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08/24/2023
Full-dose PET Synthesis from Low-dose PET Using High-efficiency Diffusion Denoising Probabilistic Model
To reduce the risks associated with ionizing radiation, a reduction of r...
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08/22/2023
IT3D: Improved Text-to-3D Generation with Explicit View Synthesis
Recent strides in Text-to-3D techniques have been propelled by distillin...
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08/04/2023
Attention-Driven Lightweight Model for Pigmented Skin Lesion Detection
This study presents a lightweight pipeline for skin lesion detection, ad...
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05/31/2023
Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion Model
Magnetic resonance imaging (MRI)-based synthetic computed tomography (sC...
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05/21/2023
BreastSAM: A Study of Segment Anything Model for Breast Tumor Detection in Ultrasound Images
Breast cancer is one of the most common cancers among women worldwide, w...
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04/30/2023
Cross-Shaped Windows Transformer with Self-supervised Pretraining for Clinically Significant Prostate Cancer Detection in Bi-parametric MRI
Multiparametric magnetic resonance imaging (mpMRI) has demonstrated prom...
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04/29/2023
Polyp-SAM: Transfer SAM for Polyp Segmentation
Colon polyps are considered important precursors for colorectal cancer. ...
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04/28/2023
Cycle-guided Denoising Diffusion Probability Model for 3D Cross-modality MRI Synthesis
This study aims to develop a novel Cycle-guided Denoising Diffusion Prob...
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04/27/2023
SkinSAM: Empowering Skin Cancer Segmentation with Segment Anything Model
Skin cancer is a prevalent and potentially fatal disease that requires a...
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04/11/2023
Advancing Medical Imaging with Language Models: A Journey from N-grams to ChatGPT
In this paper, we aimed to provide a review and tutorial for researchers...
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02/25/2023
Deep Learning-based Multi-Organ CT Segmentation with Adversarial Data Augmentation
In this work, we propose an adversarial attack-based data augmentation m...
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01/18/2023
Effective End-to-End Vision Language Pretraining with Semantic Visual Loss
Current vision language pretraining models are dominated by methods usin...
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11/24/2022
Error estimates for the scalar auxiliary variable (SAV) scheme to the Cahn-Hilliard equation
The optimal error estimate that depending only on the polynomial degree ...
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09/14/2022
Landmark Tracking in Liver US images Using Cascade Convolutional Neural Networks with Long Short-Term Memory
This study proposed a deep learning-based tracking method for ultrasound...
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08/29/2022
Deformable Image Registration using Unsupervised Deep Learning for CBCT-guided Abdominal Radiotherapy
CBCTs in image-guided radiotherapy provide crucial anatomy information f...
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07/19/2022
DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect Estimation
Causal Inference has wide applications in various areas such as E-commer...
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06/28/2022
Reinforcement Learning in Medical Image Analysis: Concepts, Applications, Challenges, and Future Directions
Motivation: Medical image analysis involves tasks to assist physicians i...
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04/16/2022
Multi-organ Segmentation Network with Adversarial Performance Validator
CT organ segmentation on computed tomography (CT) images becomes a signi...
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04/01/2022
Deep Q-learning of global optimizer of multiply model parameters for viscoelastic imaging
Objective: Estimation of the global optima of multiple model parameters ...
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01/06/2022
Self-Training Vision Language BERTs with a Unified Conditional Model
Natural language BERTs are trained with language corpus in a self-superv...
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06/07/2021
DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate Prediction
In E-commerce, vouchers are important marketing tools to enhance users' ...
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03/25/2021
Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review
Medical imaging is widely used in cancer diagnosis and treatment, and ar...
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01/28/2020
Deep Learning in Multi-organ Segmentation
This paper presents a review of deep learning (DL) in multi-organ segmen...
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01/18/2020
Machine Learning in Quantitative PET Imaging
This paper reviewed the machine learning-based studies for quantitative ...
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12/27/2019
Deep Learning in Medical Image Registration: A Review
This paper presents a review of deep learning (DL) based medical image r...
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11/13/2019
Optimal Algorithms for Ranked Enumeration of Answers to Full Conjunctive Queries
We study ranked enumeration of the results to a join query in order of d...
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02/16/2018