Gianpaolo Carrafiello

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All published works

Action	Title	Year	Authors
+ PDF Chat	Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation	2022	Pengfei Guo Dong Yang Ali Hatamizadeh An Xu Ziyue Xu Wenqi Li Can Zhao Daguang Xu Stephanie A. Harmon Evrim Türkbey
+	Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation	2022	Pengfei Guo Dong Yang Ali Hatamizadeh An Xu Ziyue Xu Wenqi Li Can Zhao Daguang Xu Stephanie A. Harmon Evrim Türkbey
+	Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan	2021	Dong Yang Ziyue Xu Wenqi Li Andriy Myronenko Holger R. Roth Stephanie Harmon Sheng Xu Barış Türkbey Evrim Türkbey Xiaosong Wang
+	Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation	2021	Yingda Xia Dong Yang Wenqi Li Andriy Myronenko Daguang Xu Hirofumi Obinata Hitoshi Mori Peng An Stephanie A. Harmon Evrim Türkbey
+	Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan	2020	Dong Yang Ziyue Xu Wenqi Li Andriy Myronenko Holger R. Roth Stephanie A. Harmon Sheng Xu Barış Türkbey Evrim Türkbey Xiaosong Wang

Common Coauthors

Coauthor	Papers Together
Holger R. Roth	5
Daguang Xu	5
Bradford J. Wood	5
Evrim Türkbey	5
Francesca Patella	5
Wenqi Li	5
Barış Türkbey	5
Stephanie A. Harmon	4
Hirofumi Obinata	3
Andriy Myronenko	3
Elvira Stellato	3
Dong Yang	3
Ziyue Xu	3
Peng An	3
Hitoshi Mori	3
Can Zhao	2
Vishal M. Patel	2
Ali Hatamizadeh	2
Maurizio Cariati	2
Dong Yang	2
Xiaosong Wang	2
Wentao Zhu	2
Pengfei Guo	2
Sheng Xu	2
Kaku Tamura	2
Anna Maria Ierardi	1
An Xu	1
Alan Yuille	1
An Xu	1
Ziyue Xu	1
Stephanie Harmon	1
Yingda Xia	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Privacy-preserving Federated Brain Tumour Segmentation	2019	Wenqi Li Fausto Milletarì Daguang Xu Nicola Rieke Jonny Hancox Wentao Zhu Maximilian Baust Yan Cheng Sébastien Ourselin M. Jorge Cardoso	3
+ PDF Chat	Federated Learning: Challenges, Methods, and Future Directions	2020	Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith	3
+	Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation, and Diagnosis for COVID-19	2020	Feng Shi Jun Wang Jun Shi Ziyan Wu Qian Wang Zhenyu Tang Kelei He Yinghuan Shi Dinggang Shen	3
+	An automatic COVID-19 CT segmentation based on U-Net with attention mechanism	2020	Tongxue Zhou Stéphane Canu Su Ruan	2
+ PDF Chat	FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare	2020	Yiqiang Chen Xin Qin Jindong Wang Chaohui Yu Wen Gao	2
+	Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images	2020	Deng-Ping Fan Tao Zhou Ge-Peng Ji Yi Zhou Geng Chen Huazhu Fu Jianbing Shen Ling Shao	2
+	Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning	2020	Hengyuan Kang Liming Xia Fuhua Yan Zhibin Wan Feng Shi Huan Yuan Huiting Jiang Dijia Wu He Sui Changqing Zhang	2
+ PDF Chat	3D MRI Brain Tumor Segmentation Using Autoencoder Regularization	2019	Andriy Myronenko	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training	2020	Yingda Xia Fengze Liu Dong Yang Jinzheng Cai Lequan Yu Zhuotun Zhu Daguang Xu Alan Yuille Holger R. Roth	2
+	Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images	2020	Deng-Ping Fan Tao Zhou Ge-Peng Ji Yi Zhou Geng Chen Huazhu Fu Jianbing Shen Ling Shao	2
+	Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia	2020	Xi Ouyang Jiayu Huo Liming Xia Fei Shan Jun Liu Zhanhao Mo Fuhua Yan Zhongxiang Ding Qi Yang Bin Song	2
+ PDF Chat	Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning	2018	Yucen Luo Jun Zhu Mengxi Li Yong Ren Bo Zhang	2
+ PDF Chat	3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation	2016	Özgün Çiçek Ahmed Abdulkadir Soeren S. Lienkamp Thomas Brox Olaf Ronneberger	2
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	2
+	Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation	2018	Micah Sheller G. Anthony Reina Brandon Edwards Jason Martin Spyridon Bakas	2
+	Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model	2018	Xiaomeng Li Lequan Yu Hao Chen Chi‐Wing Fu Pheng‐Ann Heng	2
+	Regularized Evolution for Image Classifier Architecture Search	2019	Esteban Real Alok Aggarwal Yanping Huang Quoc V. Le	2
+	One-Shot Federated Learning	2019	Neel Guha Ameet Talwalkar Virginia Smith	2
+ PDF Chat	3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes	2018	Siqi Liu Daguang Xu S. Kevin Zhou Olivier Pauly Saša Grbić Thomas Mertelmeier Julia Wicklein Anna Jerebko Weidong Cai Dorin Comaniciu	2
+ PDF Chat	Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model	2020	Quande Liu Lequan Yu Luyang Luo Qi Dou Pheng‐Ann Heng	2
