Computational Mathematics Modeling in Cancer Analysis

Unified Modeling Enhanced Multimodal Learning for Precision Neuro-Oncolo.- A Reference-based Approach for Tumor Size Estimation in Monocular Laparoscopic Videos.- Follicular Lymphoma Grading Based on 3D-DDcGAN and Bayesian CNN using PET-CT Images.- Multi-channel Multi-model Fusion Module (MMFM) based Circulating Abnormal Cells (CACs) Detection for Lung Cancer early Diagnosis with Fluorescence in Situ Hybridization (FISH) Images.- Domain Game: Disentangle Anatomical Feature for Single Domain Generalized Segmentation.- Attention-fusion Model for Multi-Omics (AMMO) Data Integration in Lung Adenocarcinoma.-PD-L1 Expression Prediction using Scalable Multi Instance Transformer.- Improving Single-Source Domain Generalization via Anatomy-Guided Texture Augmentation for Cervical Tumor Segmentation.- PANDA: Pneumonitis ANomaly Detection using Attention U-Net.- Estimating The Average Treatment Effect using Weighting Methods in Lung Cancer Immunotherapy.- Beyond Conventional Parametric Modeling: Data-Driven Framework for Estimation and Prediction of Time Activity Curves in Dynamic PET Imaging.- Assessment of Radiomics Feature Repeatability and Reproducibility and Their Generalizability Across Image Modalities by Perturbation in Nasopharyngeal Carcinoma Patients.