2020 Event (Lima, Peru Virtual)
9:00 – 9:10*: Welcome and Introduction
9:10 – 9:45: Spotlight Session
9:45 – 10:30: Keynote I — Anand Malpani
Break
10:45 – 11:45: Oral Session
Break
12:00 – 12:45: Keynote II — Amber Simpson
12:45 – 13:00: Awards and Closing
*All times UTC
Spotlight Session
- Semi-Weakly Supervised Learning for Prostate Cancer Image Classification with Teacher-Student Deep Convolutional Networks [html, pdf]
- EasierPath: An Open-source Tool for Human-in-the-loop Deep Learning of Renal Pathology [html, pdf]
- Labeling of Multilingual Breast MRI Reports [html, pdf]
- Semi-Supervised Learning for Instrument Detection with a Class Imbalanced Dataset [html]
- Encoding in Style: Class-Specific Generation and Translation [pdf]
- Training data preparation with computer vision algorithms for a Mask R-CNN [pdf]
- Curating Subject ID Labels using Keypoint Signatures [pdf]
- Imbalance-Effective Active Learning in Nucleus, Lymphocyte and Plasma Cell Detection [html]
Oral Session
- Risk of training diagnostic algorithms on data with demographic bias [html, pdf]
- Are pathologist-defined labels reproducible? Comparison of the TUPAC16 mitotic figure dataset with an alternative set of labels [html, pdf]
- Predicting Scores of Medical Imaging Segmentation Methods with Meta-Learning [html, pdf]
- Labelling imaging datasets on the basis of neuroradiology reports: a validation study [html, pdf]
- Paying Per-label Attention for Multi-label Extraction from Radiology Reports [html, pdf]
Previous Events
2019 Program (Shenzhen, China)