HeMIS: Hetero-Modal Image Segmentation

18 July 2016

Papers citing "HeMIS: Hetero-Modal Image Segmentation"

46 / 46 papers shown

Title
ABS-Mamba: SAM2-Driven Bidirectional Spiral Mamba Network for Medical Image Translation Feng Yuan Yifan Gao Wenbin Wu Keqing Wu Xiaotong Guo Jie Jiang Xin Gao Mamba 56 0 0 12 May 2025
Multimodal Masked Autoencoder Pre-training for 3D MRI-Based Brain Tumor Analysis with Missing Modalities Lucas Robinet Ahmad Berjaoui Elizabeth Cohen-Jonathan Moyal 26 0 0 01 May 2025
Robust Multimodal Survival Prediction with the Latent Differentiation Conditional Variational AutoEncoder Junjie Zhou Jiao Tang Yingli Zuo Peng Wan Daoqiang Zhang Wei Shao 62 1 0 12 Mar 2025
Personalize to generalize: Towards a universal medical multi-modality generalization through personalization Zhaorui Tan Xi Yang Tan Pan Tianyi Liu Chen Jiang ... Qiufeng Wang Anh Nguyen Yuan Qi K. Huang Yuan Cheng AI4CE LM&MA 41 1 0 09 Nov 2024
Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks Stefan M. Fischer Lina Felsner Richard Osuala Johannes Kiechle Daniel M. Lang J. Peeken Julia A. Schnabel 32 3 0 10 Jul 2024
Enhancing Incomplete Multi-modal Brain Tumor Segmentation with Intra-modal Asymmetry and Inter-modal Dependency Weide Liu Jingwen Hou Xiaoyang Zhong Huijing Zhan Jun Cheng Yuming Fang Guanghui Yue 38 0 0 14 Jun 2024
DuDoUniNeXt: Dual-domain unified hybrid model for single and multi-contrast undersampled MRI reconstruction Ziqi Gao Yue Zhang Xinwen Liu Kaiyan Li S. Kevin Zhou 54 1 0 08 Mar 2024
Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality Hu Wang Yuanhong Chen Congbo Ma Yuan Zhang Jodie Avery Gustavo Carneiro Gustavo Carneiro 25 28 0 02 Oct 2023
CoNeS: Conditional neural fields with shift modulation for multi-sequence MRI translation Yunjie Chen Marius Staring O. M. Neve Stephan R. Romeijn Erik F. Hensen Berit M. Verbist J. Wolterink Qian Tao DiffM MedIm 32 3 0 06 Sep 2023
Multi-modal Learning with Missing Modality via Shared-Specific Feature Modelling Hu Wang Yuanhong Chen Congbo Ma Jodie Avery Louise Hull G. Carneiro 33 80 0 26 Jul 2023
Modality-Agnostic Learning for Medical Image Segmentation Using Multi-modality Self-distillation Qisheng He Nicholas Summerfield Ming Dong C. Glide-Hurst 29 1 0 06 Jun 2023
CAFS: Class Adaptive Framework for Semi-Supervised Semantic Segmentation Jingi Ju Hyeoncheol Noh Yooseung Wang Min-seok Seo Dong-Geol Choi 42 4 0 21 Mar 2023
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation Aishik Konwer Xiaoling Hu Joseph Bae Xuanang Xu Chaoyu Chen Prateek Prasanna 32 16 0 08 Feb 2023
DIGEST: Deeply supervIsed knowledGE tranSfer neTwork learning for brain tumor segmentation with incomplete multi-modal MRI scans Haoran Li Cheng Li Weijian Huang Xiawu Zheng Yantao Xi Shanshan Wang MedIm 28 2 0 15 Nov 2022
$$\mathcal{X}$-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing$ $\mathcal{X}$ -Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing Xinzhe Luo Xiahai Zhuang 30 24 0 03 Nov 2022
Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation Brennan Nichyporuk Jillian Cardinell Justin Szeto Raghav Mehta Jean-Pierre Falet Douglas L. Arnold Sotirios A. Tsaftaris Tal Arbel 24 7 0 31 Oct 2022
Feature-enhanced Generation and Multi-modality Fusion based Deep Neural Network for Brain Tumor Segmentation with Missing MR Modalities Tongxue Zhou S. Canu P. Vera S. Ruan MedIm 41 42 0 08 Nov 2021
Improving Tuberculosis (TB) Prediction using Synthetically Generated Computed Tomography (CT) Images Ashia Lewis Evanjelin Mahmoodi Yuyue Zhou Megan Coffee Elena Sizikova LM&MA 38 9 0 23 Sep 2021
Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation Yao Zhang Jiawei Yang Jiang Tian Zhongchao Shi Cheng Zhong Yang Zhang Zhiqiang He 37 90 0 21 Jul 2021
Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation M. Hamghalam Alejandro F. Frangi Baiying Lei Amber L. Simpson 25 23 0 07 Jul 2021
ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities Yixin Wang Yang Zhang Yang Liu Zihao Lin Jiang Tian Cheng Zhong Zhongchao Shi Jianping Fan Zhiqiang He 24 68 0 28 Jun 2021
