The length of your blogpost should be 1000-2000 words excluding references.
The deadline for submission is two weeks after your presentation.
- An example Blogpost
- Cardiac Phase Detection in Echocardiograms with Densely Gated Recurrent Neural Networks and Global Extrema Loss
- Fully Convolutional Architectures for Multiclass Segmentation in Chest Radiographs
- Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images
- Self-supervised learning for medical image analysis using image context restoration
- FickleNet Weakly and Semi Supervised Semantic Image Segmentation Using Stochastic Inference
- Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow
- Visual Explanation by Interpretation: Improving Visual Feedback Capabilities of Deep Neural Networks
- Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)
- Disentangled representation learning in cardiac image analysis
- This Looks Like That: Deep Learning for Interpretable Image Recognition
- Are Disentangled Representations Helpful for Abstract Visual Reasoning?
- Unsupervised domain adaptation for medical imaging segmentation with self-ensembling
- Transfusion: Understanding Transfer Learning for Medical Imaging
- Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning
- Automatic Multi-Organ Segmentation on Abdominal CT with Dense V-Networks
- Exploiting Edge Features in Graph Neural Networks
- Prediction of Disease Progression in Multiple Sclerosis Patients using Deep Learning Analysis of MRI Data
- Predicting Alzheimer’s disease progression using multi-modal deep learning approach