Colin Jacobs

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All published works

Action	Title	Year	Authors
+	Structure and position-aware graph neural network for airway labeling	2024	Weiyi Xie Colin Jacobs Jean‐Paul Charbonnier Bram van Ginneken
+ PDF Chat	Nodule Detection and Generation on Chest X-Rays: NODE21 Challenge	2024	Ecem Sogancioglu Bram van Ginneken Finn Behrendt Marcel Bengs Alexander Schlaefer Miron Radu Di Xu Ke Sheng Fabien Scalzo Eric Marcus
+	Nodule detection and generation on chest X-rays: NODE21 Challenge	2024	Ecem Sogancioglu Bram van Ginneken Finn Behrendt Marcel Bengs Alexander Schlaefer Miron Radu Di Xu Ke Sheng Fabien Scalzo Eric Marcus
+ PDF Chat	Emphysema subtyping on thoracic computed tomography scans using deep neural networks	2023	Hui Xie Colin Jacobs Jean‐Paul Charbonnier Dirk Jan Slebos Bram van Ginneken
+	Dense regression activation maps for lesion segmentation in CT scans of COVID-19 patients	2023	Weiyi Xie Colin Jacobs Jean‐Paul Charbonnier Bram van Ginneken
+	Kidney abnormality segmentation in thorax-abdomen CT scans	2023	Gabriel Efrain Humpire Mamani Nikolas Leßmann Ernst T. Scholten Mathias Prokop Colin Jacobs Bram van Ginneken
+	Transfer learning from a sparsely annotated dataset of 3D medical images	2023	Gabriel Efrain Humpire Mamani Colin Jacobs Mathias Prokop Bram van Ginneken Nikolas Leßmann
+	The Liver Tumor Segmentation Benchmark (LiTS)	2022	Patrick Bilic Patrick Ferdinand Christ Hongwei Li Eugene Vorontsov Avi Ben-Cohen Georgios Kaissis Adi Szeskin Colin Jacobs Gabriel Efrain Humpire Mamani Gabriel Chartrand
+	Structure and position-aware graph neural network for airway labeling	2022	Weiyi Xie Colin Jacobs Jean‐Paul Charbonnier Bram van Ginneken
+ PDF Chat	Deep Clustering Activation Maps for Emphysema Subtyping	2021	Weiyi Xie Colin Jacobs Bram van Ginneken
+	Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients	2021	Weiyi Xie Colin Jacobs Bram van Ginneken
+	Deep Clustering Activation Maps for Emphysema Subtyping	2021	Weiyi Xie Colin Jacobs Bram van Ginneken
+ 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
+	Contextual Two-Stage U-Nets for Robust Pulmonary Lobe Segmentation in CT Scans of COVID-19 and COPD Patients	2020	Weiyi Xie Colin Jacobs Jean‐Paul Charbonnier Bram van Ginneken
+	Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study	2020	Coen de Vente Luuk Boulogne Kiran Vaidhya Venkadesh Cheryl Sital Nikolas Leßmann Colin Jacobs Clara I. Sá‎nchez Bram van Ginneken
+ PDF Chat	iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network	2019	Guilherme Aresta Colin Jacobs Teresa Araújo A. Cunha Isabel Ramos Bram van Ginneken Aurélio Campilho
+	The Liver Tumor Segmentation Benchmark (LiTS)	2019	Patrick Bilic Patrick Ferdinand Christ Hongwei Li Eugene Vorontsov Avi Ben-Cohen Georgios Kaissis Adi Szeskin Colin Jacobs Gabriel Efrain Humpire Mamani Gabriel Chartrand
+	iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network	2018	Guilherme Aresta Colin Jacobs Teresa Araújo A. Cunha Isabel Ramos Bram van Ginneken Aurélio Campilho
+	iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network	2018	Guilherme Aresta Colin Jacobs Teresa Araújo A. Cunha Isabel Ramos Bram van Ginneken Aurélio Campilho
+ 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
+ PDF Chat	Towards automatic pulmonary nodule management in lung cancer screening with deep learning	2017	Francesco Ciompi Kaman Chung Sarah J. van Riel Arnaud Arindra Adiyoso Setio Paul K. Gerke Colin Jacobs Ernst T. Scholten Cornelia Schaefer‐Prokop Mathilde Marie Winkler Wille Alfonso Marchianò

