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【论文合集】2022年10月医学影像期刊论文合集_transformer-based unsupervised contrastive learnin
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★本月IEEE Transactions on Medical Imaging(1区 top if 11.037) 共32篇, Medical Image Analysis（1区 top if 13.828） 共30篇.
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标题高频词汇
('segmentation', 13), ('brain', 9), ('mri', 6), ('graph', 4)('attention', 4), ('3d', 4), ('contrastive', 4), ('neural', 3), ('method', 3), ('instance', 3), ('tomography', 3), ('prediction', 3), ('self-supervised', 3), ('representation', 3), ('detection', 3), ('data', 3), ('convolutional', 3), ('feature', 3), ('shape', 3), ('multi-scale', 3)
值得关注的论文
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images
MOOD 2020：医学图像分布外检测和定位的公共基准
ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images
ADAM 挑战：从眼底图像检测年龄相关性黄斑变性
16. A transformer-Based neural language model that synthesizes brain activation maps from free-form text queries
一种基于变换器的神经语言模型，可从自由格式的文本查询中合成大脑激活图
TMI 202210论文速递
1. Disentangling Normal Aging From Severity of Disease via Weak Supervision on Longitudinal MRI
通过纵向 MRI 的弱监督将正常衰老与疾病严重程度区分
Jiahong Ouyang;Qingyu Zhao;Ehsan Adeli;Greg Zaharchuk;Kilian M. Pohl
原文链接：https://ieeexplore.ieee.org/document/9754514/
2. Intraoperative Glioma Grading Using Neural Architecture Search and Multi-Modal Imaging
使用神经结构搜索和多模态成像进行术中神经胶质瘤分级
Anqi Xiao;Biluo Shen;Xiaojing Shi;Zhe Zhang;Zeyu Zhang;Jie Tian;Nan Ji;Zhenhua Hu
原文链接：https://ieeexplore.ieee.org/document/9754565/
3. H-EMD: A Hierarchical Earth Mover’s Distance Method for Instance Segmentation
H-EMD：一种用于实例分割的分层地球移动器距离方法
Peixian Liang;Yizhe Zhang;Yifan Ding;Jianxu Chen;Chinedu S. Madukoma;Tim Weninger;Joshua D. Shrout;Danny Z. Chen
原文链接：https://ieeexplore.ieee.org/document/9761163/
4. ResViT: Residual Vision Transformers for Multimodal Medical Image Synthesis
ResViT：用于多模态医学图像合成的残留视觉转换器
Onat Dalmaz;Mahmut Yurt;Tolga Çukur
原文链接：https://ieeexplore.ieee.org/document/9758823/
5. Deep-Learning-Based Fast Optical Coherence Tomography (OCT) Image Denoising for Smart Laser Osteotomy
用于智能激光截骨术的基于深度学习的快速光学相干断层扫描 (OCT) 图像去噪
Yakub A. Bayhaqi;Arsham Hamidi;Ferda Canbaz;Alexander A. Navarini;Philippe C. Cattin;Azhar Zam
原文链接：https://ieeexplore.ieee.org/document/9760477/
6. Self-Training Strategy Based on Finite Element Method for Adaptive Bioluminescence Tomography Reconstruction
基于有限元方法的自适应生物发光层析重建自训练策略
Xuanxuan Zhang;Xu Cao;Peng Zhang;Fan Song;Jiulou Zhang;Lin Zhang;Guanglei Zhang
原文链接：https://ieeexplore.ieee.org/document/9758813/
7. Prior Knowledge-Aware Fusion Network for Prediction of Macrovascular Invasion in Hepatocellular Carcinoma
用于预测肝细胞癌大血管浸润的先验知识感知融合网络
Haoran Lai;Sirui Fu;Jie Zhang;Jianyun Cao;Qianjin Feng;Ligong Lu;Meiyan Huang
原文链接：https://ieeexplore.ieee.org/document/9758737/
8. SAM: Self-Supervised Learning of Pixel-Wise Anatomical Embeddings in Radiological Images
SAM：放射图像中逐像素解剖嵌入的自监督学习
