Anjali Agrawal

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All published works

Action	Title	Year	Authors
+	Multi-task driven explainable diagnosis of COVID-19 using chest X-ray images	2021	Aakarsh Malhotra Surbhi Mittal Puspita Majumdar Saheb Chhabra Kartik Thakral Mayank Vatsa Richa Singh Santanu Chaudhury Ashwin Pudrod Anjali Agrawal
+ PDF Chat	Deep LF-Net: Semantic lung segmentation from Indian chest radiographs including severely unhealthy images	2021	Anushikha Singh Brejesh Lall Bijaya Ketan Panigrahi Anjali Agrawal Anurag Agrawal Balamugesh Thangakunam Devasahayam J. Christopher
+	Deep LF-Net: Semantic Lung Segmentation from Indian Chest Radiographs Including Severely Unhealthy Images	2020	Anushikha Singh Brejesh Lall Bijaya Ketan Panigrahi Anjali Agrawal Anurag Agrawal DJ Christopher Balamugesh Thangakunam
+	Multi-Task Driven Explainable Diagnosis of COVID-19 using Chest X-ray Images	2020	Aakarsh Malhotra Surbhi Mittal Puspita Majumdar Saheb Chhabra Kartik Thakral Mayank Vatsa Richa Singh Santanu Chaudhury Ashwin Pudrod Anjali Agrawal
+	Deep Learning for Automated Screening of Tuberculosis from Indian Chest X-rays: Analysis and Update	2020	Anushikha Singh Brejesh Lall Bijaya Ketan Panigrahi Anjali Agrawal Anurag Agrawal Balamugesh Thangakunam Devasahayam J. Christopher
+	Deep LF-Net: Semantic Lung Segmentation from Indian Chest Radiographs Including Severely Unhealthy Images	2020	Anushikha Singh Brejesh Lall Bijaya Ketan Panigrahi Anjali Agrawal Anurag Agrawal DJ Christopher Balamugesh Thangakunam
+	Multi-Task Driven Explainable Diagnosis of COVID-19 using Chest X-ray Images	2020	Aakarsh Malhotra Surbhi Mittal Puspita Majumdar Saheb Chhabra Kartik Thakral Mayank Vatsa Richa Singh Santanu Chaudhury Ashwin Pudrod Anjali Agrawal

