3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

21 June 2016

Thomas Brox

Papers citing "3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation"

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GBT-SAM: Adapting a Foundational Deep Learning Model for Generalizable Brain Tumor Segmentation via Efficient Integration of Multi-Parametric MRI Data Cecilia Diana-Albelda Roberto Alcover-Couso Álvaro García-Martín Jesús Bescós Marcos Escudero-Viñolo 52 1 0 06 Mar 2025
Building 3D In-Context Learning Universal Model in Neuroimaging Jiesi Hu Hanyang Peng Yanwu Yang Xutao Guo Yang Shang P. Shi Chenfei Ye Ting Ma 72 0 0 04 Mar 2025
Revisiting CAD Model Generation by Learning Raster Sketch Pu Li Wenhao Zhang Jianwei Guo Jinglu Chen Dong-Ming Yan 3DV 39 0 0 02 Mar 2025
Conditional diffusion model with spatial attention and latent embedding for medical image segmentation Behzad Hejrati Soumyanil Banerjee C. Glide-Hurst Ming Dong DiffM MedIm 117 0 0 21 Feb 2025
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation Boqian Wu Q. Xiao Shiwei Liu Lu Yin Mykola Pechenizkiy Decebal Constantin Mocanu M. V. Keulen Elena Mocanu MedIm 65 4 0 20 Feb 2025
Intensity-Spatial Dual Masked Autoencoder for Multi-Scale Feature Learning in Chest CT Segmentation Yuexing Ding Jun Wang H. Lyu 91 0 0 17 Feb 2025
Universal Lesion Segmentation Challenge 2023: A Comparative Research of Different Algorithms Kaiwen Shi Yifei Li Binh Ho Jovian Wang Kobe Guo OOD 41 0 0 14 Feb 2025
A Novel Convolutional-Free Method for 3D Medical Imaging Segmentation Canxuan Gang MedIm ViT 64 0 0 08 Feb 2025
Coarse-to-Fine 3D Keyframe Transporter Xupeng Zhu David M. Klee Dian Wang Boce Hu Haojie Huang Arsh Tangri Robin Walters Robert W. Platt 83 0 0 03 Feb 2025
Multimodal MRI-Ultrasound AI for Prostate Cancer Detection Outperforms Radiologist MRI Interpretation: A Multi-Center Study Hassan Jahanandish Shengtian Sang Cynthia Xinran Li Sulaiman Vesal Indrani Bhattacharya Jeong Hoon Lee Richard E. Fan Geoffrey A. Sonna M. Rusu 46 0 0 31 Jan 2025
Motion-enhancement to Echocardiography Segmentation via Inserting a Temporal Attention Module: An Efficient, Adaptable, and Scalable Approach M. Hasan Guang Yang Choon Hwai Yap 44 0 0 28 Jan 2025
CLISC: Bridging clip and sam by enhanced cam for unsupervised brain tumor segmentation Xiaochuan Ma Jia Fu Wenjun Liao Shichuan Zhang Guotai Wang 37 0 0 28 Jan 2025
Automatic Labelling & Semantic Segmentation with 4D Radar Tensors Botao Sun Ignacio Roldan Francesco Fioranelli 47 0 0 20 Jan 2025
DX2CT: Diffusion Model for 3D CT Reconstruction from Bi or Mono-planar 2D X-ray(s) Yun Su Jeong Hye Bin Yoo Il Yong Chun DiffM MedIm 64 0 0 20 Jan 2025
Open-Source Manually Annotated Vocal Tract Database for Automatic Segmentation from 3D MRI Using Deep Learning: Benchmarking 2D and 3D Convolutional and Transformer Networks Subin Erattakulangara Karthika Kelat Katie Burnham Rachel Balbi Sarah E. Gerard David Meyer Sajan Goud Lingala 50 1 0 08 Jan 2025
ProKAN: Progressive Stacking of Kolmogorov-Arnold Networks for Efficient Liver Segmentation Bhavesh Gyanchandani Aditya Oza Abhinav Roy 35 1 0 27 Dec 2024
