conftrace_

medical image segmentation

351 papers

Explore in graph

Also known as

MIS

Co-occurring keywords

semantic segmentation (3186) semi-supervised learning (2341) medical imaging (971) image segmentation (971) domain adaptation (4595) convolutional neural network (4226) self-supervised learning (3777) attention mechanism (4001) domain generalization (1522) few-shot learning (3398)

Papers

The Fully Convolutional Transformer for Medical Image Segmentation WACV 2023
Generative Adversarial Networks for Coronary CT Angiography Acquisition Protocol Correction with Explicit Attenuation Constraints MIDL 2023
On-the-Fly Test-time Adaptation for Medical Image Segmentation MIDL 2023
CiT-Net: Convolutional Neural Networks Hand in Hand with Vision Transformers for Medical Image Segmentation IJCAI 2023
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation IJCAI 2023
MS-Former: Multi-Scale Self-Guided Transformer for Medical Image Segmentation MIDL 2023
Federated Cross Learning for Medical Image Segmentation MIDL 2023
Sub-Band Based Attention for Robust Polyp Segmentation IJCAI 2023
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation ICCV 2023
Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans ICCV 2023
Pseudo-Label Guided Contrastive Learning for Semi-Supervised Medical Image Segmentation CVPR 2023
UniverSeg: Universal Medical Image Segmentation ICCV 2023
Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation ICCV 2023
ACL-Net: Semi-supervised Polyp Segmentation via Affinity Contrastive Learning AAAI 2023
Few-Shot Medical Image Segmentation With Cycle-Resemblance Attention WACV 2023
Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation NIPS 2023
RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget (Student Abstract) AAAI 2023
Rethinking Few-Shot Medical Segmentation: A Vector Quantization View CVPR 2023
Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift ICML 2023
A case for reframing automated medical image classification as segmentation NIPS 2023
Representation Recovering for Self-Supervised Pre-Training on Medical Images WACV 2023
Unsupervised Domain Adaptation for Medical Image Segmentation by Selective Entropy Constraints and Adaptive Semantic Alignment AAAI 2023
ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation AAAI 2023
Rethinking Data Augmentation for Single-Source Domain Generalization in Medical Image Segmentation AAAI 2023
Robust One-Shot Segmentation of Brain Tissues via Image-Aligned Style Transformation AAAI 2023