Ke Yan;Jinzheng Cai;Dakai Jin;Shun Miao;Dazhou Guo;Adam P. Harrison;Youbao Tang;Jing Xiao;Jingjing Lu;Le Lu
原文链接：https://ieeexplore.ieee.org/document/9760421/
9. Functional Parcellation of Human Brain Using Localized Topo-Connectivity Mapping
使用局部拓扑连接映射的人脑功能分割
Yu Zhao;Yurui Gao;Muwei Li;Adam W. Anderson;Zhaohua Ding;John C. Gore
原文链接：https://ieeexplore.ieee.org/document/9760450/
10. Acceleration Strategies for MR-STAT: Achieving High-Resolution Reconstructions on a Desktop PC Within 3 Minutes
MR-STAT 的加速策略：在 3 分钟内在台式 PC 上实现高分辨率重建
Hongyan Liu;Oscar van der Heide;Stefano Mandija;Cornelis A. T. van den Berg;Alessandro Sbrizzi
原文链接：https://ieeexplore.ieee.org/document/9759308/
11. Dynamic Imaging Using Deep Bi-Linear Unsupervised Representation (DEBLUR)
使用深度双线性无监督表示 (DEBLUR) 的动态成像
Abdul Haseeb Ahmed;Qing Zou;Prashant Nagpal;Mathews Jacob
原文链接：https://ieeexplore.ieee.org/document/9759446/
12. Three-Dimensional Deep-Tissue Functional and Molecular Imaging by Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT)
集成光声、超声和血管断层扫描 (PAUSAT) 的三维深层组织功能和分子成像
Mucong Li;Nathan Beaumont;Chenshuo Ma;Juan Rojas;Tri Vu;Max Harlacher;Graeme O’Connell;Ryan C. Gessner;Hailey Kilian;Ludmila A. Kasatkina;Yong Chen;Qiang Huang;Xiling Shen;Jonathan F. Lovell;Vladislav V. Verkhusha;Tomek Czernuszewicz;Junjie Yao
原文链接：https://ieeexplore.ieee.org/document/9760438/
13. CAR-Net: A Deep Learning-Based Deformation Model for 3D/2D Coronary Artery Registration
CAR-Net：用于 3D/2D 冠状动脉配准的基于深度学习的变形模型
Wei Wu;Jingyang Zhang;Wenjia Peng;Hongzhi Xie;Shuyang Zhang;Lixu Gu
原文链接：https://ieeexplore.ieee.org/document/9759389/
14. MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images
MOOD 2020：医学图像分布外检测和定位的公共基准
David Zimmerer;Peter M. Full;Fabian Isensee;Paul Jäger;Tim Adler;Jens Petersen;Gregor Köhler;Tobias Ross;Annika Reinke;Antanas Kascenas;Bjørn Sand Jensen;Alison Q. O’Neil;Jeremy Tan;Benjamin Hou;James Batten;Huaqi Qiu;Bernhard Kainz;Nina Shvetsova;Irina Fedulova;Dmitry V. Dylov;Baolun Yu;Jianyang Zhai;Jingtao Hu;Runxuan Si;Sihang Zhou;Siqi Wang;Xinyang Li;Xuerun Chen;Yang Zhao;Sergio Naval Marimont;Giacomo Tarroni;Victor Saase;Lena Maier-Hein;Klaus Maier-Hein
原文链接：https://ieeexplore.ieee.org/document/9762702/
15. SPHARM-Net: Spherical Harmonics-Based Convolution for Cortical Parcellation
SPHARM-Net：用于皮层分割的基于球谐函数的卷积
Seungbo Ha;Ilwoo Lyu
原文链接：https://ieeexplore.ieee.org/document/9759394/
16. Learning Brain Dynamics of Evolving Manifold Functional MRI Data Using Geometric-Attention Neural Network
使用几何注意神经网络学习进化流形功能 MRI 数据的大脑动力学
Tingting Dan;Zhuobin Huang;Hongmin Cai;Paul J. Laurienti;Guorong Wu
原文链接：https://ieeexplore.ieee.org/document/9761822/
17. Brain Connectivity Based Graph Convolutional Networks and Its Application to Infant Age Prediction
基于脑连接的图卷积网络及其在婴儿年龄预测中的应用
Yu Li;Xin Zhang;Jingxin Nie;Guowei Zhang;Ruiyan Fang;Xiangmin Xu;Zhengwang Wu;Dan Hu;Li Wang;Han Zhang;Weili Lin;Gang Li