Common Coauthors

Coauthor	Papers Together
Bram van Ginneken	21
Weiyi Xie	6
Jean‐Paul Charbonnier	6
Ernst T. Scholten	5
Mathias Prokop	4
Gabriel Efrain Humpire Mamani	4
Hao Chen	3
Pheng‐Ann Heng	3
Guilherme Aresta	3
A. Cunha	3
Clara I. Sá‎nchez	3
Qi Dou	3
Teresa Araújo	3
Nikolas Leßmann	3
Aurélio Campilho	3
Michela Antonelli	2
Patrick Ferdinand Christ	2
Julian Walter Holch	2
Marie Piraud	2
Jan Hendrik Moltz	2
Bjoern Menze	2
Fabien Scalzo	2
Krishna Chaitanya Kaluva	2
Paul F. Jäger	2
Ecem Sogancioglu	2
Andrea Schenk	2
Rickmer Braren	2
Leo Joskowicz	2
Jacob Sosna	2
Leon Weninger	2
Jordi Torres	2
Samuel Kadoury	2
Ivan Ezhov	2
Wieland H. Sommer	2
Georgios Kaissis	2
Kevis-Kokitsi Maninis	2
Benedikt Wiestler	2
Michal Drozdzal	2
Grzegorz Chlebus	2
Klaus H. Maier‐Hein	2
Ignacio Sarasúa	2
Eugene Vorontsov	2
John Lowengrub	2
Volker Heinemann	2
Bogdan Georgescu	2
Cornelia Schaefer‐Prokop	2
Jan S. Kirschke	2
Lei Bi	2
Jonas Teuwen	2
Erik B. Dam	2

