Alex Ling Yu相关文献与解析，生知库 | 链接生命科学的每一步

A Neural Conditional Random Field Model Using Deep Features and Learnable Functions for End-to-End MRI Prostate Zonal Segmentation

基于深度特征和可学习函数的神经条件随机场模型用于端到端MRI前列腺区域分割

doi:10.59275/j.melba.2025-gc4c

Hung, Alex Ling Yu; Zhao, Kai; Pang, Kaifeng; Zheng, Haoxin; Du, Xiaoxi; Miao, Qi; Terzopoulos, Demetri; Sung, Kyunghyun

发表日期：2025

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AtPCa-Net: anatomical-aware prostate cancer detection network on multi-parametric MRI

AtPCa-Net：基于多参数磁共振成像的解剖感知前列腺癌检测网络

期刊:Scientific Reports

影响因子:3.9

doi:10.1038/s41598-024-56405-7

Zheng, Haoxin; Hung, Alex Ling Yu; Miao, Qi; Song, Weinan; Scalzo, Fabien; Raman, Steven S; Zhao, Kai; Sung, Kyunghyun

Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection

跨切片注意力机制和证据临界损失用于不确定性感知的前列腺癌检测

期刊:

影响因子:

doi:10.1007/978-3-031-72111-3_11

Hung, Alex Ling Yu; Zheng, Haoxin; Zhao, Kai; Pang, Kaifeng; Terzopoulos, Demetri; Sung, Kyunghyun

Med-cDiff: Conditional Medical Image Generation with Diffusion Models

Med-cDiff：基于扩散模型的条件医学图像生成

期刊:Bioengineering-Basel

影响因子:3.8

doi:10.3390/bioengineering10111258

Hung, Alex Ling Yu; Zhao, Kai; Zheng, Haoxin; Yan, Ran; Raman, Steven S; Terzopoulos, Demetri; Sung, Kyunghyun

发表日期：2023

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CAT-Net: A Cross-Slice Attention Transformer Model for Prostate Zonal Segmentation in MRI

CAT-Net：一种用于MRI前列腺区域分割的跨切片注意力Transformer模型

期刊:

影响因子:

doi:10.1109/TMI.2022.3211764

Hung, Alex Ling Yu; Zheng, Haoxin; Miao, Qi; Raman, Steven S; Terzopoulos, Demetri; Sung, Kyunghyun

发表日期：2023

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Weakly- and Semisupervised Probabilistic Segmentation and Quantification of Reverberation Artifacts

弱监督和半监督概率分割与混响伪影量化

期刊:BME Frontiers

影响因子:7.7

doi:10.34133/2022/9837076

Hung, Alex Ling Yu; Chen, Edward; Galeotti, John

发表日期：2022

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Good and bad boundaries in ultrasound compounding: preserving anatomic boundaries while suppressing artifacts

超声成像中好坏边界的叠加：既要保留解剖边界，又要抑制伪影

期刊:International Journal of Computer Assisted Radiology and Surgery

影响因子:2.3

doi:10.1007/s11548-021-02464-4

Hung, Alex Ling Yu; Galeotti, John

发表日期：2021

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NExpR: Neural Explicit Representation for fast arbitrary-scale medical image super-resolution

NExpR：用于快速任意尺度医学图像超分辨率的神经显式表示

MRI Super-Resolution With Partial Diffusion Models

基于部分扩散模型的MRI超分辨率成像

MINIMALLY USER-GUIDED 3D MICRO-ULTRASOUND PROSTATE SEGMENTATION

极简用户引导式三维微超声前列腺分割

A Neural Conditional Random Field Model Using Deep Features and Learnable Functions for End-to-End MRI Prostate Zonal Segmentation

基于深度特征和可学习函数的神经条件随机场模型用于端到端MRI前列腺区域分割

AtPCa-Net: anatomical-aware prostate cancer detection network on multi-parametric MRI

AtPCa-Net：基于多参数磁共振成像的解剖感知前列腺癌检测网络

Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection

跨切片注意力机制和证据临界损失用于不确定性感知的前列腺癌检测

Med-cDiff: Conditional Medical Image Generation with Diffusion Models

Med-cDiff：基于扩散模型的条件医学图像生成

CAT-Net: A Cross-Slice Attention Transformer Model for Prostate Zonal Segmentation in MRI

CAT-Net：一种用于MRI前列腺区域分割的跨切片注意力Transformer模型

Weakly- and Semisupervised Probabilistic Segmentation and Quantification of Reverberation Artifacts

弱监督和半监督概率分割与混响伪影量化

Good and bad boundaries in ultrasound compounding: preserving anatomic boundaries while suppressing artifacts

超声成像中好坏边界的叠加：既要保留解剖边界，又要抑制伪影