"Generative adversarial networks in medical imaging"

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Book	Author(s)	Year	Publisher
Generative Adversarial Networks Projects	Kailash Ahirwar	2018-10-31	Packt Publishing
Generative Adversarial Networks with Python	Jason Brownlee	2020
Generative Adversarial Networks for Image Generation	Xudong Mao; Qing Li	1st ed. 2021	Springer Nature Singapore
GANs in Action: Deep learning with Generative Adversarial Networks	Jakub Langr, Vladimir Bok	2019	Manning Publications
GANs in Action: Deep learning with Generative Adversarial Networks	Jakub Langr, Vladimir Bok	2019	Manning Publications
Generative Adversarial Networks for Image-to-Image Translation	Anand Nayyar; Arun Solanki and Mohd Naved	2021	Academic Press
Hands-On Generative Adversarial Networks with PyTorch 1. x	John Hany, Greg Walters	2019	Packt Publishing
Generative Adversarial Networks Projects: Build Next-Generation Generative Models Using TensorFlow and Keras.	Ahirwar, Kailash	2019	Packt Publishing Ltd
Generative Adversarial Networks Cookbook: Over 100 recipes to build generative models using Python, TensorFlow, and Keras	Josh Kalin	2018	Packt Publishing
Generative Adversarial Learning: Architectures and Applications	Roozbeh Razavi-Far; Ariel Ruiz-Garcia; Vasile Palade; Juergen Schmidhuber	1st ed. 2022	Springer International Publishing
Progress in Medical Imaging	Vernon L. Newhouse	1988	Springer New York
Nanobiomaterials in Medical Imaging	Alexandru Grumezescu	2016	William Andrew Publishing
Informatics in Medical Imaging	George C. Kagadis; Steve G. Langer	2011	Routledge
Medical imaging	Harry LeVine	2010	ABC-CLIO
Medical Imaging	Okechukwu Felix Erondu	2011	Marija Radja
Medical imaging	Peter Scally	1999	Oxford University Press
Medical Imaging in Clinical Trials	Colin G. Miller; Joel Krasnow; Lawrence H. Schwartz	2014	Springer London
Information Processing in Medical Imaging	C.N. De Graaff; M.A. Viergever	1988	Springer US
Pattern Recognition in Medical Imaging	Anke Meyer-Bäse	2004	Academic Press
Information Processing In Medical Imaging	Douglas Ortendahl	1991	John Wiley & Sons
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Showing 1 to 20 of 100 entries

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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Generative adversarial networks in medical imaging	Jeremiah W. Johnson	State of the Art in Neural Networks and their Applications	Ayman S. El-Baz and Jasjit S. Suri	2021	Academic Press
Generative Adversarial Networks	Momiao Xiong	Artificial Intelligence and Causal Inference	Momiao Xiong	2022	Routledge
Generative Adversarial Networks	Xiangming Zeng; Liangqu Long	Beginning Deep Learning with TensorFlow: Work with Keras, MNIST Data Sets, and Advanced Neural Networks	Liangqu Long; Xiangming Zeng	1st ed.	Apress
Generative Adversarial Networks	Jakub M. Tomczak	Deep Generative Modeling	Jakub M. Tomczak	1st ed. 2022	Springer International Publishing
Generative adversarial networks		Generative AI with Python and TensorFlow 2: Create images, text, and music with VAEs, GANs, LSTMs, Transformer models	Joseph Babcock, Raghav Bali	2021	Packt Publishing
Generative Adversarial Networks		The Hundred-Page Machine Learning Book	Andriy Burkov	2019	Andriy Burkov
Generative Adversarial Networks		Machine and Deep Learning Algorithms and Applications	Uday Shankar Shanthamallu, Andreas Spanias	2021	Morgan & Claypool
Generative Adversarial Networks		Practical Deep Learning: A Python-Based Introduction	Ron Kneusel	2021	No Starch Press
Generative adversarial networks		Intelligent Projects Using Python: 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras	Santanu Pattanayak	2019	Packt Publishing
Generative Adversarial Networks		Tensorflow for Deep Learning: From Linear Regression to Reinforcement Learning	Bharath Ramsundar	2018	O'Reilly Media
Generative adversarial networks		HANDS-ON REINFORCEMENT LEARNING WITH PYTHON -: master reinforcement and deep reinforcement. . . learning from scratch using openai gym and tensorf.	SUDHARSAN RAVICHANDIRAN	2020	PACKT PUBLISHING LIMITED
Generative Adversarial Networks		The Deep Learning Workshop: Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras: Take a. . . that can recognize images and interpret text	Mirza Rahim Baig, Thomas V. Joseph, Nipun Sadvilkar, Mohan Kumar Silaparasetty, Anthony So	2020	Packt Publishing
Generative Adversarial Networks		the APPLIED TENSORFLOW AND KERAS WORKSHOP - build your practical skills by working through a real. . . -world project - a bitcoin price prediction tracke.	HARVEEN SINGH CAPELO LUIS CHADHA	2020	PACKT PUBLISHING LIMITED
Generative Adversarial Networks		AI for Data Science: Artificial Intelligence Frameworks and Functionality for Deep Learning, Optimization, and Beyond	Zacharias Voulgaris, Yunus Emrah Bulut	2018	Technics Publications
Generative Adversarial Networks		40 Algorithms Every Programmer Should Know: Hone your problem-solving skills by learning different algorithms and their implementation in Python	Imran Ahmad	2020	Packt Publishing
Generative adversarial networks		Deep learning with PyTorch: a practical approach to building neural network models using PyTorch	Subramanian, Vishnu	2018	Packt Publishing
Generative adversarial networks		Deep learning with Theano: build the artificial brain of the future, today	Bourez, Christopher	2017	Packt Publishing Limited
Generative Adversarial Networks		Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - Concepts, Tools, and Techniques to Build Intelligent Systems, 2nd Edition	Aurélien Géron	2019	O'Reilly
Generative adversarial networks		PyTorch Deep Learning Hands-On: Build CNNs, RNNs, GANs, reinforcement learning, and more, quickly and easily	Sherin Thomas, Sudhanshu Passi	2019	Packt Publishing
Generative adversarial networks		Machine Learning Theory to Applications: Theory to Applications	Seyedeh Leili Mirtaheri, Reza Shahbazian	2022	CRC Press
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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