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Mu-Han Lin

17 papers hereh-index 191.5k citations88 works total

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

author position
  • middle author15
  • last author1

Across the 16 of 17 papers where every author was matched, so the position is known.

fields
  • physics.med-ph9
  • eess.IV4
  • cs.CV3
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedThree-Dimensional Radiotherapy Dose Prediction on Head and Neck Cancer Patients with a Hierarchically Densely Connected U-net Deep Learning Architecture

325 citations · 506 across the 17 of their papers we have counts for

collaborators
Showing 2022Show all

3 papers · 1 filter

cs.CV2022★ 1 cited

Prior Guided Deep Difference Meta-Learner for Fast Adaptation to Stylized Segmentation

Anjali Balagopal, Dan Nguyen, Ti Bai +3

When a pre-trained general auto-segmentation model is deployed at a new institution, a support framework in the proposed Prior-guided DDL network will learn the systematic differen…

eess.IV2022★ 4 cited

Performance Deterioration of Deep Learning Models after Clinical Deployment: A Case Study with Auto-segmentation for Definitive Prostate Cancer Radiotherapy

Biling Wang, Michael Dohopolski, Ti Bai +10

We evaluated the temporal performance of a deep learning (DL) based artificial intelligence (AI) model for auto segmentation in prostate radiotherapy, seeking to correlate its effi…

eess.IV2022

Region Specific Optimization (RSO)-based Deep Interactive Registration

Ti Bai, Muhan Lin, Xiao Liang +5

Medical image registration is a fundamental and vital task which will affect the efficacy of many downstream clinical tasks. Deep learning (DL)-based deformable image registration…

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