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Kai Wang

University of Maryland Medical Center

4 papers hereh-index 13332 citations32 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG1
affiliations
  • University of Maryland Medical Center
Homepage
same name
  • Kai Wang — 28 papers
  • Kai Wang — 23 papers, h 9
  • Kai Wang — 20 papers, h 5
  • Kai Wang — 15 papers, h 24
  • Kai Wang — 15 papers, h 34
  • Kai Wang — 12 papers, h 14

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedRecurrence-free Survival Prediction under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck Cancers

3 citations · 3 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2026

HERMES: A Hybrid Ensemble for Head-and-Neck Tumor Segmentation, TN Staging, and Recurrence-Free Survival on PET/CT

Kai Wang, Meixu Chen, Elie Nasr +2

We present HERMES (Hybrid Ensemble for Radiotherapy-target segmentation, Malignancy staging, and Event-free Survival), a single containerized algorithm for the three HECKTOR 2026 s…

cs.CV2024

A multimodal ensemble approach for clear cell renal cell carcinoma treatment outcome prediction

Meixu Chen, Kai Wang, Payal Kapur +3

Purpose: A reliable cancer prognosis model for clear cell renal cell carcinoma (ccRCC) can enhance personalized treatment. We developed a multi-modal ensemble model (MMEM) that int…

cs.CV2022★ 3 cited

Recurrence-free Survival Prediction under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck Cancers

Kai Wang, Yunxiang Li, Michael Dohopolski +4

For Head and Neck Cancers (HNC) patient management, automatic gross tumor volume (GTV) segmentation and accurate pre-treatment cancer recurrence prediction are of great importance…

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