This is an incomplete list of publications with open access PDFs when available.
See my profile on Google Scholar or Semantic Scholar for a full list of papers.
Generating Artificial Artifacts for Motion Artifact Detection in Chest CT.
Presented at MICCAI 2022 SASHIMI workshop, September 2022.
Multi-view Analysis of Unregistered Medical Images Using Cross-View Transformers.
Presented at MICCAI 2021, September 2021.
Multi-Task Attention-Based Semi-supervised Learning for Medical Image Segmentation.
Learning Cross-Modality Representations from Multi-Modal Images.
IEEE Transactions on Medical Imaging, September 2018.
Representation Learning for Cross-Modality Classification.
Presented at the MICCAI 2016 Workshop on Medical Computer Vision, October 2016.
Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks.
Combining Generative and Discriminative Representation Learning for Lung CT Analysis with Convolutional Restricted Boltzmann Machines.
IEEE Transactions on Medical Imaging, May 2016.
Theano: A Python framework for fast computation of mathematical expressions.
ArXiv, May 2016.
Why Does Synthesized Data Improve Multi-sequence Classification?
Oral presentation at MICCAI 2015, October 2015.
Learning Features for Tissue Classification with the Classification Restricted Boltzmann Machine.
Presented at the MICCAI 2014 Workshop on Medical Computer Vision, September 2014.
Question Classification by Weighted Combination of Lexical, Syntactic and Semantic Features.
Text, Speech and Dialogue, 2011.
You can also find me here: