Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation

18 March 2016

Konstantinos Kamnitsas

Papers citing "Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation"

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Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration Wenhao Li Qisen Xu Chuyun Shen Bin Hu Fengping Zhu Yuxin Li Bo Jin Xiangfeng Wang 30 5 0 15 Nov 2021
Feature-enhanced Generation and Multi-modality Fusion based Deep Neural Network for Brain Tumor Segmentation with Missing MR Modalities Tongxue Zhou S. Canu P. Vera S. Ruan MedIm 41 42 0 08 Nov 2021
Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival using a Full-Scale UNet with Attention Emmanuelle Bourigault Daniel R. McGowan A. Mehranian Bartlomiej W. Papie.z 46 22 0 06 Nov 2021
A Tri-attention Fusion Guided Multi-modal Segmentation Network Tongxue Zhou S. Ruan P. Vera S. Canu MedIm 35 45 0 02 Nov 2021
Deep Learning-based Segmentation of Cerebral Aneurysms in 3D TOF-MRA using Coarse-to-Fine Framework Meng Chen C. Geng Dongdong Wang Jiajun Zhang R. Di Fengmei Li Zhiyong Zhou Sirong Piao Yuxin Li Y. Dai 14 1 0 26 Oct 2021
An Automatic Detection Method Of Cerebral Aneurysms In Time-Of-Flight Magnetic Resonance Angiography Images Based On Attention 3D U-Net C. Geng Meng Chen R. Di Dongdong Wang Liqin Yang Wei Xia Yuxin Li D. Geng 17 4 0 26 Oct 2021
Natural Image Reconstruction from fMRI using Deep Learning: A Survey Zarina Rakhimberdina Quentin Jodelet Xin Liu T. Murata 3DV 127 29 0 18 Oct 2021
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation Alexandros Karargyris Renato Umeton Micah J. Sheller Alejandro Aristizabal Johnu George ... Poonam Yadav Michael Rosenthal M. Loda Jason M. Johnson Peter Mattson FedML 46 73 0 29 Sep 2021
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis from Lung CT Scans with Multi-Scale Guided Dense Attention Guotai Wang Shuwei Zhai G. Lasio Baoshe Zhang B. Yi Shifeng Chen T. MacVittie Dimitris N. Metaxas Jinghao Zhou Shaoting Zhang MedIm 50 66 0 29 Sep 2021
An End-to-End learnable Flow Regularized Model for Brain Tumor Segmentation Yan Shen Zhanghexuan Ji Mingchen Gao MedIm 16 0 0 01 Sep 2021
Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application B. Shirokikh A. Dalechina A. Shevtsov Egor Krivov V. Kostjuchenko A. Durgaryan M. Galkin A. Golanov Mikhail Belyaev 24 6 0 21 Aug 2021
Medical Image Segmentation with 3D Convolutional Neural Networks: A Survey S. Niyas S. Pawan Anand Kumar Jeny Rajan MedIm 53 83 0 19 Aug 2021
CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation Xinru Zhang Chenghao Liu N. Ou Xiangzhu Zeng Xiaoliang Xiong Yizhou Yu Zhiwen Liu Chuyang Ye 26 32 0 16 Aug 2021
Dilated Inception U-Net (DIU-Net) for Brain Tumor Segmentation D. Cahall Ghulam Rasool N. Bouaynaya Hassan M. Fathallah-Shaykh 32 6 0 15 Aug 2021
Automated Olfactory Bulb Segmentation on High Resolutional T2-Weighted MRI Santiago Estrada Ran Lu K. Diers W. Zeng P. Ehses T. Stöcker M. Breteler M. Reuter 21 11 0 09 Aug 2021
Uncertainty-Based Dynamic Graph Neighborhoods For Medical Segmentation U. Demir Atahan Ozer Y. Sahin Gözde B. Ünal 22 3 0 06 Aug 2021
Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation Brennan Nichyporuk Jillian Cardinell Justin Szeto Raghav Mehta Sotirios A. Tsaftaris Douglas L. Arnold Tal Arbel AI4CE 30 2 0 02 Aug 2021
Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data Loic Le Folgoc V. Baltatzis A. Alansary S. Desai A. Devaraj ... O. M. Manzanera F. Kanavati A. Nair Julia A. Schnabel Ben Glocker 13 0 0 31 Jul 2021
Recurrent U-net for automatic pelvic floor muscle segmentation on 3D ultrasound F. V. D. Noort B. Sirmaçek C. Slump 15 6 0 29 Jul 2021
SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining Benjamin Billot Douglas N. Greve Oula Puonti A. Thielscher Koen van Leemput Bruce Fischl Adrian Dalca Juan Eugenio Iglesias OOD MedIm 30 267 0 20 Jul 2021
Transductive image segmentation: Self-training and effect of uncertainty estimation Konstantinos Kamnitsas S. Winzeck E. Kornaropoulos Daniel Whitehouse Cameron Englman ... David Menon Daniel Rueckert T. Das Virginia Newcombe Ben Glocker MedIm 15 1 0 19 Jul 2021
Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification Talha Qaiser S. Winzeck Theodore Barfoot T. Barwick S. Doran ... N. Tunariu D. Koh C. Messiou A. Rockall Ben Glocker 16 8 0 16 Jul 2021
Learning from Partially Overlapping Labels: Image Segmentation under Annotation Shift Gregory Filbrandt Konstantinos Kamnitsas David Bernstein Alexandra N. Taylor Ben Glocker 41 3 0 13 Jul 2021