Common Coauthors

Coauthor	Papers Together
Bijaya Ketan Panigrahi	4
Anushikha Singh	4
Brejesh Lall	4
Anurag Agrawal	4
Ashwin Pudrod	3
Puspita Majumdar	3
Surbhi Mittal	3
Saheb Chhabra	3
Mayank Vatsa	3
Aakarsh Malhotra	3
Balamugesh Thangakunam	3
Kartik Thakral	3
Santanu Chaudhury	3
Devasahayam J. Christopher	2
Richa Singh	2
DJ Christopher	1
DJ Christopher	1
Richa Singh	1
Balamugesh Thangakunam	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	5
+	SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation	2017	Vijay Badrinarayanan A. C. Kendall Roberto Cipolla	4
+ PDF Chat	Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks	2020	Ioannis D. Apostolopoulos Tzani A. Mpesiana	2
+	CovidAID: COVID-19 Detection Using Chest X-Ray	2020	Arpan Mangal Surya Kalia Harish Rajgopal Krithika Rangarajan Vinay P. Namboodiri Subhashis Banerjee Chetan Arora	2
+ PDF Chat	Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets	2020	Yujin Oh Sang Joon Park Jong Chul Ye	2
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	2
+ PDF Chat	MobileNetV2: Inverted Residuals and Linear Bottlenecks	2018	Mark Sandler Andrew Howard Menglong Zhu Andrey Zhmoginov Liang-Chieh Chen	2
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	2
+	Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions	2020	Thanh Thi Nguyen	2
+ PDF Chat	Fully Convolutional Architectures for Multiclass Segmentation in Chest Radiographs	2018	Alexey A. Novikov D. Lenis David Major Jiřı́ Hladůvka M Wimmer Katja Bühler	2
+ PDF Chat	Accurate Lung Segmentation via Network-Wise Training of Convolutional Networks	2017	Sangheum Hwang Sunggyun Park	2
+ PDF Chat	ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases	2017	Xiaosong Wang Yifan Peng Le Lü Zhiyong Lu Mohammadhadi Bagheri Ronald M. Summers	2
+ PDF Chat	COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images	2020	Linda Wang Zhong Qiu Lin Alexander Wong	2
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	2
+	CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning	2017	Pranav Rajpurkar Jeremy Irvin Kaylie Zhu Brandon Yang Hershel Mehta Tony Duan Daisy Yi Ding Aarti Bagul Curtis P. Langlotz Katie Shpanskaya	2
+	Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks	2021	Ali Narin Ceren Kaya Ziynet Pamuk	2
+	Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection	2020	Biraja Ghoshal Allan Tucker	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+ PDF Chat	Identity Mappings in Deep Residual Networks	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	DeepCOVIDExplainer: Explainable COVID-19 Predictions Based on Chest X-ray Images	2020	Md Rezaul Karim Till Döhmen Dietrich Rebholz‐Schuhmann Stefan Decker Michael Cochez Oya Beyan	1
+	Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning	2020	Joseph Cohen Lan Dao Paul Morrison Karsten Roth Yoshua Bengio Beiyi Shen Almas Abbasi Mahsa Hoshmand-Kochi Marzyeh Ghassemi Haifang Li	1
+	DeepCOVIDExplainer: Explainable COVID-19 Diagnosis Based on Chest X-ray Images	2020	Md Rezaul Karim Till Döhmen Dietrich Rebholz‐Schuhmann Stefan Decker Michael Cochez Oya Beyan	1
+	Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware Anomaly Detection	2020	Jianpeng Zhang Yutong Xie Guansong Pang Zhibin Liao Johan Verjans Wenxin Li Zongji Sun Jian He Yi Li Chunhua Shen	1
+ PDF Chat	Segmentation of Lungs in Chest X-Ray Image Using Generative Adversarial Networks	2020	Faizan Munawar Shoaib Azmat Talha Iqbal Christer Grönlund Hazrat Ali	1
+	COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from X-ray images	2020	Parnian Afshar Shahin Heidarian Farnoosh Naderkhani Anastasia Oikonomou Konstantinos N. Plataniotis Arash Mohammadi	1
+ PDF Chat	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization	2019	Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra	1
+ PDF Chat	Automatic classification between COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy on chest X-ray image: combination of data augmentation methods	2020	Mizuho Nishio Shunjiro Noguchi H Matsuo Takamichi Murakami	1
+	COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases From Chest CT Images	2020	Hayden Gunraj Linda Wang Alexander Wong	1
+	Generative Adversarial Networks	2014	Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville Yoshua Bengio	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
+	Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2016	Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi	1
+ PDF Chat	Learning Deep Features for Discriminative Localization	2016	Bolei Zhou Aditya Khosla Àgata Lapedriza Aude Oliva Antonio Torralba	1
+	Fully Convolutional Networks for Semantic Segmentation	2016	Evan Shelhamer Jonathan Long Trevor Darrell	1
+	Mask R-CNN	2017	Kaiming He Georgia Gkioxari Piotr Dollár Ross Girshick	1
+	Abnormality Detection and Localization in Chest X-Rays using Deep Convolutional Neural Networks	2017	Mohammad Tariqul Islam Abdul Aowal Ahmed Tahseen Minhaz Khalid Ashraf	1
+	Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation	2018	Andrew Howard Andrey Zhmoginov Liang-Chieh Chen Mark Sandler Menglong Zhu	1
+	Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation	2018	Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam	1
+	MobileNetV2: Inverted Residuals and Linear Bottlenecks	2018	Mark Sandler Andrew Howard Menglong Zhu Andrey Zhmoginov Liang-Chieh Chen	1
+	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	1
+	SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-rays	2017	Wei Dai Joseph Doyle Xiaodan Liang Hao Zhang Nanqing Dong Yuan Li Eric P. Xing	1
+	Image-to-Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography	2020	Mohammad Eslami Solale Tabarestani Shadi Albarqouni Ehsan Adeli Nassir Navab Malek Adjouadi	1
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+ PDF Chat	Image-to-Image Translation with Conditional Adversarial Networks	2017	Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros	1
+ 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	1
+ PDF Chat	Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2017	Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi	1
+	Attention U-Net Based Adversarial Architectures for Chest X-ray Lung Segmentation	2020	Gusztáv Gaál Balázs Maga András Lukács	1
+	COVID-19 Image Data Collection	2020	Joseph Cohen Paul Morrison Lan Dao	1