ResearcherShanghai Medical College of Fudan UniversityActive in the last 2 years
Haitao Sun
Matched on ORCID iD 0000-0003-4734-9683; OpenAlex author ID A5091174989, A5103758406. Sources: OpenAlex.
Their work
- Papers
- 7 (first author 0, last author 6)
- Trials
- 0
- Grants
- 0
- Labs led
- 1
- Collaborators
- 13
2025: 2 papers · 2026: 5 papers
Papers 7
- Interpretable fusion deep learning on super-resolution MRI for perineural invasion prediction in pancreatic ductal adenocarcinoma: a multicenter study. Last author DOI 10.1016/j.ejrad.2025.112610↗
- Topological imaging of single-cell CAF heterogeneity for predicting prognosis and adjuvant chemotherapy benefit in pancreatic cancer. Last author DOI 10.1016/j.ejrad.2026.113075↗
- A biologically Interpretable CT radiomic model Predicts tertiary lymphoid structure status and Stratifies outcomes following chemoimmunotherapy in pancreatic d… Last author DOI 10.1016/j.ejrad.2026.113228↗
- C2HFusion: Clinical context-driven hierarchical fusion of multimodal data for personalized and quantitative prognostic assessment in pancreatic cancer. Co-author DOI 10.1016/j.media.2026.103937↗
- Integrative multi-omics and radiogenomic profiling decodes NNK-related tumor remodeling and prognostic stratification in pancreatic cancer. Last author DOI 10.1097/js9.0000000000004732↗
- Contrast-enhanced MRI-based intratumoral heterogeneity assessment for predicting lymph node metastasis in resectable pancreatic ductal adenocarcinoma. Last author DOI 10.1186/s13244-025-01956-0↗
- Correction: Contrast-enhanced MRI-based intratumoral heterogeneity assessment for predicting lymph node metastasis in resectable pancreatic ductal adenocarcino… Last author DOI 10.1186/s13244-025-01973-z↗
Closest collaborators
The 13 strongest of 13 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Zongyu Xie · 5 shared papers, 2025–2026 · strength 1.26
- Paper C2HFusion: Clinical context-driven hierarchical fusion of multimodal data for personalized and quantitative prognostic … DOI 10.1016/j.media.2026.103937↗
- Paper A biologically Interpretable CT radiomic model Predicts tertiary lymphoid structure status and Stratifies outcomes foll… DOI 10.1016/j.ejrad.2026.113228↗
- Paper Integrative multi-omics and radiogenomic profiling decodes NNK-related tumor remodeling and prognostic stratification i… DOI 10.1097/js9.0000000000004732↗
- Junjian Shen · 5 shared papers, 2025–2026 · strength 1.23
- Paper Topological imaging of single-cell CAF heterogeneity for predicting prognosis and adjuvant chemotherapy benefit in panc… DOI 10.1016/j.ejrad.2026.113075↗
- Paper A biologically Interpretable CT radiomic model Predicts tertiary lymphoid structure status and Stratifies outcomes foll… DOI 10.1016/j.ejrad.2026.113228↗
- Paper Integrative multi-omics and radiogenomic profiling decodes NNK-related tumor remodeling and prognostic stratification i… DOI 10.1097/js9.0000000000004732↗
- Qiying Tang · 4 shared papers, 2026 · strength 1.07
- Paper Interpretable fusion deep learning on super-resolution MRI for perineural invasion prediction in pancreatic ductal aden… DOI 10.1016/j.ejrad.2025.112610↗
- Paper Topological imaging of single-cell CAF heterogeneity for predicting prognosis and adjuvant chemotherapy benefit in panc… DOI 10.1016/j.ejrad.2026.113075↗
- Paper A biologically Interpretable CT radiomic model Predicts tertiary lymphoid structure status and Stratifies outcomes foll… DOI 10.1016/j.ejrad.2026.113228↗
- Jianjun Zhou · 4 shared papers, 2025–2026 · strength 0.97
- Paper Topological imaging of single-cell CAF heterogeneity for predicting prognosis and adjuvant chemotherapy benefit in panc… DOI 10.1016/j.ejrad.2026.113075↗
- Paper A biologically Interpretable CT radiomic model Predicts tertiary lymphoid structure status and Stratifies outcomes foll… DOI 10.1016/j.ejrad.2026.113228↗
- Paper Contrast-enhanced MRI-based intratumoral heterogeneity assessment for predicting lymph node metastasis in resectable pa… DOI 10.1186/s13244-025-01956-0↗
- Yaolin Xu · 2 shared papers, 2025 · strength 0.45
- Paper Contrast-enhanced MRI-based intratumoral heterogeneity assessment for predicting lymph node metastasis in resectable pa… DOI 10.1186/s13244-025-01956-0↗
- Paper Correction: Contrast-enhanced MRI-based intratumoral heterogeneity assessment for predicting lymph node metastasis in r… DOI 10.1186/s13244-025-01973-z↗
- Bolun Zeng · 1 shared paper, 2026 · strength 0.29
- Xiaojun Chen · 1 shared paper, 2026 · strength 0.29
- Jianbo Li · 1 shared paper, 2026 · strength 0.28
- Jianjun Zhou · 1 shared paper, 2026 · strength 0.28
- 赵灿灿 · 1 shared paper, 2026 · strength 0.26
- Lingling Wang · 1 shared paper, 2026 · strength 0.26
- J J Li · 1 shared paper, 2026 · strength 0.26
- Lei Li · 1 shared paper, 2025 · strength 0.22
How to reach this person
A chain of introductions through people who have published, run trials or held grants together (warm_path@1: fewest links first, then the strongest). Built from public records only; no contact details are kept.