Fetching the paper…
Reading the bibliography…
Recent advances in computer vision have shown promising results in image generation.
On standardizing the MR image intensity scale
L. G. Nyúl and J. K. Udupa · 1999
Earlier work this paper cites.
Multiscale Structural Similarity for Image Quality Assessment
Z. Wang, E.P. Simoncelli, and A.C. Bovik · 2003
Earlier work this paper cites.
Alzheimer’s Disease Neuroimaging Initiative (ADNI): Clinical characterization
R.C. Petersen, P.S. Aisen, L.A. Beckett, M.C. Donohue, A.C. Gamst, D.J. Harvey, C.R. Jack, W.J. Jagust, L.M. Shaw, A.W. Toga, J.Q. Trojanowski, and M.W. Weiner · 2010
Earlier work this paper cites.
The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository
Kenneth Clark, Bruce Vendt, Kirk Smith, John Freymann, Justin Kirby, Paul Koppel, Stephen Moore, Stanley Phillips, David Maffitt, Michael Pringle, Lawrence Tarbox, and Fred Prior · 2013
Earlier work this paper cites.
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
Earlier work this paper cites.
The Image and Data Archive at the Laboratory of Neuro Imaging
Karen L. Crawford, Scott C. Neu, and Arthur W. Toga · 2016
Earlier work this paper cites.
Neural Discrete Representation Learning
Aaron van den Oord, Oriol Vinyals, and koray kavukcuoglu · 2017
Earlier work this paper cites.
Deep-Learning-Assisted Diagnosis for Knee Magnetic Resonance Imaging: Development and Retrospective Validation of MRNet
Nicholas Bien, Pranav Rajpurkar, Robyn L. Ball, Jeremy Irvin, Allison Park, Erik Jones, Michael Bereket, Bhavik N. Patel, Kristen W. Yeom, Katie Shpanskaya, Safwan Halabi, Evan Zucker, Gary Fanton, Derek F. Amanatullah, Christopher F. Beaulieu, Geoffrey M. Riley, Russell J. Stewart, Francis G. Blankenberg, David B. Larson, Ricky H. Jones, Curtis P. Langlotz, Andrew Y. Ng, and Matthew P. Lungren · 2018
Earlier work this paper cites.
A Machine Learning Approach to Radiogenomics of Breast Cancer: A Study of 922 Subjects and 529 DCE-MRI Features
Ashirbani Saha, Michael R. Harowicz, Lars J. Grimm, Connie E. Kim, Sujata V. Ghate, Ruth Walsh, and Maciej A. Mazurowski · 2018
Earlier work this paper cites.
Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Networks
Gihyun Kwon, Chihye Han, and Dae-shik Kim · 2019
Earlier work this paper cites.
Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-Based CT Image Augmentation for Object Detection
Changhee Han, Yoshiro Kitamura, Akira Kudo, Akimichi Ichinose, Leonardo Rundo, Yujiro Furukawa, Kazuki Umemoto, Yuanzhong Li, and Hideki Nakayama · 2019
Earlier work this paper cites.
Generating Diverse High-Fidelity Images With VQ-VAE-2
Ali Razavi, Aaron van den Oord, and Oriol Vinyals · 2019
Cited alongside, same era.
Breaking Medical Data Sharing Boundaries by Using Synthesized Radiographs
Tianyu Han, Sven Nebelung, Christoph Haarburger, Nicolas Horst, Sebastian Reinartz, Dorit Merhof, Fabian Kiessling, Volkmar Schulz, and Daniel Truhn · 2020
Cited alongside, same era.
Catastrophic Forgetting and Mode Collapse in GANs
Hoang Thanh-Tung and Truyen Tran · 2020
Cited alongside, same era.
Denoising Diffusion Probabilistic Models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Cited alongside, same era.
Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis
Ravi Aggarwal, Viknesh Sounderajah, Guy Martin, Daniel S. W. Ting, Alan Karthikesalingam, Dominic King, Hutan Ashrafian, and Ara Darzi · 2021
Cited alongside, same era.
Synthetic Data in Machine Learning for Medicine and Healthcare
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S. Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J. Fleet, and Mohammad Norouzi · 2022
Closest in time.
High-Resolution Image Synthesis With Latent Diffusion Models, April 2022
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Closest in time.
Medical Domain Knowledge in Domain-Agnostic Generative AI
Jakob Nikolas Kather, Narmin Ghaffari Laleh, Sebastian Foersch, and Daniel Truhn · 2022
Closest in time.
Brain Imaging Generation With Latent Diffusion Models, September 2022
Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F. da Costa, Virginia Fernandez, Parashkev Nachev, Sebastien Ourselin, and M. Jorge Cardoso · 2022
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Richard J. Chen, Ming Y. Lu, Tiffany Y. Chen, Drew F. K. Williamson, and Faisal Mahmood · 2021
Cited alongside, same era.
