Holographic Visualisation of Radiology Data and Automated Machine Learning-based Medical Image Segmentation

15 August 2018

Papers citing "Holographic Visualisation of Radiology Data and Automated Machine Learning-based Medical Image Segmentation"

43 / 43 papers shown

Title
Impact of Biases in Big Data P. Glauner Petko Valtchev R. State HAI AI4CE 8 16 0 02 Mar 2018
On the Reduction of Biases in Big Data Sets for the Detection of Irregular Power Usage P. Glauner R. State Petko Valtchev Diogo Duarte 16 3 0 17 Jan 2018
Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks Bo Hu Ye Tang E. Chang Yubo Fan M. Lai Yan Xu GAN MedIm 47 90 0 30 Nov 2017
Detection-aided liver lesion segmentation using deep learning Míriam Bellver Kevis-Kokitsi Maninis Jordi Pont-Tuset Xavier Giró-i-Nieto Jordi Torres Luc Van Gool MedIm 77 49 0 29 Nov 2017
DeepRadiologyNet: Radiologist Level Pathology Detection in CT Head Images J. Merkow R. Lufkin Kim Nguyen Stefano Soatto Zhuowen Tu Andrea Vedaldi MedIm 30 17 0 26 Nov 2017
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning Pranav Rajpurkar Jeremy Irvin Kaylie Zhu Brandon Yang Hershel Mehta ... Aarti Bagul C. Langlotz K. Shpanskaya M. Lungren A. Ng LM&MA 78 2,699 0 14 Nov 2017
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes Xiaomeng Li Hao Chen Xiaojuan Qi Qi Dou Chi-Wing Fu Pheng Ann Heng 62 101 0 21 Sep 2017
Identifying Irregular Power Usage by Turning Predictions into Holographic Spatial Visualizations P. Glauner Niklas Dahringer Oleksandr Puhachov Jorge Augusto Meira Petko Valtchev R. State Diogo Duarte 29 8 0 09 Sep 2017
Real-time Geometry-Aware Augmented Reality in Minimally Invasive Surgery Long Chen Wen Tang N. John 31 29 0 03 Aug 2017
Multi-Planar Deep Segmentation Networks for Cardiac Substructures from MRI and CT Aliasghar Mortazi J. Burt Ulas Bagci 32 73 0 03 Aug 2017
SegAN: Adversarial Network with Multi-scale $L_1$ Loss for Medical Image Segmentation Yuan Xue Tao Xu Han Zhang L. R. Long Xiaolei Huang MedIm GAN 69 547 0 06 Jun 2017
Neural Network-Based Automatic Liver Tumor Segmentation With Random Forest-Based Candidate Filtering G. Chlebus H. Meine J. Moltz A. Schenk MedIm 38 68 0 02 Jun 2017
Automatic Liver Lesion Segmentation Using A Deep Convolutional Neural Network Method Xiao Han MedIm 78 157 0 24 Apr 2017
Automatic Liver Lesion Detection using Cascaded Deep Residual Networks Lei Bi Jinman Kim Ashnil Kumar Dagan Feng MedIm 58 82 0 10 Apr 2017
The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study P. Glauner Manxing Du Victor Paraschiv A. Boytsov Isabel Lopez Andrade Jorge Augusto Meira Petko Valtchev R. State 19 2 0 29 Mar 2017
A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes A. Hoogi John Lambert Yefeng Zheng Dorin Comaniciu D. Rubin MedIm 19 12 0 19 Mar 2017
Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks P. Christ Florian Ettlinger Felix Grün M. Elshaer Jana Lipkova ... Julian Holch Wieland Sommer R. Braren V. Heinemann Bjoern Menze MedIm 63 329 0 20 Feb 2017
Is Big Data Sufficient for a Reliable Detection of Non-Technical Losses? P. Glauner Angelo Migliosi Jorge Augusto Meira Petko Valtchev R. State Franck Bettinger 13 11 0 13 Feb 2017
