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04/12/2021
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization
Training deep networks with limited labeled data while achieving a stron...
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09/06/2020
Unsupervised Wasserstein Distance Guided Domain Adaptation for 3D Multi-Domain Liver Segmentation
Deep neural networks have shown exceptional learning capability and gene...
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07/25/2020
Robust and Generalizable Visual Representation Learning via Random Convolutions
While successful for various computer vision tasks, deep neural networks...
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12/01/2019
Hepatocellular Carcinoma Intra-arterial Treatment Response Prediction for Improved Therapeutic Decision-Making
This work proposes a pipeline to predict treatment response to intra-art...
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09/30/2019
Decision Explanation and Feature Importance for Invertible Networks
Deep neural networks are vulnerable to adversarial attacks and hard to i...
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08/27/2019
Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation
Domain Adaptation (DA) has the potential to greatly help the generalizat...
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07/31/2019
Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation
A deep learning model trained on some labeled data from a certain source...
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05/21/2019
Look Again at the Syntax: Relational Graph Convolutional Network for Gendered Ambiguous Pronoun Resolution
Gender bias has been found in existing coreference resolvers. In order t...
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11/27/2018
ShelfNet for Real-time Semantic Segmentation
In this project, we present ShelfNet, a lightweight convolutional neural...
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11/05/2018