+ PDF Chat	Federated Learning for Breast Density Classification: A Real-World Implementation	2020	Holger R. Roth Ken Chang Praveer Singh Nir Neumark Wenqi Li Vikash Gupta Sharut Gupta Liangqiong Qu Alvin Ihsani Bernardo C. Bizzo	2
+	Improved Regularization of Convolutional Neural Networks with Cutout	2017	Terrance DeVries Graham W. Taylor	2
+ PDF Chat	Deep learning with mixed supervision for brain tumor segmentation	2019	Pawel Mlynarski Hervé Delingette Antonio Criminisi Nicholas Ayache	2
+	Interpolation Consistency Training for Semi-Supervised Learning	2019	Vikas Verma Kenji Kawaguchi Alex Lamb Juho Kannala Yoshua Bengio David López-Paz	2
+	Automatic <scp>COVID</scp>‐19 <scp>CT</scp> segmentation using <scp>U‐Net</scp> integrated spatial and channel attention mechanism	2020	Tongxue Zhou Stéphane Canu Su Ruan	2
+ PDF Chat	Progressive Differentiable Architecture Search: Bridging the Depth Gap Between Search and Evaluation	2019	Xin Chen Lingxi Xie Jun Wu Qi Tian	2
+ PDF Chat	DÏoT: A Federated Self-learning Anomaly Detection System for IoT	2019	Thien Duc Nguyen Samuel Marchal Markus Miettinen Hossein Fereidooni N. Asokan Ahmad‐Reza Sadeghi	2
+	Federated Learning for Healthcare Informatics	2019	Jie Xu Benjamin S. Glicksberg Chang Su Peter Walker Jiang Bian Wang Fei	2
+	Self-training with Noisy Student improves ImageNet classification	2019	Qizhe Xie Minh-Thang Luong Eduard Hovy Quoc V. Le	2
+	Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data	2019	Felix Sattler Simon Wiedemann Klaus‐Robert Müller Wojciech Samek	2
+	ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring	2019	David Berthelot Nicholas Carlini Ekin D. Cubuk А.В. Куракин Kihyuk Sohn Han Zhang Colin Raffel	2
+ PDF Chat	Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles	2016	Mehdi Noroozi Paolo Favaro	2
+	Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation	2019	Lequan Yu Shujun Wang Xiaomeng Li Chi‐Wing Fu Pheng‐Ann Heng	2
+	FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence	2020	Kihyuk Sohn David Berthelot Chun‐Liang Li Zizhao Zhang Nicholas Carlini Ekin D. Cubuk А.В. Куракин Han Zhang Colin Raffel	2
+	Lung Infection Quantification of COVID-19 in CT Images with Deep Learning	2020	Fei Shan Yaozong Gao Jun Wang Weiya Shi Nannan Shi Miaofei Han Zhong Xue Dinggang Shen Yuxin Shi	2
+	A Survey towards Federated Semi-supervised Learning.	2020	Yilun Jin Xiguang Wei Yang Liu Qiang Yang	2
+	Unsupervised Representation Learning by Predicting Image Rotations	2018	Spyros Gidaris Praveer Singh Nikos Komodakis	2
+ PDF Chat	V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation	2016	Fausto Milletarì Nassir Navab Seyed‐Ahmad Ahmadi	2
+	3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19	2020	Siqi Liu Bogdan Georgescu Zhoubing Xu Youngjin Yoo Guillaume Chabin Shikha Chaganti Saša Grbić Sebastian Piat Brian Teixeira Abishek Balachandran	1
+	SCAFFOLD: Stochastic Controlled Averaging for Federated Learning	2019	Sai Praneeth Karimireddy Satyen Kale Mehryar Mohri Sashank J. Reddi Sebastian U. Stich Ananda Theertha Suresh	1
+ PDF Chat	Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data	2020	Qi Chang Hui Qu Yikai Zhang Mert R. Sabuncu Chao Chen Tong Zhang Dimitris Metaxas	1
+ PDF Chat	Self-Training With Noisy Student Improves ImageNet Classification	2020	Qizhe Xie Minh-Thang Luong Eduard Hovy Quoc V. Le	1
+ PDF Chat	Randaugment: Practical automated data augmentation with a reduced search space	2020	Ekin D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le	1
+ PDF Chat	Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation	2020	Yingda Xia Dong Yang Zhiding Yu Fengze Liu Jinzheng Cai Lequan Yu Zhuotun Zhu Daguang Xu Alan Yuille Holger R. Roth	1
+	Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results	2020	Xiaoxiao Li Yufeng Gu Nicha C. Dvornek Lawrence H. Staib Pamela Ventola James S. Duncan	1
+	FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning	2020	Hong-You Chen Wei‐Lun Chao	1
+ PDF Chat	The future of digital health with federated learning	2020	Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletarì Holger R. Roth Shadi Albarqouni Spyridon Bakas Mathieu Galtier Bennett A. Landman Klaus H. Maier‐Hein	1
+ PDF Chat	Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans	2020	Weiyi Xie Colin Jacobs Jean‐Paul Charbonnier Bram van Ginneken	1
+ PDF Chat	MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data	2020	Quande Liu Qi Dou Lequan Yu Pheng‐Ann Heng	1