Harshita Sharma
Orcid: 0000-0003-4683-2606
According to our database1,
Harshita Sharma
authored at least 34 papers
between 2015 and 2024.
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Bibliography
2024
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology.
CoRR, 2024
CoRR, 2024
2023
A Machine Learning Method for Automated Description and Workflow Analysis of First Trimester Ultrasound Scans.
IEEE Trans. Medical Imaging, May, 2023
CoRR, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Gaze-assisted automatic captioning of fetal ultrasound videos using three-way multi-modal deep neural networks.
Medical Image Anal., 2022
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
Visualising Spatio-Temporal Gaze Characteristics for Exploratory Data Analysis in Clinical Fetal Ultrasound Scans.
Proceedings of the ETRA 2022: Symposium on Eye Tracking Research and Applications, Seattle, WA, USA, June 8, 2022
2021
Knowledge representation and learning of operator clinical workflow from full-length routine fetal ultrasound scan videos.
Medical Image Anal., 2021
Machine learning-based analysis of operator pupillary response to assess cognitive workload in clinical ultrasound imaging.
Comput. Biol. Medicine, 2021
Towards Scale and Position Invariant Task Classification Using Normalised Visual Scanpaths in Clinical Fetal Ultrasound.
Proceedings of the Simplifying Medical Ultrasound - Second International Workshop, 2021
Proceedings of the Simplifying Medical Ultrasound - Second International Workshop, 2021
Multi-Modal Learning from Video, Eye Tracking, and Pupillometry for Operator Skill Characterization in Clinical Fetal Ultrasound.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
IEEE Trans. Cybern., 2020
Spatio-temporal visual attention modelling of standard biometry plane-finding navigation.
Medical Image Anal., 2020
Differentiating Operator Skill During Routine Fetal Ultrasound Scanning Using Probe Motion Tracking.
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Towards Capturing Sonographic Experience: Cognition-Inspired Ultrasound Video Saliency Prediction.
Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019
Efficient Ultrasound Image Analysis Models with Sonographer Gaze Assisted Distillation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Spatio-Temporal Partitioning And Description Of Full-Length Routine Fetal Anomaly Ultrasound Scans.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the Information Processing in Medical Imaging, 2019
2018
Multi-task SonoEyeNet: Detection of Fetal Standardized Planes Assisted by Generated Sonographer Attention Maps.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Deep convolutional neural networks for automatic classification of gastric carcinoma using whole slide images in digital histopathology.
Comput. Medical Imaging Graph., 2017
A Comparative Study of Cell Nuclei Attributed Relational Graphs for Knowledge Description and Categorization in Histopathological Gastric Cancer Whole Slide Images.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017
2016
Cell nuclei attributed relational graphs for efficient representation and classification of gastric cancer in digital histopathology.
Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016
2015
A Multi-resolution Approach for Combining Visual Information using Nuclei Segmentation and Classification in Histopathological Images.
Proceedings of the VISAPP 2015, 2015
Appearance-based necrosis detection using textural features and SVM with discriminative thresholding in histopathological whole slide images.
Proceedings of the 15th IEEE International Conference on Bioinformatics and Bioengineering, 2015