Get started
Author

Bangwei Guo

Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E‐stained images: achieving state‐of‐the‐art predictive performance with fewer data using Swin Transformer
2023 · Bangwei Guo, Xingyu Li, et al. · The Journal of Pathology Clinical Research · 43
A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations
2023 · Bangwei Guo, Xingyu Li, et al. · Computerized Medical Imaging and Graphics · 13
PDF
A Novel and Efficient Digital Pathology Classifier for Predicting Cancer Biomarkers Using Sequencer Architecture
2023 · Min Cen, Xingyu Li, et al. · American Journal Of Pathology · 11
PDF
Prognostic Significance of Tumor-Infiltrating Lymphocytes Determined Using LinkNet on Colorectal Cancer Pathology Images
2023 · Anran Liu, Xingyu Li, et al. · JCO Precision Oncology · 11
PDF
All Circuits Lead to Rome: Rethinking Functional Anisotropy in Circuit and Sheaf Discovery for LLMs
2026 · Chen, Xi, Jin, Mingyu, et al. · arXiv (Cornell University) · 7
PDF
Evidence Over Plans: Online Trajectory Verification for Skill Distillation
2026 · Zhou, Yang, Dong, Zihan, et al. · arXiv (Cornell University) · 3
PDF
Image-Based Subtype Classification for Glioblastoma Using Deep Learning: Prognostic Significance and Biologic Relevance
2024 · Min Yuan, Haolun Ding, et al. · JCO Clinical Cancer Informatics · 3
Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines
2023 · Cen, Min, Li, Xingyu, et al. · arXiv (Cornell University) · 3
PDF
TopoAgent: A Structure-Aware Perception-to-Reasoning Framework for Diagram-to-Graph Topology Extraction with Large Vision-Language Models
2026 · Guo, Bangwei, Zhao, Xujiang, et al. · arXiv (Cornell University) · 1
PDF
LUCID-SAE: Learning Unified Vision-Language Sparse Codes for Interpretable Concept Discovery
2026 · Gu, Difei, Gao, Yunhe, et al. · arXiv (Cornell University) · 1
PDF
K-Prism: A Knowledge-Guided and Prompt Integrated Universal Medical Image Segmentation Model
2025 · Guo, Bangwei, Gao, Yunhe, et al. · arXiv (Cornell University) · 1
PDF
Learning Volumetric Neural Deformable Models to Recover 3D Regional Heart Wall Motion from Multi-Planar Tagged MRI
2024 · Ye, Meng, Xin, Bingyu, et al. · arXiv (Cornell University) · 1
PDF
RealControlBench: A Benchmark for Interpretability-Informed Fine-Grained Control of LLMs and Agents
2026 · Cai, Xinying, Hu, Bin, et al. · arXiv (Cornell University)
PDF
Agents' Last Doubt: Knowing When to Act and When to Step Back in Tool-Using Agents
2026 · Liu, Qisai, Jiao, Qingyue, et al. · arXiv (Cornell University)
PDF
Knossos and Ariadne: Benchmarking and Learning Complete Diagram Topology Extraction with Vision-Language Models
2026 · Guo, Bangwei, Zhao, Xujiang, et al. · arXiv (Cornell University)
PDF
UniPro: Unified Multi-Mode Medical Image Segmentation from 2D Images to 3D Volumes via Propagation
2026 · Guo, Bangwei, Gao, Yunhe, et al. · arXiv (Cornell University)
PDF
Learning Where to Look: Anatomical Grounding and Guided Attention for Cardiac MRI Vision-Language Models
2026 · Guo, Bangwei, Chen, Xiao, et al. · arXiv (Cornell University)
PDF
Reconstruction of 3D Mandibular Models from 2D Lateral Cephalometric Radiographs Using Deep Learning
2026 · Zhao, Alyssa, Ye, Meng, et al. · IUScholarWorks (Indiana University)
PDF
Reconstruction of 3D Models of the Mandible from 2D Lateral Cephalometric Radiographs by Deep Learning
2026 · Alyssa Zhao, Meng Ye, et al. · Research Square
PDF
VerSe: Integrating Multiple Queries as Prompts for Versatile Cardiac MRI Segmentation
2025 · Bangwei Guo, Meng Ye, et al. · Lecture notes in computer science
PDF
Works count: 20
Citation count: 98
H-index: 5
I10-index: 4
Year
Topic
Type