Advancing Deformable Medical Image Registration with Multi-axis Cross-covariance Attention Mingyuan Meng M. Fulham Lei Bi Jinman Kim OOD ViT MedIm 29 0 0 24 Dec 2024
UNet--: Memory-Efficient and Feature-Enhanced Network Architecture based on U-Net with Reduced Skip-Connections Lingxiao Yin Wei Tao Dongyue Zhao Tadayuki Ito Kinya Osa Masami Kato Tse-Wei Chen 38 0 0 24 Dec 2024
Automatic Left Ventricular Cavity Segmentation via Deep Spatial Sequential Network in 4D Computed Tomography Studies Yuyu Guo Lei Bi Zhengbin Zhu David Dagan Feng Ruiyan Zhang Qian Wang Jinman Kim 69 0 0 17 Dec 2024
DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image Segmentation Qingtao Pan Wenhao Qiao Jingjiao Lou Bing Ji Shuo Li VLM 90 0 0 17 Dec 2024
Mask Enhanced Deeply Supervised Prostate Cancer Detection on B-mode Micro-Ultrasound Lichun Zhang Steve Zhou Moon Hyung Choi Jeong Hoon Lee Shengtian Sang ... Wei Shao Ahmed N. El Kaffas Richard E. Fan G. Sonn M. Rusu MedIm 78 0 0 14 Dec 2024
HES-UNet: A U-Net for Hepatic Echinococcosis Lesion Segmentation Jiayan Chen Kai Li Zhanjin Wang Zhan Wang Jianqiang Huang 74 0 0 09 Dec 2024
Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything Y. Lee S. K. Panda Wei Wang M. Jawed 80 0 0 04 Dec 2024
End-to-end Triple-domain PET Enhancement: A Hybrid Denoising-and-reconstruction Framework for Reconstructing Standard-dose PET Images from Low-dose PET Sinograms C. Jiang Mianxin Liu Kaicong Sun Dinggang Shen MedIm 72 0 0 04 Dec 2024
Refine3DNet: Scaling Precision in 3D Object Reconstruction from Multi-View RGB Images using Attention Ajith Balakrishnan Sreeja S Linu Shine 3DV 72 0 0 01 Dec 2024
SPAgent: Adaptive Task Decomposition and Model Selection for General Video Generation and Editing Rong-Cheng Tu Wenhao Sun Zhao Jin Jingyi Liao Jiaxing Huang Dacheng Tao VGen DiffM 112 3 0 28 Nov 2024
An Ensemble Approach for Brain Tumor Segmentation and Synthesis Juampablo Heras Rivera Agamdeep Chopra Tianyi Ren Hitender Oswal Yutong Pan ... Akshay Jaikanth Pavan Kancharla Jacob Ruzevick Daniela Ushizima Mehmet Kurt 74 1 0 26 Nov 2024
Improving Deformable Image Registration Accuracy through a Hybrid Similarity Metric and CycleGAN Based Auto-Segmentation Keyur D. Shah J. Shackleford Nagarajan Kandasamy Gregory C. Sharp MedIm 59 1 0 25 Nov 2024
Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Arvind Murari Vepa Zukang Yang Andrew Choi Jungseock Joo Fabien Scalzo Yizhou Sun 3DPC 89 1 0 24 Nov 2024
Multimodal 3D Brain Tumor Segmentation with Adversarial Training and Conditional Random Field Lan Jiang Yuchao Zheng Miao Yu Haiqing Zhang Fatemah Aladwani Alessandro Perelli MedIm 76 0 0 21 Nov 2024
RibCageImp: A Deep Learning Framework for 3D Ribcage Implant Generation Gyanendra Chaubey Aiman Farooq Azad Singh Deepak Mishra 29 0 0 14 Nov 2024
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification Jannik Franzen Claudia Winklmayr Vanessa Emanuela Guarino Christoph Karg Xiaoyan Yu Nora Koreuber Jan P. Albrecht Philip Bischoff Dagmar Kainmueller 43 0 0 11 Nov 2024
Adaptive Whole-Body PET Image Denoising Using 3D Diffusion Models with ControlNet Boxiao Yu Kuang Gong MedIm AI4CE DiffM 36 1 0 08 Nov 2024
