Siddharth Biswal

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All published works

Action	Title	Year	Authors
+	Automated Respiratory Event Detection Using Deep Neural Networks	2021	Thijs E. Nassi Wolfgang Ganglberger Haoqi Sun Abigail A. Bucklin Siddharth Biswal Michel J. A. M. van Putten Robert J. Thomas M. Brandon Westover
+ PDF Chat	EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders	2020	Siddharth Biswal Soumya Ghosh Jon Duke Bradley Malin Walter F. Stewart Jimeng Sun
+ PDF Chat	CLARA: Clinical Report Auto-completion	2020	Siddharth Biswal Cao Xiao Lucas M. Glass Brandon Westover Jimeng Sun
+ PDF Chat	CONAN: Complementary Pattern Augmentation for Rare Disease Detection	2020	Limeng Cui Siddharth Biswal Lucas M. Glass Greg Lever Jimeng Sun Cao Xiao
+ PDF Chat	Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment	2020	Siddharth Biswal Cao Xiao Lucas M. Glass Elizabeth Milkovits Jimeng Sun
+	CLARA: Clinical Report Auto-completion	2020	Siddharth Biswal Cao Xiao Lucas M. Glass M. Brandon Westover Jimeng Sun
+	EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision	2020	Siddharth Biswal Peiye Zhuang Ayis Pyrros Nasir Siddiqui Sanmi Koyejo Jimeng Sun
+	EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders	2020	Siddharth Biswal Soumya Ghosh Jon Duke Bradley Malin Walter F. Stewart Jimeng Sun
+	CONAN: Complementary Pattern Augmentation for Rare Disease Detection	2019	Limeng Cui Siddharth Biswal Lucas M. Glass Greg Lever Jimeng Sun Cao Xiao
+	Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment	2019	Siddharth Biswal Cao Xiao Lucas M. Glass Elizabeth Milkovits Jimeng Sun
+	HAMLET: Interpretable Human And Machine co-LEarning Technique	2018	Olivier Deiss Siddharth Biswal Jing Jin Haoqi Sun M. Brandon Westover Jimeng Sun
+	RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data	2018	Yanbo Xu Siddharth Biswal Shriprasad R. Deshpande Kevin Maher Jimeng Sun
+	Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks.	2017	Edward Choi Siddharth Biswal Bradley Malin Jon Duke Walter F. Stewart Jimeng Sun
+	Generating Multi-label Discrete Patient Records using Generative Adversarial Networks	2017	Edward Choi Siddharth Biswal Bradley Malin Jon Duke Walter F. Stewart Jimeng Sun
+	SLEEPNET: Automated Sleep Staging System via Deep Learning	2017	Siddharth Biswal Joshua A. Kulas Haoqi Sun Balaji Goparaju M. Brandon Westover Matt T. Bianchi Jimeng Sun

