U-Net: Convolutional Networks for Biomedical Image Segmentation

18 May 2015

Thomas Brox

Papers citing "U-Net: Convolutional Networks for Biomedical Image Segmentation"

50 / 7,784 papers shown

Title
SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects Xue Yang Jirui Yang Kun Fu Yue Zhang Tengfei Zhang Zhi Guo M. Yan Kun Fu ObjD 16 44 0 17 Nov 2018
Selective Feature Connection Mechanism: Concatenating Multi-layer CNN Features with a Feature Selector Chen Du Chunheng Wang Yanna Wang Cunzhao Shi Baihua Xiao 14 42 0 15 Nov 2018
Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for Limited Angle Computed Tomography T. Bubba Gitta Kutyniok Matti Lassas M. März Wojciech Samek S. Siltanen Vignesh Srinivasan 8 136 0 12 Nov 2018
Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net Hongwei Bran Li A. Zhygallo Bjoern H. Menze SSeg 9 20 0 10 Nov 2018
Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks Yuankai Huo Zhoubing Xu Shunxing Bao Camilo Bermudez Hyeonsoo Moon ... T. Moyo M. Savona A. Assad R. Abramson Bennett A. Landman 29 46 0 09 Nov 2018
Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods? Deepak Mishra Atul Padole AP Prathosh Aravind Jayendran R. Khera Varun Srivastava S. Chaudhury Ge Wang OOD 3DV 14 322 0 08 Nov 2018
Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow Ben Green H. Delingette N. Ayache 22 83 0 08 Nov 2018
ColorUNet: A convolutional classification approach to colorization Zhihui Zhu Matthieu de Rochemonteix Marc Thibault 4 6 0 07 Nov 2018
Attentive Filtering Networks for Audio Replay Attack Detection Cheng-I Jeff Lai A. Abad Korin Richmond Junichi Yamagishi Najim Dehak Simon King AAML 28 80 0 31 Oct 2018
SDFN: Segmentation-based Deep Fusion Network for Thoracic Disease Classification in Chest X-ray Images Han Liu Lei Wang Y. Nan F. Jin Qi Wang J. Pu 81 94 0 30 Oct 2018
A Volumetric Convolutional Neural Network for Brain Tumor Segmentation Ryan Sherman 19 4 0 27 Oct 2018
Adversarial Semantic Scene Completion from a Single Depth Image Yida Wang D. Tan Nassir Navab Federico Tombari 3DPC 9 32 0 25 Oct 2018
AUNet: Attention-guided dense-upsampling networks for breast mass segmentation in whole mammograms Hui Sun Cheng Li Boqiang Liu Hairong Zheng David Dagan Feng Shanshan Wang 19 120 0 24 Oct 2018
Single Image Haze Removal using a Generative Adversarial Network N. BharathRaj N. Venkateswaran GAN 19 40 0 22 Oct 2018
LadderNet: Multi-path networks based on U-Net for medical image segmentation Juntang Zhuang SSeg MedIm 14 228 0 17 Oct 2018
Salient Object Detection in Video using Deep Non-Local Neural Networks Mohammad Shokri Ahad Harati Kimya Taba 14 32 0 16 Oct 2018
A Multi-stage Framework with Context Information Fusion Structure for Skin Lesion Segmentation Yujiao Tang Feng Yang Shaofeng Yuan C. Zhan 7 42 0 16 Oct 2018
Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities Jose Dolz Ismail Ben Ayed Christian Desrosiers 8 100 0 16 Oct 2018
Learning to Segment Corneal Tissue Interfaces in OCT Images T. Mathai K. Lathrop J. Galeotti 13 20 0 15 Oct 2018
Deep learning-based super-resolution in coherent imaging systems Tairan Liu Kevin de Haan Y. Rivenson Zhensong Wei Xin Zeng Yibo Zhang Aydogan Ozcan SupR 17 126 0 15 Oct 2018
Fine-Grained Classification of Cervical Cells Using Morphological and Appearance Based Convolutional Neural Networks Haoming Lin Yuyang Hu Siping Chen Jianhua Yao Ling Zhang 9 87 0 14 Oct 2018
Cloud Detection Algorithm for Remote Sensing Images Using Fully Convolutional Neural Networks S. Mohajerani Thomas A. Krammer Parvaneh Saeedi 14 95 0 13 Oct 2018
The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems R. Krajewski Julian Bock Laurent Kloeker L. Eckstein 9 972 0 11 Oct 2018
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation Chaowei Xiao Ruizhi Deng Bo-wen Li F. I. F. Richard Yu M. Liu D. Song AAML 11 99 0 11 Oct 2018
A Novel Domain Adaptation Framework for Medical Image Segmentation A. Gholami Shashank Subramanian Varun Shenoy Naveen Himthani Xiangyu Yue Sicheng Zhao Peter H. Jin George Biros Kurt Keutzer MedIm 27 50 0 11 Oct 2018
Learning Deep Representations for Semantic Image Parsing: a Comprehensive Overview Lili Huang Jiefeng Peng Ruimao Zhang Guanbin Li Liang Lin VLM SSL SSeg 31 12 0 10 Oct 2018
Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation Micah J. Sheller G. A. Reina Brandon Edwards Jason Martin Spyridon Bakas FedML 14 456 0 10 Oct 2018
Selective Distillation of Weakly Annotated GTD for Vision-based Slab Identification System Sang Jun Lee Sang Woo Kim Wookyong Kwon Gyogwon Koo J. Yun 19 9 0 09 Oct 2018
Glioma Segmentation with Cascaded Unet Dmitrii Lachinov Evgeny Vasiliev Vadim Turlapov 13 54 0 09 Oct 2018
UOLO - automatic object detection and segmentation in biomedical images Teresa Araújo Guilherme Aresta Adrian Galdran P. Costa A. Mendonça A. Campilho 16 23 0 09 Oct 2018
Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation Mina Rezaei Haojin Yang Christoph Meinel GAN SSeg MedIm 19 21 0 09 Oct 2018
Light-Weight RefineNet for Real-Time Semantic Segmentation Vladimir Nekrasov Chunhua Shen Ian Reid SSeg VLM 17 147 0 08 Oct 2018
Task-Embedded Control Networks for Few-Shot Imitation Learning Stephen James Michael Bloesch Andrew J. Davison 13 134 0 08 Oct 2018
Deep Geodesic Learning for Segmentation and Anatomical Landmarking N. Torosdagli D. Liberton P. Verma M. Sincan Janice S. Lee Ulas Bagci 12 107 0 06 Oct 2018
End-to-end Networks for Supervised Single-channel Speech Separation Shrikant Venkataramani Paris Smaragdis 19 10 0 05 Oct 2018
Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer Ashnil Kumar M. Fulham D. Feng Jinman Kim MedIm 22 165 0 05 Oct 2018
Progressive Feature Fusion Network for Realistic Image Dehazing Kangfu Mei Aiwen Jiang Juncheng Li Mingwen Wang 6 107 0 04 Oct 2018
Extreme Augmentation : Can deep learning based medical image segmentation be trained using a single manually delineated scan? Bilwaj Gaonkar Matthew Edwards Alex A. T. Bui Matthew A. Brown Luke Macyszyn 13 7 0 03 Oct 2018
DeepCMB: Lensing Reconstruction of the Cosmic Microwave Background with Deep Neural Networks J. Caldeira W. L. K. Wu Brian D. Nord Camille Avestruz Shubhendu Trivedi K. Story 6 63 0 02 Oct 2018
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation Fabian Isensee Jens Petersen André Klein David Zimmerer Paul F. Jaeger ... Jakob Wasserthal Gregor Koehler T. Norajitra Sebastian J. Wirkert Klaus H. Maier-Hein SSeg 24 772 0 27 Sep 2018
No New-Net Fabian Isensee Philipp Kickingereder Wolfgang Wick Martin Bendszus Klaus H. Maier-Hein SSeg 9 394 0 27 Sep 2018
Deep Neural Networks for Pattern Recognition Kyongsik Yun Alexander Huyen Thomas Lu 13 30 0 25 Sep 2018
Chargrid: Towards Understanding 2D Documents Anoop R. Katti C. Reisswig Cordula Guder Sebastian Brarda S. Bickel Johannes Höhne Jean Baptiste Faddoul 13 191 0 24 Sep 2018
Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Yi Luo N. Mesgarani 11 1,746 0 20 Sep 2018
Generative Adversarial Network in Medical Imaging: A Review Xin Yi Ekta Walia P. Babyn GAN MedIm 31 1,369 0 19 Sep 2018
Deep Hybrid Scattering Image Learning Mu Yang Zhenghao Liu Ze-Di Cheng Jin-Shi Xu Chuan‐Feng Li G. Guo 6 29 0 19 Sep 2018
3D segmentation of mandible from multisectional CT scans by convolutional neural networks Bingjiang Qiu Jiapan Guo J. Kraeima R. Borra M. Witjes P. V. van Ooijen 18 9 0 18 Sep 2018
Multi Modal Convolutional Neural Networks for Brain Tumor Segmentation Mehmet Aygün Y. Sahin Gözde B. Ünal MedIm 8 21 0 17 Sep 2018
Devil in the Details: Towards Accurate Single and Multiple Human Parsing Tao Ruan Ting Liu Zilong Huang Yunchao Wei Shikui Wei Yao-Min Zhao Thomas Huang 21 246 0 17 Sep 2018
VoxelMorph: A Learning Framework for Deformable Medical Image Registration Guha Balakrishnan Amy Zhao M. Sabuncu John Guttag Adrian V. Dalca MedIm 15 1,542 0 14 Sep 2018