原文链接：https://ieeexplore.ieee.org/document/9766117/
18. Lymph Node Metastasis Prediction From Whole Slide Images With Transformer-Guided Multiinstance Learning and Knowledge Transfer
使用 Transformer 引导的多实例学习和知识转移从整个幻灯片图像预测淋巴结转移
Zhihua Wang;Lequan Yu;Xin Ding;Xuehong Liao;Liansheng Wang
原文链接：https://ieeexplore.ieee.org/document/9765508/
19. Joint Progressive and Coarse-to-Fine Registration of Brain MRI via Deformation Field Integration and Non-Rigid Feature Fusion
通过变形场集成和非刚性特征融合对脑 MRI 进行联合渐进和粗到细配准
Jinxin Lv;Zhiwei Wang;Hongkuan Shi;Haobo Zhang;Sheng Wang;Yilang Wang;Qiang Li
原文链接：https://ieeexplore.ieee.org/document/9765391/
20. Automated Radiographic Report Generation Purely on Transformer: A Multicriteria Supervised Approach
完全基于变压器的自动射线照相报告生成：一种多标准监督方法
Zhanyu Wang;Hongwei Han;Lei Wang;Xiu Li;Luping Zhou
原文链接：https://ieeexplore.ieee.org/document/9768661/
21. Diffusion Kernel Attention Network for Brain Disorder Classification
用于脑部疾病分类的扩散核注意网络
Jianjia Zhang;Luping Zhou;Lei Wang;Mengting Liu;Dinggang Shen
原文链接：https://ieeexplore.ieee.org/document/9763540/
22. ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images
ADAM 挑战：从眼底图像检测年龄相关性黄斑变性
Huihui Fang;Fei Li;Huazhu Fu;Xu Sun;Xingxing Cao;Fengbin Lin;Jaemin Son;Sunho Kim;Gwenole Quellec;Sarah Matta;Sharath M. Shankaranarayana;Yi-Ting Chen;Chuen-Heng Wang;Nisarg A. Shah;Chia-Yen Lee;Chih-Chung Hsu;Hai Xie;Baiying Lei;Ujjwal Baid;Shubham Innani;Kang Dang;Wenxiu Shi;Ravi Kamble;Nitin Singhal;Ching-Wei Wang;Shih-Chang Lo;José Ignacio Orlando;Hrvoje Bogunović;Xiulan Zhang;Yanwu Xu
原文链接：https://ieeexplore.ieee.org/document/9768802/
23. Positronium Lifetime Image Reconstruction for TOF PET
TOF PET 的正电子寿命图像重建
Jinyi Qi;Bangyan Huang
原文链接：https://ieeexplore.ieee.org/document/9777916/
24. Localization of Craniomaxillofacial Landmarks on CBCT Images Using 3D Mask R-CNN and Local Dependency Learning
使用 3D Mask R-CNN 和局部依赖学习在 CBCT 图像上定位颅颌面标志
Yankun Lang;Chunfeng Lian;Deqiang Xiao;Hannah Deng;Kim-Han Thung;Peng Yuan;Jaime Gateno;Tianshu Kuang;David M. Alfi;Li Wang;Dinggang Shen;James J. Xia;Pew-Thian Yap
原文链接：https://ieeexplore.ieee.org/document/9772618/
25. Echocardiography Segmentation With Enforced Temporal Consistency
具有强制时间一致性的超声心动图分割
Nathan Painchaud;Nicolas Duchateau;Olivier Bernard;Pierre-Marc Jodoin
原文链接：https://ieeexplore.ieee.org/document/9771186/
26. Fully-Automated Spike Detection and Dipole Analysis of Epileptic MEG Using Deep Learning
使用深度学习对癫痫 MEG 进行全自动尖峰检测和偶极子分析
Ryoji Hirano;Takuto Emura;Otoichi Nakata;Toshiharu Nakashima;Miyako Asai;Kuriko Kagitani-Shimono;Haruhiko Kishima;Masayuki Hirata
原文链接：https://ieeexplore.ieee.org/document/9772048/
27. Functional Brain Network Classification Based on Deep Graph Hashing Learning
基于深度图哈希学习的功能性脑网络分类
Junzhong Ji;Yaqin Zhang
原文链接：https://ieeexplore.ieee.org/document/9770779/
28. Universal Real-Time Adaptive Signal Compression for High-Frame-Rate Optoacoustic Tomography
用于高帧率光声层析成像的通用实时自适应信号压缩
