Self-supervised multi-task representation learning for sequential medical images

Self-supervised multi-task representation learning for sequential medical images

Self-supervised representation learning has achieved promising results for downstream visual tasks in natural images. However, its use in the medical domain, where there is an underlying anatomical structural similarity, remains underexplored. To address this shortcoming, we propose a self-supervise...

Mô tả đầy đủ

Chi tiết về thư mục
Những tác giả chính:	Dong, N, Kampffmeyer, M, Voiculescu, I
Định dạng:	Conference item
Ngôn ngữ:	English
Được phát hành:	Springer 2021

Những quyển sách tương tự

Federated partially supervised learning with limited decentralized medical images
Bằng: Dong, N, et al.
Được phát hành: (2022)

Towards robust partially supervised multi-structure medical image segmentation on small-scale data
Bằng: Dong, N, et al.
Được phát hành: (2021)

Learning underrepresented classes from decentralized partially labeled medical images
Bằng: Dong, N, et al.
Được phát hành: (2022)

Multi-task self-supervised visual learning
Bằng: Doersch, C, et al.
Được phát hành: (2017)

Self-Supervised Learning for Invariant Representations From Multi-Spectral and SAR Images
Bằng: Pallavi Jain, et al.
Được phát hành: (2022-01-01)

EMS2L: Enhanced Multi-Task Self-Supervised Learning for 3D Skeleton Representation Learning
Bằng: Lilang Lin, et al.
Được phát hành: (2023-01-01)

Multi-Task Collaborative Network: Bridge the Supervised and Self-Supervised Learning for EEG Classification in RSVP Tasks
Bằng: Hongxin Li, et al.
Được phát hành: (2024-01-01)

Exploring self-supervised learning biases for microscopy image representation
Bằng: Ihab Bendidi, et al.
Được phát hành: (2024-01-01)

Multi-modal representation learning in retinal imaging using self-supervised learning for enhanced clinical predictions
Bằng: Emese Sükei, et al.
Được phát hành: (2024-11-01)

Self-supervised video representation learning
Bằng: Han, T
Được phát hành: (2022)

Learning Representations for Weakly Supervised Natural Language Processing Tasks
Bằng: Fei Huang, et al.
Được phát hành: (2024-05-01)

HistoSSL: Self-Supervised Representation Learning for Classifying Histopathology Images
Bằng: Xu Jin, et al.
Được phát hành: (2022-12-01)

Computationally-efficient vision transformer for medical image semantic segmentation via dual pseudo-label supervision
Bằng: Wang, Z, et al.
Được phát hành: (2022)

MV–MR: Multi-Views and Multi-Representations for Self-Supervised Learning and Knowledge Distillation
Bằng: Vitaliy Kinakh, et al.
Được phát hành: (2024-05-01)

Weakly supervised medical image segmentation through dense combinations of dense pseudo-l-abels
Bằng: Wang, Z, et al.
Được phát hành: (2023)

Improving self-supervision in video representation learning
Bằng: Liu, Hualin
Được phát hành: (2021)

Self-supervised representation learning for ultrasound video
Bằng: Jaio, J, et al.
Được phát hành: (2020)

Solving inefficiency of self-supervised representation learning
Bằng: Wang, G, et al.
Được phát hành: (2022)

Survey on Self-Supervised Learning: Auxiliary Pretext Tasks and Contrastive Learning Methods in Imaging
Bằng: Saleh Albelwi
Được phát hành: (2022-04-01)

Negational symmetry of quantum neural networks for binary pattern classification
Bằng: Dong, N, et al.
Được phát hành: (2022)

Self-supervised in-domain representation learning for remote sensing image scene classification
Bằng: Ali Ghanbarzadeh, et al.
Được phát hành: (2024-10-01)

Semi-supervised Histopathological Image Segmentation Method Based on Multi-task Learning
Bằng: ZENG Li, et al.
Được phát hành: (2023-03-01)

Self-Supervised Representation Learning for Remote Sensing Image Change Detection Based on Temporal Prediction
Bằng: Huihui Dong, et al.
Được phát hành: (2020-06-01)

Self-supervised multi-modal alignment for whole body medical imaging
Bằng: Windsor, R, et al.
Được phát hành: (2021)

Anomalies, representations, and self-supervision
Bằng: Barry M. Dillon, Luigi Favaro, Friedrich Feiden, Tanmoy Modak, Tilman Plehn
Được phát hành: (2024-08-01)

Federated contrastive learning for decentralized unlabeled medical images
Bằng: Dong, N, et al.
Được phát hành: (2021)

Multi-Channel Interactive Reinforcement Learning for Sequential Tasks
Bằng: Dorothea Koert, et al.
Được phát hành: (2020-09-01)

Self-Supervised Feature Enhancement: Applying Internal Pretext Task to Supervised Learning
Bằng: Tianshu Xie, et al.
Được phát hành: (2023-01-01)

Self-supervised learning of structural representations of visual objects
Bằng: Jakab, T
Được phát hành: (2021)

Self-supervised co-training for video representation learning
Bằng: Han, T, et al.
Được phát hành: (2020)

Self-Supervised Hypergraph Learning for Enhanced Multimodal Representation
Bằng: Hongji Shu, et al.
Được phát hành: (2024-01-01)

Heuristic Attention Representation Learning for Self-Supervised Pretraining
Bằng: Van Nhiem Tran, et al.
Được phát hành: (2022-07-01)

Grouped Contrastive Learning of Self-Supervised Sentence Representation
Bằng: Qian Wang, et al.
Được phát hành: (2023-08-01)

A Multi-Task Learning Model for Better Representation of Clothing Images
Bằng: Cairong Yan, et al.
Được phát hành: (2019-01-01)

Self-Supervised Feature Representation for SAR Image Target Classification Using Contrastive Learning
Bằng: Hao Pei, et al.
Được phát hành: (2023-01-01)

Multi-Task Simultaneous Supervision
Bằng: Afifah Rizka, et al.
Được phát hành: (2024-08-01)

Self-supervised contrastive video-speech representation learning for ultrasound
Bằng: Jiao, J, et al.
Được phát hành: (2020)

Multi-task learning with self-learning weight for image denoising
Bằng: Qian Xiang, et al.
Được phát hành: (2024-04-01)

Self-supervision advances morphological profiling by unlocking powerful image representations
Bằng: Vladislav Kim, et al.
Được phát hành: (2025-02-01)

Comparing Learning Methodologies for Self-Supervised Audio-Visual Representation Learning
Bằng: Hacene Terbouche, et al.
Được phát hành: (2022-01-01)