Sunday, October 17th, 09:20 AM - 18:00 PM (Eastern Time)
Sunday, October 17th, 09:20 AM - 18:00 PM (Eastern Time)
09:20 - 09:30 Welcoming remarks and introduction
09:30 - 10:10 Invited talk #1 - Yizhou Yu (Title: How Should Machines Analyze Medical Images to Aid Diagnosis?) [Video]
10:10 - 10:50 Invited talk #2 - Lena Maier-Hein (Title: Statistics Meets Machine Learning in Biomedical Image Analysis) [Video]
10:50 - 11:00 coffee break
11:00 - 11:40 Invited talk #3 - Russell Taylor (Title: Autonomy and Semi-Autonomous Behavior in Surgical Robot Systems) [Video]
11:40 - 12:30 Oral # 1
12:30 - 13:30 Posters I and lunch break
13:30 - 14:10 Invited talk #4 - Demetri Terzopoulos
14:10 - 14:50 Invited talk #5 - Matthew Lungren (Title: Clinical Machine Intelligence: The Cognitive Work of Radiology) [Video]
14:50 - 15:40 Oral # 2
15:40 - 16:40 Posters II and coffee break
16:40 - 17:20 Invited talk #6 - Lei Xing (Title: Advances in AI for Medical Physics: The Stanford Experience) [Video]
17:20 - 18:00 Invited talk #7 - Alan Yuille (Title: Detecting Pancreatic Tumors) [Video]
18:00 Closing remarks
Paper list for Oral #1:
A Dual Adversarial Calibration Framework for Automatic Fetal Brain Biometry [Video]
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Enhancement [Video]
Deep Frequency Re-calibration U-Net for Medical Image Segmentation [Video]
Multi-scanner Harmonization of Paired Neuroimaging Data via Structure Preserving Embedding Learning [Video]
SOoD: Self-Supervised Out-of-Distribution Detection Under Domain Shift for Multi-Class Colorectal Cancer Tissue Types [Video]
Paper list for Posters I:
VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers [Poster]
A Dual Adversarial Calibration Framework for Automatic Fetal Brain Biometry [Poster]
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Enhancement [Poster]
Improving Tuberculosis (TB) Prediction using Synthetically Generated Computed Tomography (CT) Images [Poster] [Video]
Deep Frequency Re-calibration U-Net for Medical Image Segmentation [Poster]
Multi-scanner Harmonization of Paired Neuroimaging Data via Structure Preserving Embedding Learning [Poster]
End-to-End Learning of Fused Image and Non-Image Features for Improved Breast Cancer Classification from MRI [Poster]
Is it Time to Replace CNNs with Transformers for Medical Images? (Short paper) [Poster] [Paper]
Graph Cuts Loss to Boost Model Accuracy and Generalizability for Medical Image Segmentation [Poster] [Video]
Eformer: Edge Enhancement based Transformer for Medical Image Denoising (Short paper) [Poster] [Paper]
Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest Radiographs Using Deep Convolutional Neural Networks [Poster]
SOoD: Self-Supervised Out-of-Distribution Detection Under Domain Shift for Multi-Class Colorectal Cancer Tissue Types [Poster]
Paper list for Oral #2:
BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis [Video]
Medical Image Classification Using Generalized Zero Shot Learning [Video]
DMNet: Dual-Stream Marker Guided Deep Network for Dense Cell Segmentation and Lineage Tracking (Best Paper Award) [Video]
Unsupervised 3D Shape Coverage Estimation with Applications to Colonoscopy (Best Paper Award) [Video]
Generalizing Few-Shot Classification of Whole-Genome Doubling Across Cancer Types [Video]
Paper list for Posters II
DICOM Imaging Router: An Open Deep Learning Framework for Classification of Body Parts from DICOM X-ray Scans (Short paper) [Poster] [Paper]
BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis [Poster]
Medical Image Classification Using Generalized Zero Shot Learning [Poster]
EfficientARL: improving skin cancer diagnoses by combining lightweight attention on EfficientNet [Poster]
DMNet: Dual-Stream Marker Guided Deep Network for Dense Cell Segmentation and Lineage Tracking [Poster]
Unsupervised 3D Shape Coverage Estimation with Applications to Colonoscopy [Poster]
Generalizing Few-Shot Classification of Whole-Genome Doubling Across Cancer Types [Poster]
Style Transfer based Coronary Artery Segmentation in X-ray Angiogram [Poster] [Video]
Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors [Poster] [Video]
MedSkip: Medical Report Generation Using Skip Connections and Integrated Attention [Poster]
Studying the Effects of Self-Attention for Medical Image Analysis [Poster] [Video]