NeuroFly: A framework for whole-brain single neuron reconstruction Rubin Zhao Yang Liu Shiqi Zhang Zijian Yi Yanyang Xiao Fang Xu Yue Yang Pencheng Zhou 3DV 26 1 0 07 Nov 2024
Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation Tao Wang Xinlin Zhang Yuanbin Chen Yuanbo Zhou Longxuan Zhao T. Tan Tong Tong 24 0 0 07 Nov 2024
Self-supervised Representation Learning for Cell Event Recognition through Time Arrow Prediction Cangxiong Chen Vinay P. Namboodiri Julia E. Sero 44 0 0 06 Nov 2024
Building a Synthetic Vascular Model: Evaluation in an Intracranial Aneurysms Detection Scenario Rafic Nader F. Autrusseau V. Lállinec Romain Bourcier 40 2 0 04 Nov 2024
MBDRes-U-Net: Multi-Scale Lightweight Brain Tumor Segmentation Network Longfeng Shen Yanqi Hou Jiacong Chen Liangjin Diao Yaxi Duan 29 0 0 04 Nov 2024
Deep Multi-contrast Cardiac MRI Reconstruction via vSHARP with Auxiliary Refinement Network George Yiasemis N. Moriakov J. Sonke Jonas Teuwen 33 2 0 02 Nov 2024
Revisiting MAE pre-training for 3D medical image segmentation Tassilo Wald Constantin Ulrich Stanislav Lukyanenko Andrei Goncharov Alberto Paderno Leander Maerkisch Paul F. Jäger Paul F. Jäger Klaus Maier-Hein 53 2 0 30 Oct 2024
FANCL: Feature-Guided Attention Network with Curriculum Learning for Brain Metastases Segmentation Zijiang Liu Xiaoyu Liu Linhao Qu Yonghong Shi MedIm 31 0 0 29 Oct 2024
3D Distance-color-coded Assessment of PCI Stent Apposition via Deep-learning-based Three-dimensional Multi-object Segmentation Xiaoyang Qin Hao Huang Shuaichen Lin Xinhao Zeng Kaizhi Cao ... Yuming Huang J. Yang Yong Liu Gang Li Guangming Ni 24 0 0 26 Oct 2024
On Occlusions in Video Action Detection: Benchmark Datasets And Training Recipes Rajat Modi Vibhav Vineet Yogesh S Rawat 40 1 0 25 Oct 2024
Improving 3D Medical Image Segmentation at Boundary Regions using Local Self-attention and Global Volume Mixing Daniya Najiha Abdul Kareem M. Fiaz Noa Novershtern Jacob Hanna Hisham Cholakkal 44 4 0 20 Oct 2024
DAWN: Dynamic Frame Avatar with Non-autoregressive Diffusion Framework for Talking Head Video Generation Hanbo Cheng Limin Lin Chenyu Liu Pengcheng Xia Pengfei Hu Jiefeng Ma Jun Du Jia Pan DiffM VGen 225 0 0 17 Oct 2024
TCP-Diffusion: A Multi-modal Diffusion Model for Global Tropical Cyclone Precipitation Forecasting with Change Awareness Cheng Huang Pan Mu Cong Bai Peter AG Watson 31 1 0 17 Oct 2024
Dual-Teacher Ensemble Models with Double-Copy-Paste for 3D Semi-Supervised Medical Image Segmentation Zhan Fa Shumeng Li Jian Zhang Lei Qi Qian Yu Yinghuan Shi 45 0 0 15 Oct 2024
MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI Arya Tschand Arun Tejusve Raghunath Rajan S. Idgunji Anirban Ghosh J. Holleman ... Rowan Taubitz Sean Zhan Scott Wasson David Kanter Vijay Janapa Reddi 67 3 0 15 Oct 2024
Preserving Cardiac Integrity: A Topology-Infused Approach to Whole Heart Segmentation Chenyu Zhang Wenxue Guan Xiaodan Xing Guang Yang 35 1 0 14 Oct 2024
Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models Yule Wang Chengrui Li Weihan Li Anqi Wu DiffM 39 4 0 12 Oct 2024