V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

15 June 2016

Fausto Milletari

Nassir Navab

Papers citing "V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation"

50 / 2,423 papers shown

Title
Improved Semantic Segmentation of Tuberculosis-consistent findings in Chest X-rays Using Augmented Training of Modality-specific U-Net Models with Weak Localizations S. Rajaraman L. Folio Jane Dimperio P. Alderson Sameer Kiran Antani 32 1 0 21 Feb 2021
Squeeze-and-Excitation Normalization for Automated Delineation of Head and Neck Primary Tumors in Combined PET and CT Images A. Iantsen D. Visvikis M. Hatt 75 59 0 20 Feb 2021
Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation Zeju Li Konstantinos Kamnitsas Ben Glocker SSeg UQCV 93 129 0 20 Feb 2021
CPP-Net: Context-aware Polygon Proposal Network for Nucleus Segmentation Shengcong Chen Changxing Ding Minfeng Liu Jun Cheng Dacheng Tao 85 50 0 13 Feb 2021
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation Michael Yeung Evis Sala Carola-Bibiane Schönlieb L. Rundo 93 417 0 08 Feb 2021
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation Jieneng Chen Yongyi Lu Qihang Yu Xiangde Luo Ehsan Adeli Yan Wang Le Lu Alan Yuille Yuyin Zhou ViT MedIm 100 3,518 0 08 Feb 2021
Instance and Panoptic Segmentation Using Conditional Convolutions Zhi Tian Bowen Zhang Hao Chen Chunhua Shen ISeg 121 42 0 05 Feb 2021
RoI Tanh-polar Transformer Network for Face Parsing in the Wild Yiming Lin Jie Shen Yujiang Wang Maja Pantic CVBM ViT 98 50 0 04 Feb 2021
Modeling the Probabilistic Distribution of Unlabeled Data forOne-shot Medical Image Segmentation Yuhang Ding Xin Yu Yi Yang OOD 60 36 0 03 Feb 2021
A Deep Learning-Based Approach to Extracting Periosteal and Endosteal Contours of Proximal Femur in Quantitative CT Images Yu Deng Ling Wang Chen Zhao Shao-jie Tang Xiao-guang Cheng Hong-Wen Deng Weihua Zhou 26 0 0 03 Feb 2021
Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted Loss Wenhui Lei Haochen Mei Zhengwentai Sun Shan Ye Ran Gu Huan Wang Rui Huang Shichuan Zhang Shaoting Zhang Guotai Wang 52 33 0 03 Feb 2021
aura-net : robust segmentation of phase-contrast microscopy images with few annotations E. Cohen V. Uhlmann 18 4 0 02 Feb 2021
Atlas-aware ConvNetfor Accurate yet Robust Anatomical Segmentation Yuan Liang Weinan Song Jiawei Yang Liang Qiu Kun Wang Lei He MedIm 37 3 0 02 Feb 2021
Densely Connected Recurrent Residual (Dense R2UNet) Convolutional Neural Network for Segmentation of Lung CT Images Kaushik Dutta SSeg 37 12 0 01 Feb 2021
Recurrent Localization Networks applied to the Lippmann-Schwinger Equation Conlain Kelly S. Kalidindi AI4CE 36 9 0 29 Jan 2021
Automated femur segmentation from computed tomography images using a deep neural network P. Bjornsson B. Helgason H. Pálsson S. Sigurðsson V. Gudnason L. M. Ellingsen OOD 21 7 0 27 Jan 2021
Automatic Segmentation of Gross Target Volume of Nasopharynx Cancer using Ensemble of Multiscale Deep Neural Networks with Spatial Attention Haochen Mei Wenhui Lei Ran Gu Shan Ye Zhengwentai Sun Shichuan Zhang Guotai Wang 74 23 0 27 Jan 2021
Reciprocal Landmark Detection and Tracking with Extremely Few Annotations Jianzhe Lin Ghazal Sahebzamani C. Luong F. Dezaki Mohammad Jafari Purang Abolmaesumi T. Tsang 63 4 0 27 Jan 2021
Nondiscriminatory Treatment: a straightforward framework for multi-human parsing Min Yan Guoshan Zhang Tong Zhang Yueming Zhang 30 3 0 26 Jan 2021
3D U-Net for segmentation of COVID-19 associated pulmonary infiltrates using transfer learning: State-of-the-art results on affordable hardware Keno K. Bressem S. Niehues B. Hamm Marcus R. Makowski J. Vahldiek Lisa Christine Adams 26 10 0 25 Jan 2021
Modern Machine and Deep Learning Systems as a way to achieve Man-Computer Symbiosis Chirag Gupta 62 0 0 24 Jan 2021
Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation Vien Ngoc Dang Francesco Galati Rosa Cortese G. Giacomo Viola Marconeto Pratek Mathur Karim Lekadir Marco Lorenzi F. Prados Maria A. Zuluaga MedIm 65 35 0 22 Jan 2021
Automatic Volumetric Segmentation of Additive Manufacturing Defects with 3D U-Net Vivian Wen Hui Wong M. Ferguson K. Law Y. T. Lee P. Witherell 3DPC 77 19 0 22 Jan 2021
