DMDD: A Large-Scale Dataset for Dataset Mentions Detection

no code implementations • 19 May 2023 • Huitong Pan, Qi Zhang, Eduard Dragut, Cornelia Caragea, Longin Jan Latecki

We use DMDD to establish baseline performance for dataset mention detection and linking.

Prostate Segmentation from 3D MRI Using a Two-Stage Model and Variable-Input Based Uncertainty Measure

no code implementations • 6 Mar 2019 • Huitong Pan, Yushan Feng, Quan Chen, Craig Meyer, Xue Feng

Using PROMISE-12 data, we demonstrated the robustness of the two-stage model and showed high correlation of the proposed variable-input based uncertainty measures with GT-based performance.

Data Augmentation Segmentation

A Self-Adaptive Network For Multiple Sclerosis Lesion Segmentation From Multi-Contrast MRI With Various Imaging Protocols

no code implementations • 19 Nov 2018 • Yushan Feng, Huitong Pan, Craig Meyer, Xue Feng

Furthermore, we showed our network achieved the maximal possible performance when one sequence is unavailable during deployment by comparing with separate networks trained on the corresponding input MRI sequences.

Lesion Segmentation Segmentation