| External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation With Limited Data | 0 | 0.34 | 2022 |
| In Defense of Image Pre-Training for Spatiotemporal Recognition. | 0 | 0.34 | 2022 |
| Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning | 0 | 0.34 | 2022 |
| A Simple Data Mixing Prior for Improving Self-Supervised Learning | 0 | 0.34 | 2022 |
| Cakes: Channel-Wise Automatic Kernel Shrinking For Efficient 3d Networks | 0 | 0.34 | 2021 |
| Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction | 0 | 0.34 | 2021 |
| Adversarial Metric Attack and Defense for Person Re-identification. | 2 | 0.54 | 2021 |
| Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans. | 3 | 0.37 | 2020 |
| Deep Distance Transform For Tubular Structure Segmentation In Ct Scans | 1 | 0.35 | 2020 |
| Neural Architecture Search for Lightweight Non-Local Networks | 1 | 0.36 | 2020 |
| Universal Physical Camouflage Attacks on Object Detectors | 2 | 0.41 | 2020 |
| Performance of a Deep Learning Algorithm for Automated Segmentation and Quantification of Traumatic Pelvic Hematomas on CT. | 0 | 0.34 | 2020 |
| Learning Transferable Adversarial Examples Via Ghost Networks | 2 | 0.36 | 2020 |
| Lesion Detection by Efficiently Bridging 3D Context. | 0 | 0.34 | 2019 |
| Adversarial Metric Attack for Person Re-identification. | 0 | 0.34 | 2019 |
| Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via Deep Multi-Planar Co-Training | 9 | 0.50 | 2019 |
| Multi-Scale Attentional Network for Multi-Focal Segmentation of Active Bleed after Pelvic Fractures. | 0 | 0.34 | 2019 |
| FusionNet - Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans. | 0 | 0.34 | 2019 |
| Hyper-Pairing Network for Multi-phase Pancreatic Ductal Adenocarcinoma Segmentation | 2 | 0.36 | 2019 |
| Improving Transferability Of Adversarial Examples With Input Diversity | 23 | 0.71 | 2019 |
| Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound. | 2 | 0.36 | 2018 |
| Semi-supervised multi-organ segmentation via multi-planar co-training. | 3 | 0.39 | 2018 |
| Abdominal multi-organ segmentation with organ-attention networks and statistical fusion. | 12 | 0.58 | 2018 |
| Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans. | 12 | 0.72 | 2017 |
| Saliency Transformation Network: Incorporating Multi-stage Visual Cues for Pancreas Segmentation. | 3 | 0.43 | 2017 |
| A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans. | 20 | 0.77 | 2017 |
