Johann Li

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All published works

Action	Title	Year	Authors
+ PDF Chat	A Systematic Collection of Medical Image Datasets for Deep Learning	2023	Johann Li Guangming Zhu Cong Hua Mingtao Feng Basheer Bennamoun Ping Li Xiaoyuan Lu Juan Song Peiyi Shen Xu Xu
+ PDF Chat	MEDAS: an open-source platform as a service to help break the walls between medicine and informatics	2022	Liang Zhang Johann Li Ping Li Xiaoyuan Lu Maoguo Gong Peiyi Shen Guangming Zhu Syed Afaq Ali Shah Mohammed Bennamoun Kun Qian
+	A Systematic Collection of Medical Image Datasets for Deep Learning	2021	Johann Li Guangming Zhu Cong Hua Mingtao Feng Basheer Bennamoun Ping Li Xiaoyuan Lu Juan Song Peiyi Shen Xu Xu
+	MeDaS: An open-source platform as service to help break the walls between medicine and informatics	2020	Liang Zhang Johann Li Ping Li Xiaoyuan Lu Peiyi Shen Guangming Zhu Syed Afaq Ali Shah Mohammed Bennamoun Kun Qian Björn Schüller

Common Coauthors

Coauthor	Papers Together
Mohammed Bennamoun	4
Xiaoyuan Lu	4
Guangming Zhu	4
Syed Afaq Ali Shah	4
Peiyi Shen	4
Liang Zhang	3
Björn Schüller	2
Juan Song	2
Basheer Bennamoun	2
Xu Xu	2
Kun Qian	2
Ping Li	2
Cong Hua	2
Mingtao Feng	2
Lin Mei	2
Liang Zhang	1
Maoguo Gong	1
Ping Li	1
Ping Li	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+ PDF Chat	Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge	2017	Arnaud Arindra Adiyoso Setio Alberto Traverso Thomas de Bel Moira S.N. Berens Cas van den Bogaard P. Cerello Hao Chen Qi Dou M.E. Fantacci Bram Geurts	4
+ PDF Chat	Multi-institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation	2019	Micah Sheller G. Anthony Reina Brandon Edwards Jason Martin Spyridon Bakas	4
+	Zero-shot learning and its applications from autonomous vehicles to COVID-19 diagnosis: A review	2020	Mahdi Rezaei Mahsa Shahidi	3
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	3
+	MeDaS: An open-source platform as service to help break the walls between medicine and informatics	2020	Liang Zhang Johann Li Ping Li Xiaoyuan Lu Peiyi Shen Guangming Zhu Syed Afaq Ali Shah Mohammed Bennamoun Kun Qian Björn Schüller	2
+	POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS)	2020	Jannis Born Gabriel Brändle Manuel Cossio Marion Disdier Julie Goulet Jérémie Roulin Nina Wiedemann	2
+ PDF Chat	AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography	2020	Huazhu Fu Fei Li Xu Sun Xingxing Cao Jingan Liao José Ignacio Orlando Tao Xing Yuexiang Li Shihao Zhang Mingkui Tan	2
+ PDF Chat	The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up	2021	Răzvan V. Marinescu Neil P. Oxtoby Alexandra L. Young Esther E. Bron Arthur W. Toga Michael W. Weiner Frederik Barkhof Nick C. Fox Arman Eshaghi Tina Toni	2
+ PDF Chat	SDCT-AuxNet : DCT augmented stain deconvolutional CNN with auxiliary classifier for cancer diagnosis	2020	Shiv Gehlot Anubha Gupta Ritu Gupta	2
+ PDF Chat	Can AI Help in Screening Viral and COVID-19 Pneumonia?	2020	Muhammad E. H. Chowdhury Tawsifur Rahman Amith Khandakar Rashid Mazhar Muhammad Abdul Kadir Zaid Bin Mahbub Khandaker Reajul Islam Muhammad Salman Khan Atif Iqbal Nasser Al Emadi	2