CASPIANET++: A Multidimensional Channel-Spatial Asymmetric Attention Network with Noisy Student Curriculum Learning Paradigm for Brain Tumor Segmentation Andre Liew C. Lee B. Lan Maxine Tan 19 11 0 08 Jul 2021
Challenges for machine learning in clinical translation of big data imaging studies Nicola K. Dinsdale Emma Bluemke V. Sundaresan M. Jenkinson Stephen Smith Ana I. L. Namburete AI4CE 40 41 0 07 Jul 2021
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification Ujjwal Baid S. Ghodasara S. Mohan Michel Bilello Evan Calabrese ... M. Weber A. Mahajan Bjoern H. Menze Adam Flanders Spyridon Bakas 44 608 0 05 Jul 2021
Uncertainty-Guided Progressive GANs for Medical Image Translation Uddeshya Upadhyay Yanbei Chen Tobias Hepp S. Gatidis Zeynep Akata MedIm 23 24 0 29 Jun 2021
ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities Yixin Wang Yang Zhang Yang Liu Zihao Lin Jiang Tian Cheng Zhong Zhongchao Shi Jianping Fan Zhiqiang He 24 68 0 28 Jun 2021
DINs: Deep Interactive Networks for Neurofibroma Segmentation in Neurofibromatosis Type 1 on Whole-Body MRI Jian-Wei Zhang Wei Chen K. I. Ly Xubin Zhang Fan Yan J. Jordan G. Harris S. Plotkin Pengyi Hao W. Cai 17 6 0 07 Jun 2021
Brain tumour segmentation using a triplanar ensemble of U-Nets V. Sundaresan L. Griffanti M. Jenkinson 17 14 0 24 May 2021
DFENet: A Novel Dimension Fusion Edge Guided Network for Brain MRI Segmentation Hritam Basak Rukhshanda Hussain A. Rana 26 12 0 17 May 2021
The Federated Tumor Segmentation (FeTS) Challenge Sarthak Pati Ujjwal Baid M. Zenk Brandon Edwards Micah J. Sheller ... Lena Maier-Hein Jens Kleesiek Bjoern H. Menze Klaus Maier-Hein Spyridon Bakas FedML OOD 49 72 0 12 May 2021
PocketNet: A Smaller Neural Network for Medical Image Analysis A. Celaya Jonas A. Actor Rajarajesawari Muthusivarajan Evan Gates C. Chung Dawid Schellingerhout B. Rivière David T. Fuentes SSeg MedIm 16 26 0 21 Apr 2021
Free-form tumor synthesis in computed tomography images via richer generative adversarial network Qiangguo Jin Hui Cui Changming Sun Zhaopeng Meng R. Su GAN MedIm 38 44 0 20 Apr 2021
Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities Tongxue Zhou S. Canu P. Vera S. Ruan 27 141 0 13 Apr 2021
An MRF-UNet Product of Experts for Image Segmentation Mikael Brudfors Yael Balbastre John Ashburner G. Rees P. Nachev Sébastien Ourselin M. Jorge Cardoso 13 3 0 12 Apr 2021
CNN Based Segmentation of Infarcted Regions in Acute Cerebral Stroke Patients From Computed Tomography Perfusion Imaging Luca Tomasetti K. Engan M. Khanmohammadi K. D. Kurz 9 4 0 07 Apr 2021
Synthesizing MR Image Contrast Enhancement Using 3D High-resolution ConvNets Chao Chen Catalina Raymond Bill Speier Xinyu Jin T. Cloughesy D. Enzmann B. Ellingson C. Arnold MedIm 16 37 0 04 Apr 2021
Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review Mingquan Lin Jacob F. Wynne Y. Lei Tonghe Wang W. Curran Tian Liu Xiaofeng Yang 35 24 0 25 Mar 2021
UNETR: Transformers for 3D Medical Image Segmentation Ali Hatamizadeh Yucheng Tang Vishwesh Nath Dong Yang Andriy Myronenko Bennett Landman H. Roth Daguang Xu ViT MedIm 95 1,535 0 18 Mar 2021
Automated liver tissues delineation techniques: A systematic survey on machine learning current trends and future orientations Ayman Al-Kababji F. Bensaali S. Dakua Yassine Himeur 36 21 0 10 Mar 2021
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient Florian Kofler Ivan Ezhov Fabian Isensee F. Balsiger Christoph Berger ... C. Zimmer D. Ankerst Jan Kirschke Benedikt Wiestler Bjoern H. Menze 31 51 0 10 Mar 2021
TransMed: Transformers Advance Multi-modal Medical Image Classification Yin Dai Yifan Gao ViT MedIm 38 281 0 10 Mar 2021
Deep and Statistical Learning in Biomedical Imaging: State of the Art in 3D MRI Brain Tumor Segmentation K. R. M. Fernando Cris P Tsokos 31 53 0 09 Mar 2021
Stabilized Medical Image Attacks Gege Qi Lijun Gong Yibing Song Kai Ma Yefeng Zheng OOD AAML MedIm 22 25 0 09 Mar 2021
Convolution-Free Medical Image Segmentation using Transformers Davood Karimi Serge Vasylechko Ali Gholipour ViT MedIm 84 121 0 26 Feb 2021
Unsupervised Brain Anomaly Detection and Segmentation with Transformers W. H. Pinaya Petru-Daniel Tudosiu Robert J. Gray G. Rees P. Nachev Sebastien Ourselin M. Jorge Cardoso ViT MedIm 22 59 0 23 Feb 2021
Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation Zeju Li Konstantinos Kamnitsas Ben Glocker SSeg UQCV 20 127 0 20 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 32 394 0 08 Feb 2021
3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint Tongxue Zhou S. Canu P. Vera S. Ruan MedIm 27 13 0 05 Feb 2021