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06/02/2023
Transformer-based Annotation Bias-aware Medical Image Segmentation
Manual medical image segmentation is subjective and suffers from annotat...
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04/17/2023
Unsupervised Image Denoising with Score Function
Though achieving excellent performance in some cases, current unsupervis...
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04/07/2023
UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation Learner
The universal model emerges as a promising trend for medical image segme...
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03/08/2023
A Prompt Log Analysis of Text-to-Image Generation Systems
Recent developments in large language models (LLM) and generative AI hav...
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02/05/2023
Diffusion Model for Generative Image Denoising
In supervised learning for image denoising, usually the paired clean ima...
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12/16/2022
Instance-specific Label Distribution Regularization for Learning with Label Noise
Modeling noise transition matrix is a kind of promising method for learn...
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11/13/2022
Learning from partially labeled data for multi-organ and tumor segmentation
Medical image benchmarks for the segmentation of organs and tumors suffe...
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05/17/2022
Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation
As one of the most challenging and practical segmentation tasks, open-wo...
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03/05/2022
Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction
We propose a novel and unified method, measurement-conditioned denoising...
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02/25/2022
Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection
Program representation, which aims at converting program source code int...
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02/08/2022
Trained Model in Supervised Deep Learning is a Conditional Risk Minimizer
We proved that a trained model in supervised deep learning minimizes the...
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12/22/2021
How Much of the Chemical Space Has Been Explored? Selecting the Right Exploration Measure for Drug Discovery
Forming a molecular candidate set that contains a wide range of potentia...
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12/17/2021
Unified 2D and 3D Pre-training for Medical Image classification and Segmentation
Self-supervised learning (SSL) opens up huge opportunities for better ut...
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11/26/2021
Modeling Human Preference and Stochastic Error for Medical Image Segmentation with Multiple Annotators
Manual annotation of medical images is highly subjective, leading to ine...
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04/23/2021
Learning from Ambiguous Labels for Lung Nodule Malignancy Prediction
Lung nodule malignancy prediction is an essential step in the early diag...
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03/18/2021
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery
Searching for novel molecules with desired chemical properties is crucia...
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03/04/2021
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation
Convolutional neural networks (CNNs) have been the de facto standard for...
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12/08/2020
A General Computational Framework to Measure the Expressiveness of Complex Networks Using a Tighter Upper Bound of Linear Regions
The expressiveness of deep neural network (DNN) is a perspective to unde...
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11/28/2020
Inter-slice Context Residual Learning for 3D Medical Image Segmentation
Automated and accurate 3D medical image segmentation plays an essential ...
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11/25/2020
PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation
It has been widely recognized that the success of deep learning in image...
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11/20/2020
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets
Due to the intensive cost of labor and expertise in annotating 3D medica...
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08/06/2020
Pairwise Relation Learning for Semi-supervised Gland Segmentation
Accurate and automated gland segmentation on histology tissue images is ...
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03/27/2020
COVID-19 Screening on Chest X-ray Images Using Deep Learning based Anomaly Detection
Coronaviruses are important human and animal pathogens. To date the nove...
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01/28/2020
Deep Reinforcement Learning for Backscatter-Aided Data Offloading in Mobile Edge Computing
Wireless network optimization has been becoming very challenging as the ...
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03/08/2019
Semi- and Weakly Supervised Directional Bootstrapping Model for Automated Skin Lesion Segmentation
Automated skin lesion segmentation on dermoscopy images is an essential ...
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01/29/2019
Visual Rhythm Prediction with Feature-Aligning Network
In this paper, we propose a data-driven visual rhythm prediction method,...
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07/23/2018
A Multi-Level Deep Ensemble Model for Skin Lesion Classification in Dermoscopy Images
A multi-level deep ensemble (MLDE) model that can be trained in an 'end ...
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06/28/2017
