Name: Sebastian Otálora
Type: User
Company: Kaiko.ai
Bio: Machine learning engineer at Kaiko.ai
Applying foundation models to medical data, to find those patterns that will give us a healthier and happier life!
Twitter: sebastianffx
Location: Lausanne, Switzerland
Blog: https://sites.google.com/site/jsotaloram/
Sebastian Otálora's Projects
Repo for usefull scripts related to my Msc thesis
replication of the paper AIFNet: Automatic vascular function estimation for perfusion analysis using deep learning from de la Rosa et al
Information Page for the Universidad Catolica's Algorithms course that I taught on 2016-1
Computer Programming - Catholic University 2016-1
Computer Programming - Catholic University 2016-1
This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/
Federated learning for medical image segmentation in heterogenous scenarios using deep learning.
Multiscale descriptors and GCNN for Gleason Grading and Survival
Generating highly accurate pathology reports from gigapixel whole slide images with HistoGPT
Detection of scale in histopathology images
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
Multimodal deep learning from diagnostic reports and Whole Slide Images
Tutorial App of the Google Android Development course on Udacity
unsupervised cell-level visual representation learning
Using adversarial feature learning and color augmentation to address the variability in histopathology images
Python 3 library for the augmentation & normalization of H&E images
Talleres de aprendizaje para los desarrolladores