Single Neuron Segmentation using Graph-based Global Reasoning with Auxiliary Skeleton Loss from 3D Optical Microscope Images Heng Wang Yang Song Chaoyi Zhang Jianhui Yu Siqi Liu Hanchuan Peng Weidong (Tom) Cai 3DV 57 9 0 22 Jan 2021
MPASNET: Motion Prior-Aware Siamese Network for Unsupervised Deep Crowd Segmentation in Video Scenes Jinhai Yang Hua Yang 3DPC 30 0 0 21 Jan 2021
Comparative Evaluation of 3D and 2D Deep Learning Techniques for Semantic Segmentation in CT Scans Abhishek Shivdeo R. Lokwani V. Kulkarni A. Kharat Aniruddha Pant 76 15 0 19 Jan 2021
Comparing Deep Learning strategies for paired but unregistered multimodal segmentation of the liver in T1 and T2-weighted MRI V. Couteaux Mathilde Trintignac O. Nempont G. Pizaine A. Vlachomitrou P. Valette L. Milot Isabelle Bloch 51 3 0 18 Jan 2021
Bladder segmentation based on deep learning approaches: current limitations and lessons M. Bandyk D. Gopireddy C. Lall K. Balaji Jose Dolz 35 0 0 16 Jan 2021
Self-Supervised Learning for Segmentation Abhinav Dhere J. Sivaswamy SSL 48 7 0 14 Jan 2021
Advancing Eosinophilic Esophagitis Diagnosis and Phenotype Assessment with Deep Learning Computer Vision W. Adorno A. Catalano L. Ehsan H. Eckstaedt B. Barnes E. McGowan Sana Syed Donald E. Brown 39 15 0 13 Jan 2021
MRI Images, Brain Lesions and Deep Learning D. Castillo Vasudevan Lakshminarayanan M. Rodríguez-Álvarez OOD 38 3 0 13 Jan 2021
Deep State Inference: Toward Behavioral Model Inference of Black-box Software Systems Foozhan Ataiefard Mohammad Jafar Mashhadi Hadi Hemmati Neil Walkinshaw MLAU 87 4 0 13 Jan 2021
CleftNet: Augmented Deep Learning for Synaptic Cleft Detection from Brain Electron Microscopy Yi Liu Shuiwang Ji 71 13 0 12 Jan 2021
A review for Tone-mapping Operators on Wide Dynamic Range Image Ziyi Liu 49 1 0 08 Jan 2021
HIVE-Net: Centerline-Aware HIerarchical View-Ensemble Convolutional Network for Mitochondria Segmentation in EM Images Zhimin Yuan Xiaofeng Ma Jiajin Yi Zhengrong Luo Jialin Peng 48 24 0 08 Jan 2021
Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac Segmentation Kang Li Shujun Wang Lequan Yu Pheng-Ann Heng 111 29 0 07 Jan 2021
Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation V. Nath Dong Yang Bennett A. Landman Daguang Xu H. Roth 125 72 0 07 Jan 2021
Reconstructing Patchy Reionization with Deep Learning E. Guzman Joel Meyers 60 5 0 04 Jan 2021
CovTANet: A Hybrid Tri-level Attention Based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans Tanvir Mahmud Md. Jahin Alam Sakib Chowdhury Shams Nafisa Ali Md. Maisoon Rahman Shaikh Anowarul Fattah Mohammad Saquib 25 39 0 03 Jan 2021
Combining unsupervised and supervised learning for predicting the final stroke lesion Adriano Pinto Sérgio Pereira Raphael Meier Roland Wiest Victor Alves M. Reyes Carlos Alberto Silva 80 26 0 02 Jan 2021
Multitask Learning for Class-Imbalanced Discourse Classification Alexander Spangher Jonathan May Sz-Rung Shiang Lingjia Deng 77 5 0 02 Jan 2021
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike? Jun Ma 127 25 0 01 Jan 2021
Loss Ensembles for Extremely Imbalanced Segmentation Jun Ma UQCV 26 1 0 31 Dec 2020
MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures Laura Mora Ballestar Verónica Vilaplana 58 36 0 30 Dec 2020
Annotation-Efficient Learning for Medical Image Segmentation based on Noisy Pseudo Labels and Adversarial Learning Lu Wang D. Guo Guotai Wang Shaoting Zhang MedIm GAN 60 30 0 29 Dec 2020
Cascaded Framework for Automatic Evaluation of Myocardial Infarction from Delayed-Enhancement Cardiac MRI Jun Ma 47 5 0 29 Dec 2020
Cascaded Convolutional Neural Network for Automatic Myocardial Infarction Segmentation from Delayed-Enhancement Cardiac MRI Yichi Zhang 85 24 0 28 Dec 2020
Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification Sulaiman Vesal Mingxuan Gu Andreas Maier Nishant Ravikumar 54 18 0 24 Dec 2020
MobileSal: Extremely Efficient RGB-D Salient Object Detection Yu-Huan Wu Yun-Hai Liu Jun Xu Jiawang Bian Yuchao Gu Ming-Ming Cheng 131 107 0 24 Dec 2020
EDN: Salient Object Detection via Extremely-Downsampled Network Yu-Huan Wu Yun-Hai Liu Le Zhang Ming-Ming Cheng Bo Ren 92 151 0 24 Dec 2020