Automatic detection and measurement of renal cysts for abdominal ultrasound examination- deep learning approach

09:02Yurie Kanauchi.mp4