+	Unveiling COVID-19 from CHEST X-Ray with Deep Learning: A Hurdles Race with Small Data	2020	Enzo Tartaglione Carlo Alberto Barbano Claudio Berzovini Marco Calandri Marco Grangetto	2
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	2
+ PDF Chat	Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge	2021	Yue Sun Kun Gao Zhengwang Wu Guannan Li Xiaopeng Zong Zhihao Lei Ying Wei Jun Ma Xiaoping Yang Xue Feng	2
+ PDF Chat	Leveraging Vision Reconstruction Pipelines for Satellite Imagery	2019	Kai Zhang Noah Snavely Jin Sun	2
+ PDF Chat	Semi-supervised mp-MRI data synthesis with StitchLayer and auxiliary distance maximization	2019	Zhiwei Wang Yi Lin Kwang‐Ting Cheng Xin Yang	2
+ PDF Chat	Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2017	Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi	2
+ PDF Chat	REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs	2019	José Ignacio Orlando Huazhu Fu João Barbosa‐Breda Karel Van Keer Deepti R. Bathula Andrés Diaz-Pinto Ruogu Fang Pheng‐Ann Heng Je-Young Kim JoonHo Lee	2
+	Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation	2016	Konstantinos Kamnitsas Christian Ledig Virginia Newcombe Joanna Simpson Andrew D. Kane David Menon Daniel Rueckert Ben Glocker	2
+ PDF Chat	Automatic detection of rare pathologies in fundus photographs using few-shot learning	2020	Gwénolé Quellec Mathieu Lamard Pierre-Henri Conze Pascale Massin Béatrice Cochener	2
+ PDF Chat	3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes	2016	Qi Dou Hao Chen Yueming Jin Lequan Yu Jing Qin Pheng‐Ann Heng	2
+	Computer-aided diagnosis of lung carcinoma using deep learning - a pilot study	2018	Zhang Li Zhe-Yu Hu Jiaolong Xu Tao Tan Hui Chen Zhi Duan Ping Liu Jun Tang Guoping Cai Quchang Ouyang	2
+ PDF Chat	2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers	2014	Ari Seff Le Lü Kevin M. Cherry Holger R. Roth Jiamin Liu Shijun Wang Joanne Hoffman Evrim Türkbey Ronald M. Summers	2
+	CEREBRUM: a fast and fully-volumetric Convolutional Encoder-decodeR for weakly-supervised sEgmentation of BRain strUctures from out-of-the-scanner MRI	2020	Dennis Bontempi Sergio Benini Alberto Signoroni Michele Svanera Lars Muckli	2
+	BACH: Grand challenge on breast cancer histology images	2019	Guilherme Aresta Teresa Araújo Scotty Kwok Sai Saketh Chennamsetty Mohammed Safwan Varghese Alex Bahram Marami Marcel Prastawa Monica S. M. Chan Michael Donovan	2
+ PDF Chat	Generative adversarial network in medical imaging: A review	2019	Yi Xin Ekta Walia Paul Babyn	2
+ PDF Chat	HyperDense-Net: A Hyper-Densely Connected CNN for Multi-Modal Image Segmentation	2018	José Dolz Karthik Gopinath Jing Yuan Hervé Lombaert Christian Desrosiers Ismail Ben Ayed	2
+ PDF Chat	A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans	2017	Yuyin Zhou Lingxi Xie Wei Shen Yan Wang Elliot K. Fishman Alan Yuille	2
+ PDF Chat	A survey on deep learning in medical image analysis	2017	Geert Litjens Thijs Kooi Babak Ehteshami Bejnordi Arnaud Arindra Adiyoso Setio Francesco Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken Clara I. Sá‎nchez	2
+	FastSurfer - A fast and accurate deep learning based neuroimaging pipeline	2020	Leonie Henschel Sailesh Conjeti Santiago Estrada Kersten Diers Bruce Fischl Martin Reuter	2
