Articles

Biologically Plausible Training Mechanisms for Self-Supervised Learning in Deep Networks

• Mufeng Tang
• Yibo Yang
• Yali Amit

Segmentation model of soft tissue sarcoma based on self-supervised learning

in Cancer Imaging and Image-directed Interventions

• Minting Zheng
• Chenhua Guo
• Yifeng Zhu
• Xiaoming Gang
• Chongyang Fu
• Shaowu Wang

Contrastive self-supervised learning for neurodegenerative disorder classification

• Vadym Gryshchuk
• Devesh Singh
• Stefan Teipel
• Martin Dyrba
• the ADNI, AIBL, FTLDNI study groups

Self-supervised learning for modal transfer of brain imaging

in Brain Imaging Methods

• Dapeng Cheng
• Chao Chen
• Mao Yanyan
• Panlu You
• Xingdan Huang
• Jiale Gai
• Feng Zhao
• Ning Mao

Accounting data anomaly detection and prediction based on self-supervised learning

in Optimization

• Yingying Zhang
• Bingbing Duan

Self-supervised learning for Formosan speech representation and linguistic phylogeny

in Language Processing

• Shu-Kai Hsieh
• Yu-Hsiang Tseng
• Da-Chen Lian
• Chi-Wei Wang

Intra-video positive pairs in self-supervised learning for ultrasound

in Imaging Applications

• Blake VanBerlo
• Alexander Wong
• Jesse Hoey
• Robert Arntfield

Visual Summary Identification From Scientific Publications via Self-Supervised Learning

in Emerging Technologies and Transformative Paradigms in Research

• Shintaro Yamamoto
• Anne Lauscher
• Simone Paolo Ponzetto
• Goran Glavaš
• Shigeo Morishima

Self supervised learning based emotion recognition using physiological signals

in Brain-Computer Interfaces

• Min Zhang
• YanLi Cui

Generic speech enhancement with self-supervised representation space loss

in Audio and Acoustic Signal Processing

• Hiroshi Sato
• Tsubasa Ochiai
• Marc Delcroix
• Takafumi Moriya
• Takanori Ashihara
• Ryo Masumura

Self-supervised learning analysis of multi-FISH labeled cell-type map in thick brain slices

in Brain Imaging Methods

• Weijie Zheng
• Yiping An
• Kang Li
• Jinyue Wang
• Jianqing Gao
• Huawei Mu
• Jin Tang
• Hao Wang

PSNSleep: a self-supervised learning method for sleep staging based on Siamese networks with only positive sample pairs

in Sleep and Circadian Rhythms

• Yuyang You
• Shuohua Chang
• Zhihong Yang
• Qihang Sun

Improving brain tumor segmentation with anatomical prior-informed pre-training

in Nuclear Medicine

• Kang Wang
• Zeyang Li
• Haoran Wang
• Siyu Liu
• Mingyuan Pan
• Manning Wang
• Shuo Wang
• Zhijian Song

Self-supervised learning and transformer-based technologies in breast cancer imaging

in Artificial Intelligence in Radiology

• Lulu Wang

A layer-wise fusion network incorporating self-supervised learning for multimodal MR image synthesis

in Computational Genomics

• Qian Zhou
• Hua Zou

Self-supervised learning for macromolecular structure classification based on cryo-electron tomograms

in Medical Physics and Imaging

• Tarun Gupta
• Xuehai He
• Mostofa Rafid Uddin
• Xiangrui Zeng
• Andrew Zhou
• Jing Zhang
• Zachary Freyberg
• Min Xu