Knowledge distillation from multi-modal to mono-modal segmentation networks Minhao Hu Matthis Maillard Ya Zhang Tommaso Ciceri Giammarco La Barbera Isabelle Bloch Pietro Gori 23 127 0 17 Jun 2021
Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications Yang Ma Chaoyi Zhang Mariano Cabezas Yang Song Zihao Tang Dongnan Liu Weidong (Tom) Cai M. Barnett Chenyu Wang 21 35 0 20 Apr 2021
Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities Tongxue Zhou S. Canu P. Vera S. Ruan 27 141 0 13 Apr 2021
HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images Saverio Vadacchino Raghav Mehta N. Sepahvand Brennan Nichyporuk James J. Clark Tal Arbel MedIm 29 14 0 30 Mar 2021
Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised CNN-Based Methods H. Zhang I. Oguz 30 14 0 12 Dec 2020
Conditional Generation of Medical Images via Disentangled Adversarial Inference Mohammad Havaei Ximeng Mao Yiping Wang Qicheng Lao GAN MedIm 28 20 0 08 Dec 2020
Cross-Modal Information Maximization for Medical Imaging: CMIM Tristan Sylvain Francis Dutil T. Berthier Lisa Di-Jorio Margaux Luck Devon Hjelm Yoshua Bengio 17 6 0 20 Oct 2020
ivadomed: A Medical Imaging Deep Learning Toolbox C. Gros A. Lemay Olivier Vincent Lucas Rouhier Anthime Bucquet Joseph Paul Cohen Julien Cohen-Adad LM&MA MedIm 27 15 0 20 Oct 2020
Multi-Domain Image Completion for Random Missing Input Data Liyue Shen Wentao Zhu Xiaosong Wang Lei Xing John M. Pauly ... Thomas Sanford Sherif Mehralivand Peter L. Choyke Bradford J. Wood Daguang Xu MedIm 18 69 0 10 Jul 2020
Medical-based Deep Curriculum Learning for Improved Fracture Classification Amelia Jiménez-Sánchez Diana Mateus S. Kirchhoff C. Kirchhoff P. Biberthaler Nassir Navab M. A. G. Ballester Gemma Piella 16 48 0 01 Apr 2020
A Learning Strategy for Contrast-agnostic MRI Segmentation Benjamin Billot Douglas N. Greve Koen van Leemput Bruce Fischl Juan Eugenio Iglesias Adrian Dalca 15 77 0 04 Mar 2020
Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays Mohammad Hashir H. Bertrand Joseph Paul Cohen 20 24 0 07 Feb 2020
Brain MRI Tumor Segmentation with Adversarial Networks E. Giacomello Daniele Loiacono L. Mainardi GAN MedIm 24 6 0 07 Oct 2019
Multi-modal segmentation with missing MR sequences using pre-trained fusion networks Karin A. van Garderen M. Smits S. Klein MedIm 27 7 0 25 Sep 2019
Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation R. Dorent Samuel Joutard Marc Modat Sébastien Ourselin Tom Kamiel Magda Vercauteren MedIm 33 118 0 25 Jul 2019
Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network Anmol Sharma Ghassan Hamarneh MedIm GAN 31 170 0 27 Apr 2019
Brain Tumor Segmentation on MRI with Missing Modalities Yan Shen Mingchen Gao 19 78 0 15 Apr 2019
Joint Learning of Brain Lesion and Anatomy Segmentation from Heterogeneous Datasets Nicolas Roulet D. Slezak Enzo Ferrante 13 11 0 08 Mar 2019
Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems Ahmed Taha Yi-Ting Chen Xitong Yang Teruhisa Misu L. Davis UQCV 28 9 0 23 Jan 2019
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge Spyridon Bakas M. Reyes Andras Jakab Stefan Bauer Markus Rempfler ... Jayashree Kalpathy-Cramer Keyvan Farahani Christos Davatzikos Koen van Leemput Bjoern H. Menze 88 1,612 0 05 Nov 2018
RS-Net: Regression-Segmentation 3D CNN for Synthesis of Full Resolution Missing Brain MRI in the Presence of Tumours Raghav Mehta Tal Arbel MedIm 3DV 19 22 0 28 Jul 2018
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases Xiaosong Wang Yifan Peng Le Lu Zhiyong Lu M. Bagheri Ronald M. Summers LM&MA 75 2,474 0 05 May 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 349 10,639 0 19 Feb 2017
Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities Mohsen Ghafoorian N. Karssemeijer Tom Heskes I. V. Uden C. I. Sánchez G. Litjens F.‐E. Leeuw Bram van Ginneken E. Marchiori B. Platel SSeg 23 236 0 16 Oct 2016
Deep learning trends for focal brain pathology segmentation in MRI Mohammad Havaei N. Guizard Hugo Larochelle Pierre-Marc Jodoin OOD 22 83 0 18 Jul 2016