GP-GAN: Brain tumor growth prediction using stacked 3D generative adversarial networks from longitudinal MR Images

Skin lesion segmentation via generative adversarial networks with dual discriminators

(2020) Baiying Lei et al.   MEDICAL IMAGE ANALYSIS

BPGAN: Bidirectional CT-to-MRI prediction using multi-generative multi-adversarial nets with spectral normalization and localization

(2020) Liming Xu et al.   NEURAL NETWORKS

Generative adversarial networks with decoder–encoder output noises

(2020) Guoqiang Zhong et al.   NEURAL NETWORKS

Generative Adversarial Networks are special cases of Artificial Curiosity (1990) and also closely related to Predictability Minimization (1991)

(2020) Jürgen Schmidhuber   NEURAL NETWORKS

Investigating object compositionality in Generative Adversarial Networks

(2020) Sjoerd van Steenkiste et al.   NEURAL NETWORKS

Multi-Channel 3D Deep Feature Learning for Survival Time Prediction of Brain Tumor Patients Using Multi-Modal Neuroimages

(2019) Dong Nie et al.   Scientific Reports

f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks

(2019) Thomas Schlegl et al.   MEDICAL IMAGE ANALYSIS

An optimized generic cerebral tumor growth modeling framework by coupling biomechanical and diffusive models with treatment effects

(2019) Ahmed Elazab et al.   APPLIED SOFT COMPUTING

A Universal Intensity Standardization Method Based on a Many-to-One Weak-Paired Cycle Generative Adversarial Network for Magnetic Resonance Images

(2019) Yuan Gao et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference

(2019) Jana Lipkova et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Toward predicting the evolution of lung tumors during radiotherapy observed on a longitudinal MR imaging study via a deep learning algorithm

(2019) Chuang Wang et al.   MEDICAL PHYSICS

Deep learning derived tumor infiltration maps for personalized target definition in Glioblastoma radiotherapy

(2019) Jan C. Peeken et al.   RADIOTHERAPY AND ONCOLOGY

Generative adversarial network in medical imaging: A review

(2019) Xin Yi et al.   MEDICAL IMAGE ANALYSIS

Convolutional Invasion and Expansion Networks for Tumor Growth Prediction

(2018) Ling Zhang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

3D conditional generative adversarial networks for high-quality PET image estimation at low dose

(2018) Yan Wang et al.   NEUROIMAGE

Macroscopic Cerebral Tumor Growth Modeling From Medical Images: A Review

(2018) Ahmed Elazab et al.   IEEE Access

Towards patient-specific modeling of brain tumor growth and formation of secondary nodes guided by DTI-MRI

(2018) Stelios Angeli et al.   NeuroImage-Clinical

Towards cross-modal organ translation and segmentation: A cycle- and shape-consistent generative adversarial network

(2018) Jinzheng Cai et al.   MEDICAL IMAGE ANALYSIS

Pancreatic Tumor Growth Prediction With Elastic-Growth Decomposition, Image-Derived Motion, and FDM-FEM Coupling

(2017) Ken C. L. Wong et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

DeepPap: Deep Convolutional Networks for Cervical Cell Classification

(2017) Ling Zhang et al.   IEEE Journal of Biomedical and Health Informatics

Post-Surgery Glioma Growth Modeling from Magnetic Resonance Images for Patients with Treatment

(2017) Ahmed Elazab et al.   Scientific Reports

Survival in glioblastoma: a review on the impact of treatment modalities

(2016) P. D. Delgado-López et al.   Clinical & Translational Oncology

Improving Computer-Aided Detection Using_newlineConvolutional Neural Networks and Random View Aggregation

(2016) Holger R. Roth et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Brain glioma growth model using reaction-diffusion equation with viscous stress tensor on brain MR images

(2016) Jianjun Yuan et al.   MAGNETIC RESONANCE IMAGING

Joint tumor growth prediction and tumor segmentation on therapeutic follow-up PET images

(2015) Hongmei Mi et al.   MEDICAL IMAGE ANALYSIS

Deep learning

(2015) Yann LeCun et al.   NATURE

Prediction of Lung Tumor Evolution During Radiotherapy in Individual Patients With PET

(2014) Hongmei Mi et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Mathematical modelling of cancer invasion: Implications of cell adhesion variability for tumour infiltrative growth patterns

(2014) Pia Domschke et al.   JOURNAL OF THEORETICAL BIOLOGY

Patient specific tumor growth prediction using multimodal images

(2014) Yixun Liu et al.   MEDICAL IMAGE ANALYSIS

Mathematical modeling of brain glioma growth using modified reaction–diffusion equation on brain MR images

(2013) Jianjun Yuan et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Mathematical modelling of glioma growth: The use of Diffusion Tensor Imaging (DTI) data to predict the anisotropic pathways of cancer invasion

(2013) K.J. Painter et al.   JOURNAL OF THEORETICAL BIOLOGY

Tumor growth parameters estimation and source localization from a unique time point: Application to low-grade gliomas

(2012) Islem Rekik et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

Kidney Tumor Growth Prediction by Coupling Reaction–Diffusion and Biomechanical Model

(2012) Xinjian Chen et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Genetics of adult glioma

(2012) McKinsey L. Goodenberger et al.   Cancer Genetics

Image Guided Personalization of Reaction-Diffusion Type Tumor Growth Models Using Modified Anisotropic Eikonal Equations

(2009) E. Konukoglu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Simulation of brain tumors in MR images for evaluation of segmentation efficacy

(2008) Marcel Prastawa et al.   MEDICAL IMAGE ANALYSIS