Nahian Siddique

Generating author description...

All published works

Action	Title	Year	Authors
+	U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications	2021	Nahian Siddique Sidike Paheding Colin Elkin Vijay Devabhaktuni

Common Coauthors

Coauthor	Papers Together
Colin Elkin	1
Vijay Devabhaktuni	1
Sidike Paheding	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ 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
+	Conditional Generative Adversarial Nets	2014	Mehdi Mirza Simon Osindero	1
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	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	3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation	2016	Özgün Çiçek Ahmed Abdulkadir Soeren S. Lienkamp Thomas Brox Olaf Ronneberger	1
+ PDF Chat	Feature Pyramid Networks for Object Detection	2017	Tsung-Yi Lin Piotr Dollár Ross Girshick Kaiming He Bharath Hariharan Serge Belongie	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	Practical Black-Box Attacks against Machine Learning	2017	Nicolas Papernot Patrick McDaniel Ian Goodfellow Somesh Jha Z. Berkay Celik Ananthram Swami	1
+ PDF Chat	Deep Learning for Medical Image Processing: Overview, Challenges and the Future	2017	Imran Razzak Saeeda Naz Ahmad Zaib	1
+ PDF Chat	Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks	2017	Hao Dong Guang Yang Fangde Liu Yuanhan Mo Yike Guo	1
+ PDF Chat	Auto-Context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging	2017	Seyed Sadegh Mohseni Salehi Deniz Erdoğmuş Ali Gholipour	1
+	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	1
+	W-Net: A Deep Model for Fully Unsupervised Image Segmentation	2017	Xide Xia Brian Kulis	1
+	Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation.	2018	Md Zahangir Alom Md. Mahmudul Hasan Chris Yakopcic Tarek M. Taha Vijayan K. Asari	1
+	Attention U-Net: Learning Where to Look for the Pancreas	2018	Ozan Oktay Jo Schlemper Loïc Le Folgoc Matthew C. H. Lee Mattias P. Heinrich‬ Kazunari Misawa Kensaku Mori Steven McDonagh Nils Hammerla Bernhard Kainz	1
+ PDF Chat	A post-processing method to improve the white matter hyperintensity segmentation accuracy for randomly-initialized U-net	2018	Yue Zhang Wanli Chen Yifan Chen Xiaoying Tang	1
+ PDF Chat	UNet++: A Nested U-Net Architecture for Medical Image Segmentation	2018	Zongwei Zhou Md Mahfuzur Rahman Siddiquee Nima Tajbakhsh Jianming Liang	1
+	Attention gated networks: Learning to leverage salient regions in medical images	2019	Jo Schlemper Ozan Oktay Michiel Schaap Mattias P. Heinrich‬ Bernhard Kainz Ben Glocker Daniel Rueckert	1
+ PDF Chat	Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-Net	2018	Heyi Li Dongdong Chen William H. Nailon Mike Davies David Laurenson	1
+ PDF Chat	Generative adversarial network in medical imaging: A review	2019	Yi Xin Ekta Walia Paul Babyn	1
+ PDF Chat	Reproducible White Matter Tract Segmentation Using 3D U-Net on a Large-scale DTI Dataset	2018	Bo Li Marius de Groot Meike W. Vernooij M. Arfan Ikram Wiro J. Niessen Esther E. Bron	1
+ PDF Chat	Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss	2019	Shuman Jia Antoine Despinasse Zihao Wang Hervé Delingette Xavier Pennec Pierre Jaı̈s Hubert Cochet Maxime Sermesant	1
+ PDF Chat	Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities	2019	José Dolz Ismail Ben Ayed Christian Desrosiers	1
+ PDF Chat	DUNet: A deformable network for retinal vessel segmentation	2019	Qiangguo Jin Zhaopeng Meng Tuan D. Pham Qi Chen Leyi Wei Ran Su	1
+ PDF Chat	Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net	2019	Hongwei Li Andrii Zhygallo Bjoern Menze	1
+	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	1
+ PDF Chat	Automatic quantification of the LV function and mass: A deep learning approach for cardiovascular MRI	2018	Ariel H. Curiale F. D. Colavecchia Germán Mato	1
+ PDF Chat	Mask-RCNN and U-Net Ensembled for Nuclei Segmentation	2019	Aarno Oskar Vuola Saad Ullah Akram Juho Kannala	1
+ PDF Chat	MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation	2019	Nabil Ibtehaz M. Sohel Rahman	1
+	Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)	2019	Noel Codella Veronica Rotemberg Philipp Tschandl M. Emre Celebi Stephen W. Dusza David Gutman Brian Helba Aadi Kalloo Konstantinos Liopyris Michael A. Marchetti	1
+	USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets	2019	Leonardo Rundo Changhee Han Yudai Nagano Jin Zhang Ryuichiro Hataya Carmelo Militello Andrea Tangherloni Marco S. Nobile Claudio Ferretti Daniela Besozzi	1
+	EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks	2019	Mingxing Tan Quoc V. Le	1
+	Auto-context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging	2017	Seyed Sadegh Mohseni Salehi Deniz Erdoğmuş Ali Gholipour	1
+	EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks	2019	Mingxing Tan Quoc V. Le	1
+ PDF Chat	Prostate Segmentation Using Z-Net	2019	Yue Zhang Jiong Wu Wanli Chen Yifan Chen Xiaoying Tang	1
+ PDF Chat	Fully Automatic Intervertebral Disc Segmentation Using Multimodal 3D U-Net	2019	Chuanbo Wang Ye Guo Wei Chen Zeyun Yu	1
+ PDF Chat	A Novel Focal Tversky Loss Function With Improved Attention U-Net for Lesion Segmentation	2019	Nabila Abraham Naimul Khan	1
+ PDF Chat	Learning Mutually Local-Global U-Nets For High-Resolution Retinal Lesion Segmentation In Fundus Images	2019	Zizheng Yan Xiaoguang Han Changmiao Wang Yuda Qiu Zixiang Xiong Shuguang Cui	1
+ PDF Chat	Feature Pyramid Network for Multi-class Land Segmentation	2018	Selim Seferbekov Vladimir I. Iglovikov Alexander V. Buslaev Alexey A. Shvets	1
+ PDF Chat	Framing U-Net via Deep Convolutional Framelets: Application to Sparse-View CT	2018	Yoseob Han Jong Chul Ye	1
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	1
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	1
+ PDF Chat	Skin lesion segmentation: U-Nets versus clustering	2017	Bill S. Lin Kevin Michael Shivam Kalra Hamid R. Tizhoosh	1
+ PDF Chat	Left Ventricle Segmentation via Optical-Flow-Net from Short-Axis Cine MRI: Preserving the Temporal Coherence of Cardiac Motion	2018	Wenjun Yan Yuanyuan Wang Zeju Li Rob J. van der Geest Qian Tao	1
+	SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation	2017	Vijay Badrinarayanan A. C. Kendall Roberto Cipolla	1
+ PDF Chat	Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks	2017	Seyed Sadegh Mohseni Salehi Deniz Erdoğmuş Ali Gholipour	1
+ PDF Chat	H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes	2018	Xiaomeng Li Hao Chen Xiaojuan Qi Qi Dou Chi‐Wing Fu Pheng‐Ann Heng	1
+ PDF Chat	USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets	2019	Leonardo Rundo Changhee Han Yudai Nagano Jin Zhang Ryuichiro Hataya Carmelo Militello Andrea Tangherloni Marco S. Nobile Claudio Ferretti Daniela Besozzi	1
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	1