Ali Özbek;Xosé Luís Deán-Ben;Daniel Razansky
原文链接：https://ieeexplore.ieee.org/document/9778277/
29. Sam’s Net: A Self-Augmented Multistage Deep-Learning Network for End-to-End Reconstruction of Limited Angle CT
Sam's Net：一种用于有限角度 CT 端到端重建的自增强多级深度学习网络
Changyu Chen;Yuxiang Xing;Hewei Gao;Li Zhang;Zhiqiang Chen
原文链接：https://ieeexplore.ieee.org/document/9775696/
30. PTNet3D: A 3D High-Resolution Longitudinal Infant Brain MRI Synthesizer Based on Transformers
PTNet3D：基于变压器的 3D 高分辨率纵向婴儿大脑 MRI 合成器
Xuzhe Zhang;Xinzi He;Jia Guo;Nabil Ettehadi;Natalie Aw;David Semanek;Jonathan Posner;Andrew Laine;Yun Wang
原文链接：https://ieeexplore.ieee.org/document/9774943/
31. Volumetric Fetal Flow Imaging With Magnetic Resonance Imaging
体积胎儿流量成像与磁共振成像
Datta Singh Goolaub;Jiawei Xu;Eric M. Schrauben;Davide Marini;John C. Kingdom;John G. Sled;Mike Seed;Christopher K. Macgowan
原文链接：https://ieeexplore.ieee.org/document/9779724/
32. D2-Net: Dual Disentanglement Network for Brain Tumor Segmentation With Missing Modalities
D2-Net：用于缺少模态的脑肿瘤分割的双重解缠结网络
Qiushi Yang;Xiaoqing Guo;Zhen Chen;Peter Y. M. Woo;Yixuan Yuan
原文链接：https://ieeexplore.ieee.org/document/9775681/
MIA 202210论文速递
1. Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge
晚期gadolinium增强 MRI 的心脏分割：来自多序列心脏 MR 分割挑战的基准研究
Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, ... Lei Li
原文链接：https://www.sciencedirect.com/science/article/pii/S136184152200175X
2. Object recognition in medical images via anatomy-guided deep learning
通过解剖学引导的深度学习在医学图像中进行对象识别
Chao Jin, Jayaram K. Udupa, Liming Zhao, Yubing Tong, ... Drew A. Torigian
原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001748
3. Mutual consistency learning for semi-supervised medical image segmentation
半监督医学图像分割的互一致性学习
Yicheng Wu, Zongyuan Ge, Donghao Zhang, Minfeng Xu, ... Jianfei Cai
原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001773
4. Anomaly segmentation in retinal images with poisson-blending data augmentation
泊松混合数据增强的视网膜图像异常分割
Hualin Wang, Yuhong Zhou, Jiong Zhang, Jianqin Lei, ... Xiayu Xu
原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001815
5. Estimating medical image registration error and confidence: A taxonomy and scoping review
估计医学图像配准误差和置信度：分类和范围界定审查
Joshua Bierbrier, Houssem-Eddine Gueziri, D. Louis Collins
原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001785
6. Deep learning solution for medical image localization and orientation detection
医学图像定位和方向检测的深度学习解决方案
Yu Zhao, Ke Zeng, Yiyuan Zhao, Parmeet Bhatia, ... Gerardo Hermosillo
原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001761
7. LMISA: A lightweight multi-modality image segmentation network via domain adaptation using gradient magnitude and shape constraint
LMISA：一种轻量级多模态图像分割网络，通过使用梯度大小和形状约束的域自适应
Mina Jafari, Susan Francis, Jonathan M. Garibaldi, Xin Chen
原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001839
8. Cardiac MRI segmentation with sparse annotations: Ensembling deep learning uncertainty and shape priors