Medical Image Synthesis with Context-Aware Generative Adversarial Networks Dong Nie Roger Trullo Caroline Petitjean S. Ruan Dinggang Shen GAN MedIm 76 686 0 16 Dec 2016
One-Shot Video Object Segmentation Sergi Caelles Kevis-Kokitsi Maninis Jordi Pont-Tuset Laura Leal-Taixé Daniel Cremers Luc Van Gool VOS 76 916 0 16 Nov 2016
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields P. Christ M. Elshaer Florian Ettlinger S. Tatavarty Marc Bickel ... Felix O. Hofmann M. D’Anastasi Wieland H. Sommer Seyed-Ahmad Ahmadi Bjoern Menze MedIm 55 633 0 07 Oct 2016
Deep Retinal Image Understanding Kevis-Kokitsi Maninis Jordi Pont-Tuset Pablo Arbeláez Luc Van Gool 112 508 0 05 Sep 2016
Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation Jianxu Chen Ling Yang Yizhe Zhang M. Alber Danny Chen 75 309 0 05 Sep 2016
3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes Qi Dou Hao Chen Yueming Jin Lequan Yu J. Qin Pheng-Ann Heng MedIm 76 345 0 03 Jul 2016
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation Özgün Çiçek Ahmed Abdulkadir S. Lienkamp Thomas Brox Olaf Ronneberger 3DV 3DPC SSeg 3DH 151 6,523 0 21 Jun 2016
Adaptive Local Window for Level Set Segmentation of CT and MRI Liver Lesions A. Hoogi C. Beaulieu G. Cunha Elhamy Heba C. Sirlin S. Napel D. Rubin 20 79 0 12 Jun 2016
The Challenge of Non-Technical Loss Detection using Artificial Intelligence: A Survey P. Glauner Jorge Augusto Meira Lautaro Dolberg R. State Franck Bettinger 26 206 0 02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 733 37,843 0 20 May 2016
Automatic 3D liver location and segmentation via convolutional neural networks and graph cut Fang Lu Fa Wu Peijun Hu Zhiyi Peng D. Kong MedIm 54 271 0 10 May 2016
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation Hao Chen Xiaojuan Qi Lequan Yu Pheng-Ann Heng MedIm 65 581 0 10 Apr 2016
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation Konstantinos Kamnitsas C. Ledig Virginia Newcombe Joanna P. Simpson A. D. Kane David Menon Daniel Rueckert Ben Glocker MedIm 3DV 130 3,056 0 18 Mar 2016
Large-Scale Detection of Non-Technical Losses in Imbalanced Data Sets P. Glauner Andre Boechat Lautaro Dolberg R. State Franck Bettinger Yves Rangoni Diogo Duarte 22 77 0 26 Feb 2016
Deep Learning For Smile Recognition P. Glauner CVBM 33 4 0 30 Jan 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,814 0 10 Dec 2015
Multi-Scale Context Aggregation by Dilated Convolutions Feng Yu V. Koltun SSeg 268 8,441 0 23 Nov 2015
Deep Convolutional Neural Networks for Smile Recognition P. Glauner CVBM 57 38 0 26 Aug 2015
Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Detection Kisuk Lee A. Zlateski Ashwin Vishwanathan H. S. Seung 3DV 47 59 0 20 Aug 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,099 0 18 May 2015
Brain Tumor Segmentation with Deep Neural Networks Mohammad Havaei Axel Davy David Warde-Farley A. Biard Aaron Courville Yoshua Bengio C. Pal Pierre-Marc Jodoin Hugo Larochelle 3DV 110 2,878 0 13 May 2015
Comparison of Training Methods for Deep Neural Networks P. Glauner 23 16 0 26 Apr 2015
Holistically-Nested Edge Detection Saining Xie Zhuowen Tu 127 3,493 0 24 Apr 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,330 0 04 Sep 2014
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials Philipp Krahenbuhl V. Koltun 126 3,453 0 20 Oct 2012