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Autoregressive Sequence Modeling for 3D Medical Image Representation

13 September 2024

Papers citing "Autoregressive Sequence Modeling for 3D Medical Image Representation"

38 / 38 papers shown

Title
Autoregressive Models in Vision: A Survey Jing Xiong Gongye Liu Lun Huang Chengyue Wu Taiqiang Wu ... Hao Fei Guillermo Sapiro Jiebo Luo Ping Luo Ngai Wong VGen 191 14 0 08 Nov 2024
Automatic Organ and Pan-cancer Segmentation in Abdomen CT: the FLARE 2023 Challenge Jun Ma Yao Zhang Song Gu Cheng Ge Ershuai Wang Qin Zhou Ziyan Huang Pengju Lyu Jian He Bo Wang 89 15 0 22 Aug 2024
Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation Fei Gao Siwen Wang Fandong Zhang Hong-Yu Zhou Yizhou Wang Chu-ran Wang Gang Yu Yizhou Yu 58 1 0 03 Jun 2024
Scalable Pre-training of Large Autoregressive Image Models Alaaeldin El-Nouby Michal Klein Shuangfei Zhai Miguel Angel Bautista Alexander Toshev Vaishaal Shankar J. Susskind Armand Joulin VLM 105 80 0 16 Jan 2024
Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning Yiwen Ye Yutong Xie Jianpeng Zhang Ziyang Chen Qi Wu Yong-quan Xia CLL 64 19 0 29 Nov 2023
Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge Jun Ma Yu Zhang Song Gu Cheng Ge Shih-Ya Ma ... Qiongjie Zhu Guoqiang Dong Jian He the Flare Challenge Consortium Bohui Wang 78 70 0 10 Aug 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs) A. Kazerooni Nastaran Khalili Xinyang Liu Debanjan Haldar Zhifan Jiang ... Adam C. Resnick B. Rood A. Vossough Spyridon Bakas M. Linguraru 104 54 0 26 May 2023
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma D. Labella Maruf Adewole M. Alonso-Basanta Talissa Altes Syed Muhammad Anwar ... J. Rudie N. Tahon J. Villanueva-Meyer Benedikt Wiestler Evan Calabrese 77 31 0 12 May 2023
DINOv2: Learning Robust Visual Features without Supervision Maxime Oquab Timothée Darcet Théo Moutakanni Huy Q. Vo Marc Szafraniec ... Hervé Jégou Julien Mairal Patrick Labatut Armand Joulin Piotr Bojanowski VLM CLIP SSL 538 3,536 0 14 Apr 2023
UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation Learner Yiwen Ye Yutong Xie Jianpeng Zhang Ziyang Chen Yong-quan Xia SSL 103 43 0 07 Apr 2023
TotalSegmentator: robust segmentation of 104 anatomical structures in CT images Jakob Wasserthal H. Breit Manfred T. Meyer M. Pradella Daniel Hinck ... Daniel Boll Joshy Cyriac Shan Yang M. Bach Martin Segeroth OOD 71 775 0 11 Aug 2022
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset M. H. Petzsche Ezequiel de la Rosa U. Hanning Roland Wiest Waldo Enrique Valenzuela Pinilla ... Ruisheng Su M. Berndt B. Ikenberg Benedikt Wiestler Jan S. Kirschke OOD 63 122 0 14 Jun 2022
Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy Tong Zhang Congpei Qiu Wei Ke Sabine Süsstrunk Mathieu Salzmann SSL 108 39 0 31 Mar 2022
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision Priya Goyal Quentin Duval Isaac Seessel Mathilde Caron Ishan Misra Levent Sagun Armand Joulin Piotr Bojanowski VLM SSL 139 111 0 16 Feb 2022
SimMIM: A Simple Framework for Masked Image Modeling Zhenda Xie Zheng Zhang Yue Cao Yutong Lin Jianmin Bao Zhuliang Yao Qi Dai Han Hu 254 1,376 0 18 Nov 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 753 7,885 0 11 Nov 2021
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification Jiancheng Yang Rui Shi D. Wei Zequan Liu Lin Zhao B. Ke Hanspeter Pfister Bingbing Ni VLM 328 709 0 27 Oct 2021
Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts Hong-Yu Zhou Chi-Ken Lu Sibei Yang Xiaoguang Han Yizhou Yu SSL CLL 105 87 0 09 Sep 2021
nnFormer: Interleaved Transformer for Volumetric Segmentation Hong-Yu Zhou J. Guo Yinghao Zhang Lequan Yu Liansheng Wang Yizhou Yu ViT MedIm 102 335 0 07 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 1.0K 6,154 0 29 Apr 2021
An Empirical Study of Training Self-Supervised Vision Transformers Xinlei Chen Saining Xie Kaiming He ViT 185 1,875 0 05 Apr 2021
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem? Jun Ma Yao Zhang Song Gu Cheng Zhu Cheng Ge ... Shangqing Liu Yunpeng Wang Yuhui Li Jian He Xiaoping Yang SSeg OOD 123 347 0 28 Oct 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 775 41,930 0 22 Oct 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 448 18,999 0 13 Feb 2020
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images Anjany Sekuboyina M. Husseini Amirhossein Bayat Maximilian Löffler Hans Liebl ... Ben Glocker A. Valentinitsch Markus Rempfler Bjorn H. Menze Jan S. Kirschke 100 260 0 24 Jan 2020
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 275 12,183 0 13 Nov 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation Nima Tajbakhsh Laura Jeyaseelan Q. Li J. Chiang Zhihao Wu Xiaowei Ding 172 770 0 27 Aug 2019
Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation Lequan Yu Shujun Wang Xuelong Li Chi-Wing Fu Pheng-Ann Heng UQCV 95 861 0 16 Jul 2019
Elastic Boundary Projection for 3D Medical Image Segmentation Tianwei Ni Lingxi Xie Huangjie Zheng Elliot K. Fishman Alan Yuille 93 34 0 03 Dec 2018
An application of cascaded 3D fully convolutional networks for medical image segmentation H. Roth H. Oda Xiangrong Zhou N. Shimizu Ying Yang Y. Hayashi M. Oda M. Fujiwara K. Misawa K. Mori 68 274 0 14 Mar 2018
Joint Learning for Pulmonary Nodule Segmentation, Attributes and Malignancy Prediction Botong Wu Zhen Zhou Jianwei Wang Yizhou Wang 72 120 0 10 Feb 2018
Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks Jia Ding Aoxue Li Zhiqiang Hu Liwei Wang MedIm 83 346 0 14 Jun 2017
Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task Learning Sarfaraz Hussein K. Cao Qi Song Ulas Bagci 60 158 0 28 Apr 2017
Deep Learning for Multi-Task Medical Image Segmentation in Multiple Modalities P. Moeskops J. Wolterink Bas H. M. van der Velden K. Gilhuijs T. Leiner M. Viergever Ivana Išgum SSeg 70 314 0 11 Apr 2017
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation Özgün Çiçek Ahmed Abdulkadir S. Lienkamp Thomas Brox Olaf Ronneberger 3DV 3DPC SSeg 3DH 321 6,597 0 21 Jun 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation Fausto Milletari Nassir Navab Seyed-Ahmad Ahmadi 395 8,767 0 15 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.7K 195,268 0 10 Dec 2015
A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations H. Roth Le Lu Ari Seff Kevin M. Cherry Joanne Hoffman Shijun Wang Jiamin Liu E. Turkbey Ronald M. Summers MedIm 89 544 0 06 Jun 2014