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	5
+ PDF Chat	3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation	2016	Özgün Çiçek Ahmed Abdulkadir Soeren S. Lienkamp Thomas Brox Olaf Ronneberger	5
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+ 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	4
+ PDF Chat	nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation	2020	Fabian Isensee Paul F. Jaeger Simon Kohl Jens Petersen Klaus H. Maier‐Hein	4
+ PDF Chat	Local Relation Networks for Image Recognition	2019	Han Hu Zheng Zhang Zhenda Xie Stephen Lin	3
+ 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	3
+ PDF Chat	Non-local Neural Networks	2018	Xiaolong Wang Ross Girshick Abhinav Gupta Kaiming He	3
+ PDF Chat	Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations	2017	Carole H. Sudre Wenqi Li Tom Vercauteren Sébastien Ourselin M. Jorge Cardoso	2
+	3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation	2016	Özgün Çiçek Ahmed Abdulkadir Soeren S. Lienkamp Thomas Brox Olaf Ronneberger	2
+ PDF Chat	Training Region-Based Object Detectors with Online Hard Example Mining	2016	Abhinav Shrivastava Abhinav Gupta Ross Girshick	2
+ PDF Chat	V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation	2016	Fausto Milletarì Nassir Navab Seyed‐Ahmad Ahmadi	2
+	Training Deep Neural Networks on Noisy Labels with Bootstrapping	2014	Scott Reed Honglak Lee Dragomir Anguelov Christian Szegedy Dumitru Erhan Andrew Rabinovich	2
+ PDF Chat	From image-level to pixel-level labeling with Convolutional Networks	2015	Pedro O. Pinheiro Ronan Collobert	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
+	On the difficulty of training Recurrent Neural Networks	2012	Razvan Pascanu Tomáš Mikolov Yoshua Bengio	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
+	Neural Machine Translation by Jointly Learning to Align and Translate	2015	Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio	2
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	2
+	Theano: new features and speed improvements	2012	Frédéric Bastien Pascal Lamblin Razvan Pascanu James Bergstra Ian J. Goodfellow Arnaud Bergeron Nicolas Bouchard David Warde-Farley Yoshua Bengio	2
+	Iterative Augmentation of Visual Evidence for Weakly-Supervised Lesion Localization in Deep Interpretability Frameworks: Application to Color Fundus Images	2020	Cristina González-Gonzalo Bart Liefers Bram van Ginneken Clara I. Sá‎nchez	2
+	Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning	2018	Guotai Wang Wenqi Li María A. Zuluaga Rosalind Pratt Premal A. Patel Michaël Aertsen Tom Doel Anna L. David Jan Deprest Sébastien Ourselin	2
+ PDF Chat	Automated Segmentation Of Pulmonary Lobes Using Coordination-Guided Deep Neural Networks	2019	Wenjia Wang Junxuan Chen Jie Zhao Ying Chi Xuansong Xie Li Zhang Xian–Sheng Hua	2
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	2
+ PDF Chat	Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation	2014	Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik	2
+	GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation	2020	Zhanwei Xu Yukun Cao Cheng Jin Guozhu Shao Xiaoqing Liu Jie Zhou Heshui Shi Jianjiang Feng	2
+ PDF Chat	CCNet: Criss-Cross Attention for Semantic Segmentation	2019	Zilong Huang Xinggang Wang Lichao Huang Chang Huang Yunchao Wei Wenyu Liu	2
+	The Kinetics Human Action Video Dataset	2017	Andrew Zisserman João Carreira Karen Simonyan Will Kay Brian Zhang Chloe Hillier Sudheendra Vijayanarasimhan Fabio Viola T.C. Green Trevor Back	1
+ PDF Chat	Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach	2017	Yunchao Wei Jiashi Feng Xiaodan Liang Ming‐Ming Cheng Yao Zhao Shuicheng Yan	1
+ 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	1
+ PDF Chat	STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation	2016	Yunchao Wei Xiaodan Liang Yunpeng Chen Xiaohui Shen Ming‐Ming Cheng Jiashi Feng Yao Zhao Shuicheng Yan	1
+ PDF Chat	YOLO9000: Better, Faster, Stronger	2017	Joseph Redmon Ali Farhadi	1
+ PDF Chat	Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields	2016	Patrick Ferdinand Christ Mohamed Ezzeldin A. Elshaer Florian Ettlinger Sunil Tatavarty Marc Bickel Patrick Bilic Markus Rempfler Marco Armbruster Felix Hofmann Melvin D’Anastasi	1
+	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	1
+	Going Deeper with Convolutions	2014	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	1
+	Wide Residual Networks	2016	Sergey Zagoruyko Nikos Komodakis	1
+	Improving neural networks by preventing co-adaptation of feature detectors	2012	Geoffrey E. Hinton Nitish Srivastava Alex Krizhevsky Ilya Sutskever Ruslan Salakhutdinov	1
+	Training Deep Nets with Sublinear Memory Cost	2016	Tianqi Chen Bing Xu Chiyuan Zhang Carlos Guestrin	1
+	Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach	1988	Elizabeth R. DeLong David M. DeLong Daniel L. Clarke‐Pearson	1
+	Bootstrap estimation of diagnostic accuracy with patient-clustered data	2000	Carolyn M. Rutter	1
+	CCNet: Criss-Cross Attention for Semantic Segmentation	2018	Zilong Huang Xinggang Wang Yunchao Wei Lichao Huang Humphrey Shi Wenyu Liu Thomas S. Huang	1
+ 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	1
+ PDF Chat	PadChest: A large chest x-ray image dataset with multi-label annotated reports	2020	Aurelia Bustos Antonio Pertusa José María Salinas María de la Iglesia-Vayá	1
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1
+	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach	2017	Yunchao Wei Jiashi Feng Xiaodan Liang Ming‐Ming Cheng Yao Zhao Shuicheng Yan	1
+	Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy	2018	Stanislav Nikolov Sam Blackwell Alexei Zverovitch R. Mendes Michelle Livne Jeffrey De Fauw Yojan Patel Clemens Meyer Harry Askham Bernardino Romera‐Paredes	1
+ PDF Chat	Deep Clustering for Unsupervised Learning of Visual Features	2018	Mathilde Caron Piotr Bojanowski Armand Joulin Matthijs Douze	1
+ PDF Chat	Learning Deep Features for Discriminative Localization	2016	Bolei Zhou Aditya Khosla Àgata Lapedriza Aude Oliva Antonio Torralba	1
+ PDF Chat	Deep learning in neural networks: An overview	2014	Jürgen Schmidhuber	1