Angelica I. Avilés-Rivero

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

Michael Roberts, Derek Driggs, Matthew Thorpe et al. · Research Explorer (The University of Manchester) · 2020 · 937 citations · Full text

Towards Retrieving Force Feedback in Robotic-Assisted Surgery: A Supervised Neuro-Recurrent-Vision Approach

Angelica I. Avilés-Rivero, Samar M. Alsaleh, James K. Hahn et al. · IEEE Transactions on Haptics · 2016 · 97 citations · Full text

Engineering, Machine Learning, Human Pose Estimation +27

A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation

Rihuan Ke, Angelica I. Avilés-Rivero, Saurabh Pandey et al. · IEEE Transactions on Image Processing · 2022 · 62 citations · Full text

Scene Analysis, Engineering, Machine Learning +18

Contrastive Registration for Unsupervised Medical Image Segmentation

Lihao Liu, Angelica I. Avilés-Rivero, Carola‐Bibiane Schönlieb · IEEE Transactions on Neural Networks and Learning Systems · 2023 · 52 citations

Convolutional Neural Network, Medical Image Segmentation, Engineering +20

CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting

Simon Graham, Quoc Dang Vu, Mostafa Jahanifar et al. · Medical Image Analysis · 2023 · 51 citations · Full text