Eleven posters at the 17th annual Lewis Landsberg Research Day
Lab members will present eleven posters at Northwestern University’s annual Lewis Landsberg Research Day.
The annual Research Day at Northwestern is a campuswide event to promote faculty and trainee development by sharing exciting research and conversations with colleagues. This year we have 11 posters to present:
- GazeSAM: What You See is What You Segment
- Deep Learning Algorithm for Accurate and Real-time Liver Segmentation
- Visual Explanations for Radiology AI Applications with Information Bottleneck
- Ensemble learning with Residual Transformer for Brian Tumor Segmentation
- Monkeypox Diagnosis With Interpretable Deep Learning
- A Fully Automatic AI System for Pancreas Segmentation from
Multicenter MRI Scans - AI-Based Pancreatic Cancer Risk Classification in IPMN Patients
- Fast Forward Forward: Analytic Training for Deep Neural Networks
- Computer-Aided Automatic Measurement of Pancreatic Cysts
- Cognitive Perspectives on Complexity of Diagnostic Search and Its Analogy in Artificial Intelligence
- Pancreatic Cancer: Decoding Risks with Duct Diameter, Cyst Size, and Abdominal Circumference
