Ozan Ciga

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All published works

Action	Title	Year	Authors
+	Self supervised contrastive learning for digital histopathology	2021	Ozan Ciga Tony Xu Anne L. Martel
+	Resource and data efficient self supervised learning	2021	Ozan Ciga Tony Xu Anne L. Martel
+ PDF Chat	Overcoming the limitations of patch-based learning to detect cancer in whole slide images	2021	Ozan Ciga Tony Xu Sharon Nofech‐Mozes Shawna Noy Fang‐I Lu Anne L. Martel
+	Resource and data efficient self supervised learning	2021	Ozan Ciga Tony Xu Anne L. Martel
+ PDF Chat	Overcoming the Limitations of Patch-Based Learning to Detect Cancer in Whole Slide Images	2020	Ozan Ciga Tony Xu Sharon Nofech‐Mozes Fang‐I Lu Shawna Noy Anne L. Martel
+	Self supervised contrastive learning for digital histopathology	2020	Ozan Ciga Tony Xu Anne L. Martel
+ PDF Chat	Learning to segment images with classification labels	2020	Ozan Ciga Anne L. Martel
+ PDF Chat	Deep neural network models for computational histopathology: A survey	2020	Chetan L. Srinidhi Ozan Ciga Anne L. Martel
+	Overcoming the limitations of patch-based learning to detect cancer in whole slide images	2020	Ozan Ciga Tony Xu Sharon Nofech‐Mozes Shawna Noy Fang‐I Lu Anne L. Martel
+	Self supervised contrastive learning for digital histopathology	2020	Ozan Ciga Tony Xu Anne L. Martel
+	Multi-layer Domain Adaptation for Deep Convolutional Networks	2019	Ozan Ciga Jianan Chen Anne L. Martel
+ PDF Chat	Multi-layer Domain Adaptation for Deep Convolutional Networks	2019	Ozan Ciga Jianan Chen Anne L. Martel
+	Multi-layer Domain Adaptation for Deep Convolutional Networks	2019	Ozan Ciga Jianan Chen Anne L. Martel