Common Coauthors

Coauthor	Papers Together
Jimeng Sun	14
Cao Xiao	6
Lucas M. Glass	6
M. Brandon Westover	4
Jon Duke	4
Walter F. Stewart	4
Bradley Malin	4
Haoqi Sun	3
Elizabeth Milkovits	2
Soumya Ghosh	2
Limeng Cui	2
Edward Choi	2
Greg Lever	2
Shriprasad R. Deshpande	1
Sanmi Koyejo	1
Jing Jin	1
Nasir Siddiqui	1
Thijs E. Nassi	1
Peiye Zhuang	1
Olivier Deiss	1
Wolfgang Ganglberger	1
Balaji Goparaju	1
Kevin Maher	1
Yanbo Xu	1
Robert J. Thomas	1
Abigail A. Bucklin	1
Joshua A. Kulas	1
Ayis Pyrros	1
Brandon Westover	1
Michel J. A. M. van Putten	1
Matt T. Bianchi	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism	2016	Edward Choi Mohammad Taha Bahadori Jimeng Sun Joshua A. Kulas Andy Schuetz Walter F. Stewart	5
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	4
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	4
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	3
+ PDF Chat	On the Automatic Generation of Medical Imaging Reports	2018	Baoyu Jing Pengtao Xie Eric P. Xing	3
+ 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	3
+	Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation	2018	Yuan Li Xiaodan Liang Zhiting Hu Eric P. Xing	3
+ PDF Chat	CIDEr: Consensus-based image description evaluation	2015	Ramakrishna Vedantam C. Lawrence Zitnick Devi Parikh	3
+	Doctor AI: Predicting Clinical Events via Recurrent Neural Networks	2015	Edward Choi Mohammad Taha Bahadori Andy Schuetz Walter F. Stewart Jimeng Sun	3
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	3
+	Conditional Generative Adversarial Nets	2014	Mehdi Mirza Simon Osindero	3
+	Pre-training of Graph Augmented Transformers for Medication Recommendation	2019	Junyuan Shang Tengfei Ma Cao Xiao Jimeng Sun	2
+	Integrating the Probabilistic Models BM25/BM25F into Lucene	2009	Joaquín Pérez-Iglesias José R. Pérez-Agüera Víctor Fresno Yuval Z. Feinstein	2
+ PDF Chat	SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient	2017	Lantao Yu Weinan Zhang Jun Wang Yong Yu	2
+ PDF Chat	Show and tell: A neural image caption generator	2015	Oriol Vinyals Alexander Toshev Samy Bengio Dumitru Erhan	2
+	Modeling documents with Generative Adversarial Networks	2016	J. Glover	2
+ PDF Chat	A Hierarchical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion	2015	Alessandro Sordoni Yoshua Bengio Hossein Vahabi Christina Lioma Jakob Grue Simonsen Jian‐Yun Nie	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
+	Unrolled Generative Adversarial Networks	2016	Luke Metz Ben Poole David Pfau Jascha Sohl‐Dickstein	2
+	MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare	2018	Edward Choi Cao Xiao Walter F. Stewart Jimeng Sun	2
+	Improved Techniques for Training GANs	2016	Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen	2
+	GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution	2016	Matt J. Kusner José Miguel Hernández-Lobato	2
+ PDF Chat	Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning	2017	Jiasen Lu Caiming Xiong Devi Parikh Richard Socher	2
+	Pixel Recurrent Neural Networks	2016	Aäron van den Oord Nal Kalchbrenner Koray Kavukcuoglu	2
+	Learning to Diagnose with LSTM Recurrent Neural Networks	2015	Zachary C. Lipton David C. Kale Charles Elkan Randall C. Wetzel	2
+	Optimizing clinical trials recruitment via deep learning	2019	Jelena Gligorijević Djordje Gligorijevic Martin Pavlovski Elizabeth Milkovits Lucas M. Glass Kevin Grier Praveen Vankireddy Zoran Obradović	2
+	Translating Videos to Natural Language Using Deep Recurrent Neural Networks	2015	Subhashini Venugopalan Huijuan Xu Jeff Donahue Marcus Rohrbach Raymond J. Mooney Kate Saenko	2
+ PDF Chat	Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records	2017	Zhengping Che Yu Cheng Shuangfei Zhai Zhaonan Sun Yan Liu	2
+	A Neural Compositional Paradigm for Image Captioning	2018	Bo Dai Sanja Fidler Dahua Lin	2
+	Show-and-Fool: Crafting Adversarial Examples for Neural Image Captioning.	2017	Hongge Chen Huan Zhang Pin‐Yu Chen Jinfeng Yi Cho‐Jui Hsieh	2
+	Producing radiologist-quality reports for interpretable artificial intelligence	2018	William A. Gale Luke Oakden‐Rayner Gustavo Carneiro Andrew P. Bradley Lyle J. Palmer	2
+	Generating Multi-label Discrete Patient Records using Generative Adversarial Networks	2017	Edward Choi Siddharth Biswal Bradley Malin Jon Duke Walter F. Stewart Jimeng Sun	2
+ PDF Chat	Describing Videos by Exploiting Temporal Structure	2015	Li Yao Atousa Torabi Kyunghyun Cho Nicolas Ballas Christopher Pal Hugo Larochelle Aaron Courville	2
+	MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network	2017	Zizhao Zhang Yuanpu Xie Fuyong Xing Mason McGough Lin Yang	2
+ PDF Chat	Image Captioning with Semantic Attention	2016	Quanzeng You Hailin Jin Zhaowen Wang Fang Chen Jiebo Luo	2
+	MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare	2018	Edward Choi Cao Xiao Walter F. Stewart Jimeng Sun	2
+	Captioning Images with Diverse Objects	2016	Subhashini Venugopalan Lisa Anne Hendricks Marcus Rohrbach Raymond J. Mooney Trevor Darrell Kate Saenko	2
+ PDF Chat	Deep visual-semantic alignments for generating image descriptions	2015	Andrej Karpathy Li Fei-Fei	2
+	Generative Adversarial Text to Image Synthesis	2016	Scott Reed Zeynep Akata Xinchen Yan Lajanugen Logeswaran Bernt Schiele Honglak Lee	2
+ PDF Chat	SMOTE: Synthetic Minority Over-sampling Technique	2002	Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Philip Kegelmeyer	2
+	Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks	2015	Emily Denton Soumith Chintala Arthur Szlam Rob Fergus	2
+	Categorical Reparameterization with Gumbel-Softmax	2016	Eric Jang Shixiang Gu Ben Poole	2
+ PDF Chat	A Hierarchical Approach for Generating Descriptive Image Paragraphs	2017	Jonathan Krause Justin Johnson Ranjay Krishna Li Fei-Fei	2
+	Prototypical Networks for Few-shot Learning	2017	Jake Snell Kevin Swersky Richard S. Zemel	2
+	Self-critical Sequence Training for Image Captioning	2016	Steven J. Rennie Etienne Marcheret Youssef Mroueh Jarret Ross Vaibhava Goel	2
+ PDF Chat	Deep Learning for Case-Based Reasoning Through Prototypes: A Neural Network That Explains Its Predictions	2018	Oscar Li Hao Liu Chaofan Chen Cynthia Rudin	2
+	Knowledge-driven Encode, Retrieve, Paraphrase for Medical Image Report Generation	2019	Christy Y. Li Xiaodan Liang Zhiting Hu Eric P. Xing	2
+ PDF Chat	Key-Value Memory Networks for Directly Reading Documents	2016	Alexander Miller Adam Fisch Jesse Dodge Amir-Hossein Karimi Antoine Bordes Jason Weston	2
+ PDF Chat	Learning from positive and unlabeled data: a survey	2020	Jessa Bekker Jesse Davis	2