3D Fluorescence Microscopy Data Synthesis for Segmentation and Benchmarking
Dennis Eschweiler, Malte Rethwisch, Mareike Jarchow, Simon Koppers, and Johannes Stegmaier · 2021
Cited alongside, same era.
When Medical Images Meet Generative Adversarial Network: Recent Development and Research Opportunities
Xiang Li, Yuchen Jiang, Juan J. Rodriguez-Andina, Hao Luo, Shen Yin, and Okyay Kaynak · 2021
Cited alongside, same era.
Taming Transformers for High-Resolution Image Synthesis
Patrick Esser, Robin Rombach, and Bjorn Ommer · 2021
Cited alongside, same era.
Image Prediction of Disease Progression for Osteoarthritis by Style-Based Manifold Extrapolation
Tianyu Han, Jakob Nikolas Kather, Federico Pedersoli, Markus Zimmermann, Sebastian Keil, Maximilian Schulze-Hagen, Marc Terwoelbeck, Peter Isfort, Christoph Haarburger, Fabian Kiessling, Christiane Kuhl, Volkmar Schulz, Sven Nebelung, and Daniel Truhn · 2022
Cited alongside, same era.
Hierarchical Text-Conditional Image Generation With CLIP Latents, April 2022
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
Cited alongside, same era.
The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans
Samuel G. Armato, Geoffrey McLennan, Luc Bidaut, Michael F. McNitt-Gray, Charles R. Meyer, Anthony P. Reeves, Binsheng Zhao, Denise R. Aberle, Claudia I. Henschke, Eric A. Hoffman, Ella A. Kazerooni, Heber MacMahon, Edwin J. R. van Beek, David Yankelevitz, Alberto M. Biancardi, Peyton H. Bland, Matthew S. Brown, Roger M. Engelmann, Gary E. Laderach, Daniel Max, Richard C. Pais, David P.-Y. Qing, Rachael Y. Roberts, Amanda R. Smith, Adam Starkey, Poonam Batra, Philip Caligiuri, Ali Farooqi, Gregory W. Gladish, C. Matilda Jude, Reginald F. Munden, Iva Petkovska, Leslie E. Quint, Lawrence H. Schwartz, Baskaran Sundaram, Lori E. Dodd, Charles Fenimore, David Gur, Nicholas Petrick, John Freymann, Justin Kirby, Brian Hughes, Alessi Vande Casteele, Sangeeta Gupte, Maha Sallam, Michael D. Heath, Michael H. Kuhn, Ekta Dharaiya, Richard Burns, David S. Fryd, Marcos Salganicoff, Vikram Anand, Uri Shreter, Stephen Vastagh, Barbara Y. Croft, and Laurence P. Clarke
Cited in the paper.
Three-Dimensional Medical Image Synthesis With Denoising Diffusion Probabilistic Models
Zolnamar Dorjsembe, Sodtavilan Odonchimed, and Furen Xiao · 2022
Closest in time.
Diffusion Deformable Model for 4D Temporal Medical Image Generation, June 2022
Boah Kim and Jong Chul Ye · 2022
Closest in time.
Long Video Generation With Time-Agnostic VQGAN and Time-Sensitive Transformer, September 2022
Songwei Ge, Thomas Hayes, Harry Yang, Xi Yin, Guan Pang, David Jacobs, Jia-Bin Huang, and Devi Parikh · 2022
Closest in time.
Video Diffusion Models, June 2022
Jonathan Ho, Tim Salimans, Alexey Gritsenko, William Chan, Mohammad Norouzi, and David J. Fleet · 2022
Closest in time.
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis, March 2022
Yucheng Tang, Dong Yang, Wenqi Li, Holger Roth, Bennett Landman, Daguang Xu, Vishwesh Nath, and Ali Hatamizadeh · 2022
Closest in time.
Swarm Learning for Decentralized Artificial Intelligence in Cancer Histopathology
Oliver Lester Saldanha, Philip Quirke, Nicholas P. West, Jacqueline A. James, Maurice B. Loughrey, Heike I. Grabsch, Manuel Salto-Tellez, Elizabeth Alwers, Didem Cifci, Narmin Ghaffari Laleh, Tobias Seibel, Richard Gray, Gordon G. A. Hutchins, Hermann Brenner, Marko van Treeck, Tanwei Yuan, Titus J. Brinker, Jenny Chang-Claude, Firas Khader, Andreas Schuppert, Tom Luedde, Christian Trautwein, Hannah Sophie Muti, Sebastian Foersch, Michael Hoffmeister, Daniel Truhn, and Jakob Nikolas Kather · 2022
Closest in time.