Common Coauthors

Coauthor	Papers Together
Anne L. Martel	13
Tony Xu	8
Sharon Nofech‐Mozes	3
Shawna Noy	3
Fang‐I Lu	3
Jianan Chen	3
Chetan L. Srinidhi	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	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	6
+ PDF Chat	Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles	2016	Mehdi Noroozi Paolo Favaro	5
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	5
+ PDF Chat	Deep neural network models for computational histopathology: A survey	2020	Chetan L. Srinidhi Ozan Ciga Anne L. Martel	4
+	Unsupervised Representation Learning by Predicting Image Rotations	2018	Spyros Gidaris Praveer Singh Nikos Komodakis	4
+ PDF Chat	Unsupervised Learning for Cell-Level Visual Representation in Histopathology Images With Generative Adversarial Networks	2018	Bo Hu Ye Tang Eric Chang Yubo Fan Maode Lai Yan Xu	4
+	Efficient Estimation of Word Representations in Vector Space	2013	Tomáš Mikolov Kai Chen Greg S. Corrado Jay B. Dean	3
+ PDF Chat	Squeeze-and-Excitation Networks	2019	Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu	3
+ PDF Chat	Momentum Contrast for Unsupervised Visual Representation Learning	2020	Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross Girshick	3
+ PDF Chat	Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?	2016	Nima Tajbakhsh Jae Y. Shin Suryakanth R. Gurudu R. Todd Hurst Christopher B. Kendall Michael B. Gotway Jianming Liang	3
+	Asymmetric Tri-training for Unsupervised Domain Adaptation	2017	Kuniaki Saito Yoshitaka Ushiku Tatsuya Harada	3
+ PDF Chat	Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images	2018	Le Hou Vu Nguyen Ariel B. Kanevsky Dimitris Samaras Tahsin Kurç Tianhao Zhao Rajarsi Gupta Yi Gao Wenjin Chen David J. Foran	3
+ PDF Chat	Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images	2019	Simon Graham Quoc Dang Vu Shan E Ahmed Raza Ayesha Azam Yee Wah Tsang Jin Tae Kwak Nasir Rajpoot	3
+	Big Self-Supervised Models are Strong Semi-Supervised Learners	2020	Ting Chen Simon Kornblith Kevin Swersky Mohammad Norouzi Geoffrey E. Hinton	3
+	Improving predictive inference under covariate shift by weighting the log-likelihood function	2000	Hidetoshi Shimodaira	3
+	Contrastive Multiview Coding	2019	Yonglong Tian Dilip Krishnan Phillip Isola	3
+	Unsupervised Domain Adaptation by Backpropagation	2014	Yaroslav Ganin Victor Lempitsky	3
+ PDF Chat	Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge	2019	Mitko Veta Yujing J. Heng Nikolas Stathonikos Babak Ehteshami Bejnordi Francisco Beça Thomas Wollmann Karl Rohr Manan Shah D. Wang Mikaël Rousson	3
+ PDF Chat	Self-Supervised Learning of Pretext-Invariant Representations	2020	Ishan Misra Laurens van der Maaten	3
+	A Simple Framework for Contrastive Learning of Visual Representations	2020	Ting Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton	3
+ PDF Chat	FaceNet: A unified embedding for face recognition and clustering	2015	Florian Schroff Dmitry Kalenichenko James Philbin	3
+	Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination	2018	Zhirong Wu Yuanjun Xiong Stella X. Yu Dahua Lin	2
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	2
+ PDF Chat	Gland segmentation in colon histology images: The glas challenge contest	2016	Korsuk Sirinukunwattana Josien P. W. Pluim Hao Chen Xiaojuan Qi Pheng‐Ann Heng Yun Guo Li Yang Wang Bogdan J. Matuszewski Elia Bruni Urko Sanchez	2
+	Bootstrap your own latent: A new approach to self-supervised Learning	2020	Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre H. Richemond Elena Buchatskaya Carl Doersch Bernardo Ávila Pires Zhaohan Daniel Guo Mohammad Gheshlaghi Azar	2
+ PDF Chat	Signet Ring Cell Detection with a Semi-supervised Learning Framework	2019	Jiahui Li Shuang Yang Xiaodi Huang Qian Da Xiaoqun Yang Zhiqiang Hu Qi Duan Chaofu Wang Hongsheng Li	2
+ PDF Chat	Multi-layer Domain Adaptation for Deep Convolutional Networks	2019	Ozan Ciga Jianan Chen Anne L. Martel	2
+ PDF Chat	Overcoming the limitations of patch-based learning to detect cancer in whole slide images	2021	Ozan Ciga Tony Xu Sharon Nofech‐Mozes Shawna Noy Fang‐I Lu Anne L. Martel	2
+ PDF Chat	Training Medical Image Analysis Systems like Radiologists	2018	Gabriel Maicas Andrew P. Bradley Jacinto C. Nascimento Ian Reid Gustavo Carneiro	2
+	Self-Supervised Similarity Learning for Digital Pathology	2019	Jacob Gildenblat Eldad Klaiman	2
+ PDF Chat	A Survey of Crowdsourcing in Medical Image Analysis	2020	Silas Nyboe Ørting Andrew Doyle Arno van Hilten Matthias Hirth Oana Inel Christopher R. Madan Panagiotis Mavridis Helen Spiers Veronika Cheplygina	2
+	BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes Only Annotation	2018	Lin Yang Yizhe Zhang Zhuo Zhao Hao Zheng Peixian Liang Michael Ying Anil T. Ahuja Danny Z. Chen	2
+	Machine Learning Methods for Histopathological Image Analysis	2018	Daisuke Komura Shumpei Ishikawa	2
+ PDF Chat	Neural Image Compression for Gigapixel Histopathology Image Analysis	2019	David Tellez Geert Litjens Jeroen van der Laak Francesco Ciompi	2
+ PDF Chat	Semi-supervised Deep Learning for Fully Convolutional Networks	2017	Christoph Baur Shadi Albarqouni Nassir Navab	2
+	Deep Learning for Identifying Metastatic Breast Cancer	2016	D. Wang Aditya Khosla Rishab Gargeya Humayun Irshad Andrew H. Beck	1
+ PDF Chat	DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs	2017	Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Murphy Alan Yuille	1
+ PDF Chat	Conditional Random Fields as Recurrent Neural Networks	2015	Shuai Zheng Sadeep Jayasumana Bernardino Romera‐Paredes Vibhav Vineet Zhizhong Su Dalong Du Chang Huang Philip H. S. Torr	1
+	Fully Convolutional Networks for Semantic Segmentation	2016	Evan Shelhamer Jonathan Long Trevor Darrell	1
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1
+ PDF Chat	Perceptual Losses for Real-Time Style Transfer and Super-Resolution	2016	Justin Johnson Alexandre Alahi Li Fei-Fei	1
+ 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	1
+ PDF Chat	Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification	2016	Le Hou Dimitris Samaras Tahsin Kurç Yi Gao James Davis Joel Saltz	1
+ PDF Chat	<scp>HER</scp>2 challenge contest: a detailed assessment of automated <scp>HER</scp>2 scoring algorithms in whole slide images of breast cancer tissues	2017	Talha Qaiser Abhik Mukherjee Chaitanya Reddy PB Sai Dileep Munugoti T. Vamsi Tomi Pitkäaho Taina Lehtimäki Thomas J. Naughton Matt Berseth Aníbal Pedraza	1
+ PDF Chat	HEp-2 Cell Image Classification With Deep Convolutional Neural Networks	2016	Zhimin Gao Lei Wang Luping Zhou Jianjia Zhang	1
+ PDF Chat	Deep Learning Face Attributes in the Wild	2015	Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang	1
+	Efficient Estimation of Word Representations in Vector Space	2013	Tomáš Mikolov Kai Chen Greg S. Corrado Jay B. Dean	1
+ PDF Chat	Domain-adversarial neural networks to address the appearance variability of histopathology images	2017	Maxime W. Lafarge Josien P. W. Pluim Koen A. J. Eppenhof Pim Moeskops Mitko Veta	1
+ PDF Chat	Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images	2017	Babak Ehteshami Bejnordi Guido Zuidhof Maschenka Balkenhol Meyke Hermsen Peter Bult Bram van Ginneken Nico Karssemeijer Geert Litjens Jeroen van der Laak	1
+	MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	Andrew Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam	1