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03/01/2023
Can representation learning for multimodal image registration be improved by supervision of intermediate layers?
Multimodal imaging and correlative analysis typically require image alig...
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03/08/2022
End-to-end Multiple Instance Learning with Gradient Accumulation
Being able to learn on weakly labeled data, and provide interpretability...
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02/03/2022
Oral cancer detection and interpretation: Deep multiple instance learning versus conventional deep single instance learning
The current medical standard for setting an oral cancer (OC) diagnosis i...
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01/10/2022
Cross-Modality Sub-Image Retrieval using Contrastive Multimodal Image Representations
In tissue characterization and cancer diagnostics, multimodal imaging ha...
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10/19/2021
Cross-Sim-NGF: FFT-Based Global Rigid Multimodal Alignment of Image Volumes using Normalized Gradient Fields
Multimodal image alignment involves finding spatial correspondences betw...
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06/28/2021
Fast computation of mutual information in the frequency domain with applications to global multimodal image alignment
Multimodal image alignment is the process of finding spatial corresponde...
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03/30/2021
Is Image-to-Image Translation the Panacea for Multimodal Image Registration? A Comparative Study
Despite current advancement in the field of biomedical image processing,...
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12/14/2020
INSPIRE: Intensity and Spatial Information-Based Deformable Image Registration
We present INSPIRE, a top-performing general-purpose method for deformab...
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06/11/2020
CoMIR: Contrastive Multimodal Image Representation for Registration
We propose contrastive coding to learn shared, dense image representatio...
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10/23/2019
A Deep Learning based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images
Oral cancer incidence is rapidly increasing worldwide. The most importan...
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10/18/2018
Stochastic Distance Transform
The distance transform (DT) and its many variations are ubiquitous tools...
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08/15/2018
Ensemble of Convolutional Neural Networks for Dermoscopic Images Classification
In this report, we are presenting our automated prediction system for di...
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07/30/2018