A Survey on Deep Learning in Medical Image Analysis

19 February 2017

Bram van Ginneken

Papers citing "A Survey on Deep Learning in Medical Image Analysis"

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Title
Constrained domain adaptation for Image segmentation M. Bateson Jose Dolz H. Kervadec H. Lombaert Ismail Ben Ayed GAN 26 25 0 08 Aug 2019
AttentionBoost: Learning What to Attend by Boosting Fully Convolutional Networks G. N. Gunesli C. Sokmensuer Cigdem Demir 25 1 0 06 Aug 2019
Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation Cheng Li Hui Sun Zaiyi Liu Meiyun Wang Hairong Zheng Shanshan Wang 30 44 0 06 Aug 2019
Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Charles B. Delahunt Mayoore S. Jaiswal M. Horning Samantha Janko Clay M. Thompson ... Elizabeth Villasis K. Tun Christine M Bachman David Bell C. Mehanian 19 18 0 05 Aug 2019
Knee menisci segmentation and relaxometry of 3D ultrashort echo time (UTE) cones MR imaging using attention U-Net with transfer learning Michal Byra Mei Wu Xiaodong Zhang H. Jang Yajun Ma Eric Chang Sameer Shah Jiang Du 22 0 0 05 Aug 2019
U-Net Fixed-Point Quantization for Medical Image Segmentation Mohammadhossein Askarihemmat S. Honari Lucas Rouhier C. Perone Julien Cohen-Adad Yvon Savaria J. David MQ 30 30 0 02 Aug 2019
An amplified-target loss approach for photoreceptor layer segmentation in pathological OCT scans J. Orlando Anna Breger Hrvoje Bogunović Sophie Riedl Bianca S. Gerendas Martin Ehler U. Schmidt-Erfurth MedIm 10 4 0 02 Aug 2019
A Survey on Deep Learning of Small Sample in Biomedical Image Analysis Pengyi Zhang Yunxin Zhong Yulin Deng Xiaoying Tang Xiaoqiong Li 30 32 0 01 Aug 2019
Multiparametric Deep Learning Tissue Signatures for Muscular Dystrophy: Preliminary Results Alex E. Bocchieri V. Parekh K. Wagner Vladimir Braverman D. Leung M. Jacobs MedIm 19 3 0 01 Aug 2019
Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement Ryutaro Tanno Daniel E. Worrall Enrico Kaden Aurobrata Ghosh Francesco Grussu A. Bizzi S. Sotiropoulos A. Criminisi Daniel C. Alexander MedIm DiffM 32 33 0 31 Jul 2019
Automatic Registration between Cone-Beam CT and Scanned Surface via Deep-Pose Regression Neural Networks and Clustered Similarities Minyoung Chung Jingyu Lee Wisoo Song Youngchan Song I. Yang Jeongjin Lee Y. Shin 31 24 0 29 Jul 2019
Accurate and Robust Pulmonary Nodule Detection by 3D Feature Pyramid Network with Self-supervised Feature Learning Jingya Liu Liangliang Cao O. Akin Yingli Tian OOD 24 12 0 25 Jul 2019
Is Texture Predictive for Age and Sex in Brain MRI? Nick Pawlowski Ben Glocker 3DH MedIm 30 9 0 25 Jul 2019
Improving Malaria Parasite Detection from Red Blood Cell using Deep Convolutional Neural Networks Aimon Rahman H. Zunair Mohammad Sohel Rahman Jesia Quader Yuki S. Biswas Md. Ashraful Alam N. Alam M. Mahdy 35 56 0 23 Jul 2019
Semi-Supervised Learning by Disentangling and Self-Ensembling Over Stochastic Latent Space P. Gyawali Zhiyuan Li S. Ghimire Linwei Wang 22 20 0 22 Jul 2019
Automatic detection of rare pathologies in fundus photographs using few-shot learning G. Quellec M. Lamard Pierre-Henri Conze P. Massin B. Cochener 36 76 0 22 Jul 2019
A-Phase classification using convolutional neural networks E. Arce-Santana A. Alba M. Méndez V. Arce-Guevara 27 10 0 22 Jul 2019
Automated Gleason Grading of Prostate Biopsies using Deep Learning W. Bulten H. Pinckaers H. V. van Boven R. Vink Thomas de Bel Bram van Ginneken J. A. van der Laak C. Hulsbergen–van de Kaa G. Litjens 25 449 0 18 Jul 2019
Unsupervised Task Design to Meta-Train Medical Image Classifiers Gabriel Maicas Cuong C. Nguyen F. Motlagh Jacinto C. Nascimento G. Carneiro 6 4 0 17 Jul 2019
Understanding Deep Learning Techniques for Image Segmentation Swarnendu Ghosh N. Das Ishita Das U. Maulik SSeg VLM 22 370 0 13 Jul 2019
Disease classification of macular Optical Coherence Tomography scans using deep learning software: validation on independent, multi-centre data K. Bhatia M. Graham Louise Terry Ashley Wood P. Tranos S. Trikha Nicolas Jaccard 14 17 0 11 Jul 2019
Deadeye Visualization Revisited: Investigation of Preattentiveness and Applicability in Virtual Environments A. Krekhov S. Cmentowski A. Waschk Jens Kruger 22 22 0 10 Jul 2019
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation Alain Jungo M. Reyes UQCV 30 134 0 07 Jul 2019
