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09/20/2023
CalibFPA: A Focal Plane Array Imaging System based on Online Deep-Learning Calibration
Compressive focal plane arrays (FPA) enable cost-effective high-resoluti...
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07/18/2023
DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRI
Deep learning analyses have offered sensitivity leaps in detection of co...
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09/01/2022
Unsupervised Simplification of Legal Texts
The processing of legal texts has been developing as an emerging field i...
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07/19/2022
COVID-19 Detection from Respiratory Sounds with Hierarchical Spectrogram Transformers
Monitoring of prevalent airborne diseases such as COVID-19 characteristi...
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07/17/2022
Unsupervised Medical Image Translation with Adversarial Diffusion Models
Imputation of missing images via source-to-target modality translation c...
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07/13/2022
One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis
Learning-based MRI translation involves a synthesis model that maps a so...
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05/23/2022
BolT: Fused Window Transformers for fMRI Time Series Analysis
Functional magnetic resonance imaging (fMRI) enables examination of inte...
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04/03/2022
Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
Melanoma is a fatal skin cancer that is curable and has dramatically inc...
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02/08/2022
Federated Learning of Generative Image Priors for MRI Reconstruction
Multi-institutional efforts can facilitate training of deep MRI reconstr...
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06/30/2021
ResViT: Residual vision transformers for multi-modal medical image synthesis
Multi-modal imaging is a key healthcare technology in the diagnosis and ...
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05/15/2021
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers
Supervised deep learning has swiftly become a workhorse for accelerated ...
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03/13/2021
A Few-Shot Learning Approach for Accelerated MRI via Fusion of Data-Driven and Subject-Driven Priors
Deep neural networks (DNNs) have recently found emerging use in accelera...
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11/29/2020
Semi-Supervised Learning of Mutually Accelerated Multi-Contrast MRI Synthesis without Fully-Sampled Ground-Truths
This study proposes a novel semi-supervised learning framework for mutua...
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11/27/2020
Progressively Volumetrized Deep Generative Models for Data-Efficient Contextual Learning of MR Image Recovery
Magnetic resonance imaging (MRI) offers the flexibility to image a given...
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09/25/2019
mustGAN: Multi-Stream Generative Adversarial Networks for MR Image Synthesis
Multi-contrast MRI protocols increase the level of morphological informa...
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02/01/2019
Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI
Slow acquisition has been one of the historical problems in dynamic magn...
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05/27/2018
Synergistic Reconstruction and Synthesis via Generative Adversarial Networks for Accelerated Multi-Contrast MRI
Multi-contrast MRI acquisitions of an anatomy enrich the magnitude of in...
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05/03/2018
Learning-Based Compressive MRI
In the area of magnetic resonance imaging (MRI), an extensive range of n...
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02/05/2018
Image Synthesis in Multi-Contrast MRI with Conditional Generative Adversarial Networks
Acquiring images of the same anatomy with multiple different contrasts i...
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11/01/2017
Semantic Structure and Interpretability of Word Embeddings
Dense word embeddings, which encode semantic meanings of words to low di...
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10/07/2017