Manaswitha Thota, MD

Virginia Commonwealth University

Poster(s):

• P4576 - Multi-Modal Deep Learning for Predicting Colorectal Cancer Progression and Treatment Response Using Genomic Data and Capsule Endoscopy Images
  Tuesday, October 28, 2025

  10:30 AM - 4:00 PM MT

• P4779 - Real-Time Colorectal Polyp Detection and Stratification Using Combined Spatial Embeddings and Geometric Analysis
  Tuesday, October 28, 2025

  10:30 AM - 4:00 PM MT

• P4780 - Multimodal Integration of Histopathology and Clinical Data Predicts Survival in Colorectal Adenocarcinoma
  Tuesday, October 28, 2025

  10:30 AM - 4:00 PM MT

• P4781 - Privacy‐Preserving Federated Deep Learning for Robust Multicenter Colorectal Polyp Classification
  Tuesday, October 28, 2025

  10:30 AM - 4:00 PM MT

• P4782 - Optimizing Post-Polypectomy Surveillance: A Multimodal Machine Learning Model for Predicting Colorectal Polyp Recurrence and Tailoring Surveillance Intervals
  Tuesday, October 28, 2025

  10:30 AM - 4:00 PM MT

• P5123 - Video-Based Gastrointestinal Lesion Detection Using Deep Temporal Modeling with 3D CNN
  Tuesday, October 28, 2025

  10:30 AM - 4:00 PM MT

• P5129 - Multimodal Deep Learning for Automated Gastrointestinal Diagnosis Using the HyperKvasir Dataset
  Tuesday, October 28, 2025

  10:30 AM - 4:00 PM MT

• P5864 - Multimodal Machine Learning Integration of Clinical Biomarkers and CT Radiomics for Precise Liver Lesion Classification
  Tuesday, October 28, 2025

  10:30 AM - 4:00 PM MT