Disentangle, align and fuse for multimodal and semi-supervised image
segmentation

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Disentangle, align and fuse for multimodal and semi-supervised image segmentation

11 November 2019

G. Papanastasiou

Sotirios A. Tsaftaris

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Papers citing "Disentangle, align and fuse for multimodal and semi-supervised image segmentation"

6 / 6 papers shown

Title
AnyStar: Domain randomized universal star-convex 3D instance segmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Neel Dey S. M. Abulnaga Benjamin Billot Esra Abaci Turk P. E. Grant Adrian Dalca Polina Golland MedIm 177 15 0 13 Jul 2023
Multi-Modality Cardiac Image Analysis with Deep Learning Lei Li Fuping Wu Sihan Wang Xiahai Zhuang 93 2 0 08 Nov 2021
Representation Disentanglement for Multi-modal brain MR AnalysisInformation Processing in Medical Imaging (IPMI), 2021 J. Ouyang Ehsan Adeli K. Pohl Qingyu Zhao Greg Zaharchuk 87 43 0 23 Feb 2021
From Pixel to Patch: Synthesize Context-aware Features for Zero-shot Semantic SegmentationIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020 Zhangxuan Gu Siyuan Zhou Li Niu Zihan Zhao Liqing Zhang VLM DiffM 113 23 0 25 Sep 2020
Max-Fusion U-Net for Multi-Modal Pathology Segmentation with Attention and Dynamic Resampling Haochuan Jiang Chengjia Wang A. Chartsias Sotirios A. Tsaftaris MedIm 88 9 0 05 Sep 2020
Semi-supervised Pathology Segmentation with Disentangled Representations Haochuan Jiang A. Chartsias Xinheng Zhang G. Papanastasiou S. Semple M. Dweck David Semple R. Dharmakumar Sotirios A. Tsaftaris 121 6 0 05 Sep 2020

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