ML-Decoder: Scalable and Versatile Classification Head.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
It's All in the Head: Representation Knowledge Distillation through Classifier Sharing.
CoRR, 2022
Multi-label Classification with Partial Annotations using Class-aware Selective Loss.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Semantic Diversity Learning for Zero-Shot Multi-label Classification.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Compact Network Training for Person ReID.
Proceedings of the 2020 on International Conference on Multimedia Retrieval, 2020
Cross-modality synthesis from CT to PET using FCN and GAN networks for improved automated lesion detection.
Eng. Appl. Artif. Intell., 2019
Attention Network Robustification for Person ReID.
CoRR, 2019
Hierarchical Fine-Tuning for joint Liver Lesion Segmentation and Lesion Classification in CT.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Improving CNN Training using Disentanglement for Liver Lesion Classification in CT.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Fully convolutional network and sparsity-based dictionary learning for liver lesion detection in CT examinations.
Neurocomputing, 2018
Improving the Segmentation of Anatomical Structures in Chest Radiographs Using U-Net with an ImageNet Pre-trained Encoder.
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018
Left Atria Reconstruction from a Series of Sparse Catheter Paths Using Neural Networks.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018
Anatomical data augmentation for CNN based pixel-wise classification.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2017
Fully Convolutional Network for Liver Segmentation and Lesions Detection.
Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016
Sparsity-based liver metastases detection using learned dictionaries.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Automatic detection and segmentation of liver metastatic lesions on serial CT examinations.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014