具有稀疏注释的心脏 MRI 分割：集成深度学习不确定性和形状先验
Fumin Guo, Matthew Ng, Grey Kuling, Graham Wright
原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001797
9. Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images
使用临床和皮肤镜图像进行皮肤病变分类的对抗性多模态融合与注意机制
Yan Wang, Yangqin Feng, Lei Zhang, Joey Tianyi Zhou, ... Liangli Zhen
原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001827
10. An enhanced multi-modal brain graph network for classifying neuropsychiatric disorders
用于分类神经精神疾病的增强型多模式脑图网络
Liangliang Liu, Yu-Ping Wang, Yi Wang, Pei Zhang, Shufeng Xiong
原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001979
11. Conditional GANs based system for fibrosis detection and quantification in Hematoxylin and Eosin whole slide images
基于条件 GAN 的Hematoxylin and Eosin 全玻片图像纤维化检测和量化系统
Ahmed Naglah, Fahmi Khalifa, Ayman El-Baz, Dibson Gondim
原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001840
12. EmbedSeg: Embedding-based Instance Segmentation for Biomedical Microscopy Data
EmbedSeg：基于嵌入的生物医学显微镜数据实例分割
Manan Lalit, Pavel Tomancak, Florian Jug
原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001700
13. Dual-domain self-supervised learning for accelerated non-Cartesian MRI reconstruction
用于加速非笛卡尔 MRI 重建的双域自监督学习
Bo Zhou, Jo Schlemper, Neel Dey, Seyed Sadegh Mohseni Salehi, ... Michal Sofka
原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001852
14. Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI
形状约束 CNN 用于心脏 MRI 中心肌形状和姿态参数的分段引导预测
Sofie Tilborghs, Jan Bogaert, Frederik Maes
原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001803
15. CS-CO: A Hybrid Self-Supervised Visual Representation Learning Method for H&E-stained Histopathological Images
CS-CO：一种用于 H&E 染色组织病理学图像的混合自监督视觉表示学习方法
Pengshuai Yang, Xiaoxu Yin, Haiming Lu, Zhongliang Hu, ... Hairong Lv
原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001864
16. A transformer-Based neural language model that synthesizes brain activation maps from free-form text queries
一种基于变换器的神经语言模型，可从自由格式的文本查询中合成大脑激活图
Gia H. Ngo, Minh Nguyen, Nancy F. Chen, Mert R. Sabuncu
原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001876
17. Rapid Diffusion Magnetic Resonance Imaging Using Slice-Interleaved Encoding
使用切片交错编码的快速扩散磁共振成像
Tiantian Xu, Ye Wu, Yoonmi Hong, Sahar Ahmad, ... Pew-Thian Yap
原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001955
18. Task relevance driven adversarial learning for simultaneous detection, size grading, and quantification of hepatocellular carcinoma via integrating multi-modality MRI
任务相关性驱动的对抗性学习，通过整合多模态 MRI 对肝细胞癌进行同步检测、大小分级和量化
Xiaojiao Xiao, Jianfeng Zhao, Shuo Li
原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522002018
19. A tree-structure-guided graph convolutional network with contrastive learning for the assessment of parkinsonian hand movements
用于评估帕金森手部运动的对比学习的树结构引导图卷积网络
Rui Guo, Hao Li, Chencheng Zhang, Xiaohua Qian
原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522002055
20. Deep active learning for suggestive segmentation of biomedical image stacks via optimisation of Dice scores and traced boundary length
通过优化 Dice 分数和跟踪边界长度对生物医学图像堆栈进行建议性分割的深度主动学习
Alessia Atzeni, Loic Peter, Eleanor Robinson, Emily Blackburn, ... Juan Eugenio Iglesias
原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001967
21. Interpretability-Guided Inductive Bias For Deep Learning Based Medical Image
用于基于深度学习的医学图像的可解释性引导归纳偏差
Dwarikanath Mahapatra, Alexander Poellinger, Mauricio Reyes
原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001980
22. C-arm positioning for standard projections during spinal implant placement
脊柱植入物植入期间用于标准投影的 C 形臂定位
Lisa Kausch, Sarina Thomas, Holger Kunze, Tobias Norajitra, ... Klaus Maier-Hein
原文链接：https://www.sciencedirect.com/science/article/pii/S136184152200202X
23. Improved performance and robustness of multi-task representation learning with consistency loss between pretexts for intracranial hemorrhage identification in head CT
头部 CT 中颅内出血识别借口之间一致性损失的多任务表示学习的改进性能和鲁棒性
Sunggu Kyung, Keewon Shin, Hyunsu Jeong, Ki Duk Kim, ... Namkug Kim
原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001360
24. Transformer-based unsupervised contrastive learning for histopathological image classification
基于 Transformer 的无监督对比学习用于组织病理学图像分类
Xiyue Wang, Sen Yang, Jun Zhang, Minghui Wang, ... Xiao Han
原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522002043
25. Real-time instance segmentation of surgical instruments using attention and multi-scale feature fusion
使用注意力和多尺度特征融合的手术器械实时实例分割
Juan Carlos Ángeles Cerón, Gilberto Ochoa Ruiz, Leonardo Chang, Sharib Ali
原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522002109
26. Cervical cytopathology image refocusing via multi-scale attention features and domain normalization
通过多尺度注意特征和域归一化进行宫颈细胞病理学图像重新聚焦
Xiebo Geng, Xiuli Liu, Shenghua Cheng, Shaoqun Zeng
原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522002080
27. Grayscale self-adjusting network with weak feature enhancement for 3D lumbar anatomy segmentation
用于 3D 腰椎解剖分割的具有弱特征增强的灰度自调整网络
Jinhua Liu, Zhiming Cui, Christian Desrosiers, Shuyi Lu, Yuanfeng Zhou
原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522002092
28. Distributed contrastive learning for medical image segmentation
用于医学图像分割的分布式对比学习
Yawen Wu, Dewen Zeng, Zhepeng Wang, Yiyu Shi, Jingtong Hu
原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522002079
29. Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors
通过多尺度对比正则化和多关节解剖先验对稀疏儿科成像数据集进行泛化多任务、多域深度分割
Arnaud Boutillon, Pierre-Henri Conze, Christelle Pons, Valérie Burdin, Bhushan Borotikar
原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522002031
30. STAMP: Simultaneous Training and Model Pruning for low data regimes in medical image segmentation
STAMP：医学图像分割中低数据状态的同步训练和模型修剪
Nicola K. Dinsdale, Mark Jenkinson, Ana I.L. Namburete
原文链接：https://www.sciencedirect.com/science/article/pii/S136184152200221
