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04/22/2023
STNet: Spatial and Temporal feature fusion network for change detection in remote sensing images
As an important task in remote sensing image analysis, remote sensing ch...
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04/03/2023
Improving Autoencoder-based Outlier Detection with Adjustable Probabilistic Reconstruction Error and Mean-shift Outlier Scoring
Autoencoders were widely used in many machine learning tasks thanks to t...
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03/21/2023
Oral-NeXF: 3D Oral Reconstruction with Neural X-ray Field from Panoramic Imaging
3D reconstruction of medical images from 2D images has increasingly beco...
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03/17/2023
Neighborhood Averaging for Improving Outlier Detectors
We hypothesize that similar objects should have similar outlier scores. ...
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03/13/2023
FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization
Novel view synthesis with sparse inputs is a challenging problem for neu...
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11/26/2022
Human-machine Interactive Tissue Prototype Learning for Label-efficient Histopathology Image Segmentation
Recently, deep neural networks have greatly advanced histopathology imag...
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07/14/2022
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images
Detectingandsegmentingobjectswithinwholeslideimagesis essential in compu...
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07/05/2022
ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification
Whole slide image (WSI) classification often relies on deep weakly super...
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02/18/2022
Towards better understanding and better generalization of few-shot classification in histology images with contrastive learning
Few-shot learning is an established topic in natural images for years, b...
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08/30/2021
X2Teeth: 3D Teeth Reconstruction from a Single Panoramic Radiograph
3D teeth reconstruction from X-ray is important for dental diagnosis and...
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07/21/2021
TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation
Deep learning models are notoriously data-hungry. Thus, there is an urgi...
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07/21/2021
Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation
Liver cancer is one of the most common cancers worldwide. Due to inconsp...
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02/02/2021
Atlas-aware ConvNetfor Accurate yet Robust Anatomical Segmentation
Convolutional networks (ConvNets) have achieved promising accuracy for v...
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12/31/2020
OralViewer: 3D Demonstration of Dental Surgeries for Patient Education with Oral Cavity Reconstruction from a 2D Panoramic X-ray
Patient's understanding on forthcoming dental surgeries is required by p...
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12/23/2020
Exploring Instance-Level Uncertainty for Medical Detection
The ability of deep learning to predict with uncertainty is recognized a...
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10/23/2020
Loss-analysis via Attention-scale for Physiologic Time Series
Physiologic signals have properties across multiple spatial and temporal...
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12/02/2019
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge
There is a large body of literature linking anatomic and geometric chara...
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10/29/2019
Resource Allocation Using Gradient Boosting Aided Deep Q-Network for IoT in C-RANs
In this paper, we investigate dynamic resource allocation (DRA) problems...
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10/05/2019
Cascaded Volumetric Convolutional Network for Kidney Tumor Segmentation from CT volumes
Automated segmentation of kidney and tumor from 3D CT scans is necessary...
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07/06/2017
A Generalised Seizure Prediction with Convolutional Neural Networks for Intracranial and Scalp Electroencephalogram Data Analysis
Seizure prediction has attracted a growing attention as one of the most ...
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01/31/2017