Jiawei Yang | DeepAI

DeepAI AI Chat

Featured Co-authors

Wei Zhang
393 publications
Yue Wang
263 publications
Wei Xu
242 publications
Fan Yang
225 publications
Marco Pavone
151 publications
Yang Zhang
141 publications
Marco Di Renzo
116 publications
Junzhou Huang
106 publications
Jun Ma
90 publications
Xu Tan
86 publications
Yao Zhang
75 publications

∙ 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...

0 Xiaowen Ma, et al. ∙

∙ 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...

0 Xu Tan, et al. ∙

∙ 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...

0 Weinan Song, et al. ∙

∙ 03/17/2023

Neighborhood Averaging for Improving Outlier Detectors

We hypothesize that similar objects should have similar outlier scores. ...

0 Jiawei Yang, et al. ∙

∙ 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...

0 Jiawei Yang, et al. ∙

∙ 11/26/2022

Human-machine Interactive Tissue Prototype Learning for Label-efficient Histopathology Image Segmentation

Recently, deep neural networks have greatly advanced histopathology imag...

0 Wentao Pan, et al. ∙

∙ 07/14/2022

ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images

Detectingandsegmentingobjectswithinwholeslideimagesis essential in compu...

0 Jiawei Yang, et al. ∙

∙ 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...

0 Jiawei Yang, et al. ∙

∙ 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...

6 Jiawei Yang, et al. ∙

∙ 08/30/2021

X2Teeth: 3D Teeth Reconstruction from a Single Panoramic Radiograph

3D teeth reconstruction from X-ray is important for dental diagnosis and...

9 Yuan Liang, et al. ∙

∙ 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...

0 Jiawei Yang, et al. ∙

∙ 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...

0 Yao Zhang, et al. ∙

∙ 02/02/2021

Atlas-aware ConvNetfor Accurate yet Robust Anatomical Segmentation

Convolutional networks (ConvNets) have achieved promising accuracy for v...

3 Yuan Liang, et al. ∙

∙ 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...

0 Yuan Liang, et al. ∙

∙ 12/23/2020

Exploring Instance-Level Uncertainty for Medical Detection

The ability of deep learning to predict with uncertainty is recognized a...

7 Jiawei Yang, et al. ∙

∙ 10/23/2020

Loss-analysis via Attention-scale for Physiologic Time Series

Physiologic signals have properties across multiple spatial and temporal...

0 Jiawei Yang, et al. ∙

∙ 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...

0 Nicholas Heller, et al. ∙

∙ 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...

0 Yifan Luo, et al. ∙

∙ 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...

0 Yao Zhang, et al. ∙

∙ 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 ...

0 Nhan Duy Truong, et al. ∙

∙ 01/31/2017

Supervised Learning in Automatic Channel Selection for Epileptic Seizure Detection

Detecting seizure using brain neuroactivations recorded by intracranial ...

0 Nhan Truong, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world