Y. Q. Wang and G. Palma 3D Binary Lesion Mask Parsing (Digital Medicine and Image Processing, 2022)
Y. Q. Wang and G. Palma Liver Segmentation Quality Control in Multi-Sequence MR Studies (Multiscale Multimodal Medical Imaging, 2022) html
W. Siblini and Y. Q. Wang Master your metrics with calibration (International Symposium on Intelligent Data Analysis, 2020)
Y. Q. Wang Adversarial confidence and smoothness regularizations for scalable unsupervised discriminative learning (submitted)
Y. Q. Wang, A. Trouvé, Y. Amit, B. Nadler Detecting curved edges in noisy images in sublinear time (Journal Of Mathematical Imaging and Vision, 2016). html.
Y. Q. Wang A note on the size of denoising neural networks (SIAM Journal Of Imaging Sciences, 2015).
Y. Q. Wang A Multilayer Neural Network for Image Demosaicking (IEEE International Conference on Image Processing, 2014). Demo link here.
Y. Q. Wang An Analysis of the Viola-Jones Face Detection Algorithm (Image Processing On Line, 2014).
Y. Q. Wang and J. M. Morel Can a Single Image Denoising Neural Network Handle All Levels of Gaussian Noise? (IEEE Signal Processing Letters, 2014). Code here.
Y. Q. Wang EPLE: un algorithme d'inpainting performant (in French, Symposium on Signal and Image Processing GRETSI, 2013). Code and demo link here.
Y. Q. Wang and J. M. Morel SURE Guided Gaussian Mixture Image Denoising (SIAM Journal of Imaging Sciences, 2013). Code and demo link here.
Y. Q. Wang and G. Palma Segmentation Quality Check for Multi-Acquisition Studies (filed in 2022)
P. E. Fernandez, Y. Q. Wang and G. Palma A Method to Detect and Fuse Focal Lesions in Multi-Phase or Multi-Sequence Medical Imaging Studies (filed in 2021)
Y. Q. Wang, M. Raboh, D. Levanony and G. Palma Multi-Phase Object Contour Refinement (filed in 2020)
G. Palma and Y. Q. Wang Refining Lesion Contours with Combined Active Contour and In-Painting Method (filed in 2020)
Y. Q. Wang and G. Palma Logistic Model to Determine 3D Z-wise Lesion Connectivity (filed in 2020)
Y. Q. Wang and G. Palma Seed Based Method to Determine 2D Lesion Connectivity (filed in 2020)
Liver CT Lesion Detection AI Pipeline (filed in 2020)
Download the training dataset (2.6G) used in my Viola-Jones face detector implementation.
Download the training dataset (505M) used in my neural demosaicing implementation.
Introduction à l'apprentissage statistique (TD 2013-2015)
• Bayes Classifier, Perceptron and KKT Conditions
• Excess Risk, Consistency and Histogram Rule
• K Nearest Neighbors and its Consistency
• Plug-In Rule and Maximum Likelihood Inference
Introduction to statistical inference and learning (2015-2016)