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Medical Image Analysis, Volume 95
Volume 95, 2024
- Ashish Sinha
, Jeremy Kawahara
DermSynth3D: Synthesis of in-the-wild annotated dermatology images. 103145 - Soopil Kim
Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets. 103156 - Zuwei Guo
Stepwise incremental pretraining for integrating discriminative, restorative, and adversarial learning. 103159 - Arne Schmidt
Focused active learning for histopathological image classification. 103162 - Dingyi Hu, Zhiguo Jiang, Jun Shi, Fengying Xie, Kun Wu, Kunming Tang, Ming Cao, Jianguo Huai, Yushan Zheng
Histopathology language-image representation learning for fine-grained digital pathology cross-modal retrieval. 103163 - Dewei Hu
Domain generalization for retinal vessel segmentation via Hessian-based vector field. 103164 - Di Zhang, Fangrong Zong, Qichen Zhang, Yunhui Yue, Fan Zhang, Kun Zhao, Dawei Wang, Pan Wang, Xi Zhang, Yong Liu:
Anat-SFSeg: Anatomically-guided superficial fiber segmentation with point-cloud deep learning. 103165 - Jialin Shi
A survey of label-noise deep learning for medical image analysis. 103166 - Ming Zhang
A subject-specific unsupervised deep learning method for quantitative susceptibility mapping using implicit neural representation. 103173 - Serban Stan
Unsupervised model adaptation for source-free segmentation of medical images. 103179 - Qiong Liu
Population-based deep image prior for dynamic PET denoising: A data-driven approach to improve parametric quantification. 103180 - Shaheer U. Saeed
Active learning using adaptable task-based prioritisation. 103181 - Liutong Zhang, Guochen Ning
One-shot neuroanatomy segmentation through online data augmentation and confidence aware pseudo label. 103182 - Yanda Meng
Multi-granularity learning of explicit geometric constraint and contrast for label-efficient medical image segmentation and differentiable clinical function assessment. 103183 - Dong Zhang
Self-supervised anatomical continuity enhancement network for 7T SWI synthesis from 3T SWI. 103184 - Queralt Martín-Saladich
Metabolic-associated fatty liver voxel-based quantification on CT images using a contrast adapted automatic tool. 103185 - Hamza Kebiri
Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study. 103186 - Lihong Huang
Standardization of ultrasound images across various centers: M2O-DiffGAN bridging the gaps among unpaired multi-domain ultrasound images. 103187 - Ching-Hao Chiu
Achieve fairness without demographics for dermatological disease diagnosis. 103188 - Xiaodong Yue, Xiao Huang
Involving logical clinical knowledge into deep neural networks to improve bladder tumor segmentation. 103189 - Juan Pedro Dominguez-Morales
A systematic comparison of deep learning methods for Gleason grading and scoring. 103191 - Caiwen Jiang
Real-time diagnosis of intracerebral hemorrhage by generating dual-energy CT from single-energy CT. 103194 - Yuanhan Mo, Fangde Liu, Guang Yang
Labelling with dynamics: A data-efficient learning paradigm for medical image segmentation. 103196 - Peng Li
Deep magnetic resonance fingerprinting based on Local and Global Vision Transformer. 103198 - Wentao Zhu
Classification of lung cancer subtypes on CT images with synthetic pathological priors. 103199 - Haoran Wang
A comprehensive survey on deep active learning in medical image analysis. 103201 - Qiling Tang
Deep radial basis function networks with subcategorization for mitosis detection in breast histopathology images. 103204 - Kendall Schmidt
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge. 103206 - Andres Diaz-Pinto
MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images. 103207 - Helena Montenegro
Anonymizing medical case-based explanations through disentanglement. 103209 - Tingting Dan
TauFlowNet: Revealing latent propagation mechanism of tau aggregates using deep neural transport equations. 103210
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last updated on 2024-12-15 01:17 CET by the dblp team
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