Prior Activation Distribution (PAD): A Versatile Representation to Utilize DNN Hidden Units L. Meegahapola Vengateswaran Subramaniam Lance M. Kaplan Archan Misra 28 2 0 05 Jul 2019
HyperNOMAD: Hyperparameter optimization of deep neural networks using mesh adaptive direct search Dounia Lakhmiri Sébastien Le Digabel C. Tribes 3DH 31 23 0 03 Jul 2019
Explainable Anatomical Shape Analysis through Deep Hierarchical Generative Models C. Biffi Juan J. Cerrolaza G. Tarroni Wenjia Bai A. de Marvao ... Jinming Duan S. Prasad S. Cook D. O’Regan Daniel Rueckert MedIm 23 46 0 28 Jun 2019
Classification of glomerular hypercellularity using convolutional features and support vector machine Paulo Chagas Luiz Souza I. Araújo N. Aldeman A. Duarte M. Angelo Washington L. C. dos-Santos Luciano Oliveira 11 59 0 28 Jun 2019
Adversarial optimization for joint registration and segmentation in prostate CT radiotherapy Mohamed S. Elmahdy J. Wolterink Hessam Sokooti Ivana Išgum Marius Staring MedIm 33 26 0 28 Jun 2019
A Deep Regression Model for Seed Identification in Prostate Brachytherapy Yading Yuan R. Sheu L. Fu Y. Lo MedIm 14 3 0 24 Jun 2019
Semi-Supervised Learning for Cancer Detection of Lymph Node Metastases Amit Kumar Jaiswal Ivan Panshin D. Shulkin Nagender Aneja Samuel Abramov SSL MedIm 31 23 0 23 Jun 2019
Defending Against Adversarial Examples with K-Nearest Neighbor Chawin Sitawarin David Wagner AAML 11 29 0 23 Jun 2019
Learning to segment microscopy images with lazy labels Rihuan Ke Aurélie Bugeau Nicolas Papadakis Peter Schütz Carola-Bibiane Schönlieb 22 10 0 20 Jun 2019
Machine Learning Testing: Survey, Landscapes and Horizons Jie M. Zhang Mark Harman Lei Ma Yang Liu VLM AILaw 39 741 0 19 Jun 2019
The Worrisome Impact of an Inter-rater Bias on Neural Network Training Or Shwartzman Harel Gazit I. Shelef Tammy Riklin-Raviv 17 1 0 12 Jun 2019
Automatic brain tissue segmentation in fetal MRI using convolutional neural networks Nadieh Khalili Nikolas Lessmann Elise Turk N. Claessens R. Heus T. Kolk M. Viergever M. Benders I. Isgum 26 101 0 11 Jun 2019
Transfer Learning for Ultrasound Tongue Contour Extraction with Different Domains Mohammad Mozaffari Won-Sook Lee 12 5 0 10 Jun 2019
BowNet: Dilated Convolution Neural Network for Ultrasound Tongue Contour Extraction Mohammad Mozaffari Won-Sook Lee 24 8 0 10 Jun 2019
Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis Hyebin Lee S. T. Kim Yong Man Ro MedIm 29 44 0 10 Jun 2019
Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm Mateusz Buda Ashirbani Saha Maciej A. Mazurowski 68 265 0 09 Jun 2019
$Class-specific Differential Detection in Diffractive Optical Neural Networks Improves Inference Accuracy$ Class-specific Differential Detection in Diffractive Optical Neural Networks Improves Inference Accuracy Jingxi Li Deniz Mengu Yilin Luo Y. Rivenson Aydogan Ozcan 19 111 0 08 Jun 2019
Multi-scale self-guided attention for medical image segmentation Ashish Sinha Jose Dolz SSeg 31 413 0 07 Jun 2019
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation Zhuotun Zhu Chenxi Liu Dong Yang Alan Yuille Daguang Xu 31 105 0 06 Jun 2019
Learning Shape Representation on Sparse Point Clouds for Volumetric Image Segmentation F. Balsiger Yannick Soom Olivier Scheidegger M. Reyes 3DPC 19 15 0 05 Jun 2019
On the use of Pairwise Distance Learning for Brain Signal Classification with Limited Observations David Calhas E. Romero Rui Henriques 6 28 0 05 Jun 2019
A Feature Transfer Enabled Multi-Task Deep Learning Model on Medical Imaging F. Gao H. Yoon Teresa Wu Xianghua Chu 27 84 0 05 Jun 2019
A Nonlinear Acceleration Method for Iterative Algorithms Mahdi Shamsi M. Ghandi F. Marvasti 13 5 0 04 Jun 2019
BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference Peichen Xie Bingzhe Wu Guangyu Sun BDL FedML 19 33 0 03 Jun 2019
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends Saptarshi Sengupta Sanchita Basak P. Saikia Sayak Paul Vasilios Tsalavoutis Frederick Ditliac Atiah V. Ravi R. Peters AI4CE 37 327 0 30 May 2019
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT Philipp Seeböck J. Orlando T. Schlegl S. Waldstein Hrvoje Bogunović S. Klimscha Georg Langs U. Schmidt-Erfurth UQCV 24 134 0 29 May 2019
Style transfer-based image synthesis as an efficient regularization technique in deep learning Agnieszka Mikołajczyk M. Grochowski OOD 31 23 0 27 May 2019