+	Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge	2018	Spyridon Bakas Mauricio Reyes Enzo Battistella Siddhartha Chandra Huiguang He Lucas Fidon Maria Vakalopoulou Roger Sun et al. Éric Deutsch	2
+ PDF Chat	DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification	2018	Wentao Zhu Chaochun Liu Wei Fan Xiaohui Xie	2
+	None	2001	Taras Radul	2
+ PDF Chat	CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison	2019	Jeremy Irvin Pranav Rajpurkar Michael Ko Yifan Yu Silviana Ciurea-Ilcus Chris Chute Henrik Marklund Behzad Haghgoo Robyn L. Ball Katie Shpanskaya	2
+ PDF Chat	Multivariate Mixture Model for Myocardial Segmentation Combining Multi-Source Images	2018	Xiahai Zhuang	2
+ PDF Chat	Learning the Dynamic Treatment Regimes from Medical Registry Data through Deep Q-network	2019	Ning Liu Ying Liu Brent R. Logan Zhiyuan Xu Jian Tang Yanzhi Wang	2
+	A large annotated medical image dataset for the development and evaluation of segmentation algorithms	2019	Amber L. Simpson Michela Antonelli Spyridon Bakas Michel Bilello Keyvan Farahani Bram van Ginneken Annette Kopp‐Schneider Bennett A. Landman Geert Litjens Bjoern Menze	2
+	NiftyNet: a deep-learning platform for medical imaging	2018	Eli Gibson Wenqi Li Carole H. Sudre Lucas Fidon Dzhoshkun I. Shakir Guotai Wang Zach Eaton-Rosen Robert Gray Tom Doel Yipeng Hu	2
+	The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes	2019	Nicholas Heller Niranjan Sathianathen Arveen Kalapara Edward Walczak Keenan Moore Heather Kaluzniak Joel Rosenberg Paul Blake Zachary Rengel Makinna Oestreich	2
+	Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge	2019	Hugo J. Kuijf Adrià Casamitjana D. Louis Collins Mahsa Dadar Achilleas Georgiou Mohsen Ghafoorian Dakai Jin April Khademi Jesse Knight Hongwei Li	2
+ PDF Chat	3D ShapeNets: A deep representation for volumetric shapes	2015	Zhirong Wu Shuran Song Aditya Khosla Fisher Yu Linguang Zhang Xiaoou Tang Jianxiong Xiao	2
+ PDF Chat	CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation	2020	Ali Emre Kavur Naciye Sinem Gezer Mustafa Barış Sinem Aslan Pierre-Henri Conze Vladimir Groza Duc Duy Pham Soumick Chatterjee Philipp Ernst Savaş Özkan	2
+	Prior Information Guided Regularized Deep Learning for Cell Nucleus Detection	2019	Mohammad Tofighi Tiantong Guo Jairam Vanamala Vishal Monga	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+ PDF Chat	V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation	2016	Fausto Milletarì Nassir Navab Seyed‐Ahmad Ahmadi	2
+ PDF Chat	Fast and accurate tumor segmentation of histology images using persistent homology and deep convolutional features	2019	Talha Qaiser Yee‐Wah Tsang Daiki Taniyama Naoya Sakamoto Kazuaki Nakane D. B. A. Epstein Nasir Rajpoot	2
+	Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers	2018	Fred Hohman Minsuk Kahng Robert Pienta Duen Horng Chau	2
+	Generic decoding of seen and imagined objects using hierarchical visual features	2017	Tomoyasu Horikawa Yukiyasu Kamitani	2
+ PDF Chat	Visual interpretability for deep learning: a survey	2018	Quanshi Zhang Song‐Chun Zhu	2
+	PathVQA: 30000+ Questions for Medical Visual Question Answering	2020	Xuehai He Yichen Zhang Luntian Mou Eric P. Xing Pengtao Xie	2