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05/17/2023
Self-Supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET
Dynamic positron emission tomography imaging (dPET) provides temporally ...
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02/06/2023
Investigating Pulse-Echo Sound Speed Estimation in Breast Ultrasound with Deep Learning
Ultrasound is an adjunct tool to mammography that can quickly and safely...
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03/21/2022
Longitudinal Self-Supervision for COVID-19 Pathology Quantification
Quantifying COVID-19 infection over time is an important task to manage ...
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03/17/2022
Surgical Workflow Recognition: from Analysis of Challenges to Architectural Study
Algorithmic surgical workflow recognition is an ongoing research field a...
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10/03/2021
Interactive Segmentation for COVID-19 Infection Quantification on Longitudinal CT scans
Consistent segmentation of COVID-19 patient's CT scans across multiple t...
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07/29/2021
U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome Prediction
During the first wave of COVID-19, hospitals were overwhelmed with the h...
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07/06/2021
Confidence-based Out-of-Distribution Detection: A Comparative Study and Analysis
Image classification models deployed in the real world may receive input...
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05/05/2021
Rethinking Ultrasound Augmentation: A Physics-Inspired Approach
Medical Ultrasound (US), despite its wide use, is characterized by artif...
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03/12/2021
Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs
Chest computed tomography (CT) has played an essential diagnostic role i...
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03/05/2021
OperA: Attention-Regularized Transformers for Surgical Phase Recognition
In this paper we introduce OperA, a transformer-based model that accurat...
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03/30/2020
Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning
In this paper we introduce the first reinforcement learning (RL) based r...
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11/18/2019
Radar Emitter Classification with Attribute-specific Recurrent Neural Networks
Radar pulse streams exhibit increasingly complex temporal patterns and c...
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11/18/2019
Signal Clustering with Class-independent Segmentation
Radar signals have been dramatically increasing in complexity, limiting ...
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04/09/2019
End-to-End Learning-Based Ultrasound Reconstruction
Ultrasound imaging is caught between the quest for the highest image qua...
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04/05/2019
Deep Learning Under the Microscope: Improving the Interpretability of Medical Imaging Neural Networks
In this paper, we propose a novel interpretation method tailored to hist...
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04/05/2019
3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation
Model architectures have been dramatically increasing in size, improving...
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01/14/2019
Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness
In this paper we propose a novel augmentation technique that improves no...
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03/23/2018
Generalizability vs. Robustness: Adversarial Examples for Medical Imaging
In this paper, for the first time, we propose an evaluation method for d...
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03/16/2017