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08/25/2022
A Compacted Structure for Cross-domain learning on Monocular Depth and Flow Estimation
Accurate motion and depth recovery is important for many robot vision ta...
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10/17/2021
A deep learning pipeline for localization, differentiation, and uncertainty estimation of liver lesions using multi-phasic and multi-sequence MRI
Objectives: to propose a fully-automatic computer-aided diagnosis (CAD) ...
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04/29/2021
Scalable Semi-supervised Landmark Localization for X-ray Images using Few-shot Deep Adaptive Graph
Landmark localization plays an important role in medical image analysis....
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03/24/2021
Hetero-Modal Learning and Expansive Consistency Constraints for Semi-Supervised Detection from Multi-Sequence Data
Lesion detection serves a critical role in early diagnosis and has been ...
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12/30/2020
Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays
Exploiting available medical records to train high performance computer-...
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12/15/2020
Amata: An Annealing Mechanism for Adversarial Training Acceleration
Despite the empirical success in various domains, it has been revealed t...
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12/13/2020
Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach
Using radiological scans to identify liver tumors is crucial for proper ...
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12/04/2020
Batch Group Normalization
Deep Convolutional Neural Networks (DCNNs) are hard and time-consuming t...
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11/08/2020
Real-time Surgical Environment Enhancement for Robot-Assisted Minimally Invasive Surgery Based on Super-Resolution
In Robot-Assisted Minimally Invasive Surgery (RAMIS), a camera assistant...
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12/23/2019
Artificial Intelligence in Surgery
Artificial Intelligence (AI) is gradually changing the practice of surge...
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09/16/2019
Instantiation-Net: 3D Mesh Reconstruction from Single 2D Image for Right Ventricle
3D shape instantiation which reconstructs the 3D shape of a target from ...
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09/16/2019
Z-Net: an Asymmetric 3D DCNN for Medical CT Volume Segmentation
Accurate volume segmentation from the Computed Tomography (CT) scan is a...
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08/21/2019
U-Net Training with Instance-Layer Normalization
Normalization layers are essential in a Deep Convolutional Neural Networ...
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07/24/2019
One-stage Shape Instantiation from a Single 2D Image to 3D Point Cloud
Shape instantiation which predicts the 3D shape of a dynamic target from...
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02/28/2019
Real-time 3D Shape Instantiation for Partially-deployed Stent Segment from a Single 2D Fluoroscopic Image in Robot-assisted Fenestrated Endovascular Aortic Repair
In robot-assisted Fenestrated Endovascular Aortic Repair (FEVAR), accura...
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01/26/2019
Atrous Convolutional Neural Network (ACNN) for Biomedical Semantic Segmentation with Dimensionally Lossless Feature Maps
Deep Convolutional Neural Networks (DCNNs) are showing impressive perfor...
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09/16/2018
3D Path Planning from a Single 2D Fluoroscopic Image for Robot Assisted Fenestrated Endovascular Aortic Repair
The current standard of intra-operative navigation during Fenestrated En...
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09/11/2018
Normalization in Training Deep Convolutional Neural Networks for 2D Bio-medical Semantic Segmentation
2D bio-medical semantic segmentation is important for surgical robotic v...
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04/19/2018
Estimation of Tissue Oxygen Saturation from RGB Images based on Pixel-level Image Translation
Intra-operative measurement of tissue oxygen saturation (StO2) has been ...
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04/09/2018
Abdominal Aortic Aneurysm Segmentation with a Small Number of Training Subjects
Pre-operative Abdominal Aortic Aneurysm (AAA) 3D shape is critical for c...
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12/30/2017
A Real-time and Registration-free Framework for Dynamic Shape Instantiation
Real-time 3D navigation during minimally invasive procedures is an essen...
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11/04/2017
Focal FCN: Towards Small Object Segmentation with Limited Training Data
Small object segmentation is a common task in medical image analysis. Tr...
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09/22/2017
