__Harshita Sharma__ | Harshita Sharma

Latest

Multimodal healthcare AI: identifying and designing clinically relevant vision-language applications for radiology
Enabling large-scale screening of Barrett’s esophagus using weakly supervised deep learning in histopathology
RAD-DINO: Exploring Scalable Medical Image Encoders Beyond Text Supervision
RadEdit: stress-testing biomedical vision models via diffusion image editing
Exploring the Boundaries of GPT-4 in Radiology
Learning to exploit temporal structure for biomedical vision-language processing
MS-CXR-T: Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing
A Machine Learning Method for Automated Description and Workflow Analysis of First Trimester Ultrasound Scans
Gaze-assisted automatic captioning of fetal ultrasound videos using three-way multi-modal deep neural networks
Weakly Supervised Captioning of Ultrasound Images
A picture is worth 1000 words: textual analysis of routine 20‐week scan
Clinical workflow of sonographers performing fetal anomaly ultrasound scans: deep learning-based analysis
Visualising Spatio-Temporal Gaze Characteristics for Exploratory Data Analysis in Clinical Fetal Ultrasound Scans
Towards Scale and Position Invariant Task Classification Using Normalised Visual Scanpaths in Clinical Fetal Ultrasound
Multimodal Continual Learning with Sonographer Eye-Tracking in Fetal Ultrasound
Transforming obstetric ultrasound into data science using eye tracking, voice recording, transducer motion and ultrasound video
Machine Learning-based Analysis of Operator Pupillary Response to Assess Cognitive Workload in Clinical Ultrasound Imaging
Multi-Modal Learning from Video, Eye Tracking, and Pupillometry for Operator Skill Characterization in Clinical Fetal Ultrasound
A Course-Focused Dual Curriculum For Image Captioning
Knowledge Representation and Learning of Operator Clinical Workflow from Full-length Routine Fetal Ultrasound Scan Videos
OC10.02: Task‐evoked pupillary response as an index of cognitive workload of sonologists undertaking fetal ultrasound
OC10.11: The data science of obstetric ultrasound: automatic analysis of full‐length anomaly scans using machine learning algorithms
A Curriculum Learning Based Approach to Captioning Ultrasound Images
Differentiating Operator Skill During Routine Fetal Ultrasound Scanning Using Probe Motion Tracking
Spatio-Temporal Visual Attention Modelling of Standard Biometry Plane-Finding Navigation
Discovering Salient Anatomical Landmarks by Predicting Human Gaze
Evaluation of Gaze Tracking Calibration for Longitudinal Biomedical Imaging Studies
Spatio-Temporal Partitioning And Description Of Full-Length Routine Fetal Anomaly Ultrasound Scans
Captioning Ultrasound Images Automatically
Towards Capturing Sonographic Experience: Cognition-Inspired Ultrasound Video Saliency Prediction
Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention
Monitoring Sonographer Performance: The Perception Ultrasound by Learning Sonographer Experience (PULSE) study
Efficient Ultrasound Image Analysis Models with Sonographer Gaze Assisted Distillation
Multi-task SonoEyeNet: Detection of Fetal Standardized Planes Assisted by Generated Sonographer Attention Maps
SonoEyeNet: Standardized fetal ultrasound plane detection informed by eye tracking
Deep convolutional neural networks for automatic classification of gastric carcinoma using whole slide images in digital histopathology
A Comparative Study of Cell Nuclei Attributed Relational Graphs for Knowledge Description and Categorization in Histopathological Gastric Cancer Whole Slide Images
Medical image analysis of gastric cancer in digital histopathology: methods, applications and challenges
Cell nuclei attributed relational graphs for efficient representation and classification of gastric cancer in digital histopathology
Deep Convolutional Neural Networks for Histological Image Analysis in Gastric Carcinoma Whole Slide Images
Appearance-based necrosis detection using textural features and SVM with discriminative thresholding in histopathological whole slide images
A review of graph-based methods for image analysis in digital histopathology
A Multi-resolution Approach for Combining Visual Information using Nuclei Segmentation and Classification in Histopathological Images
Histopathological Image Analysis for Determining Tissue Composition in Gastric Cancer
Determining similarity in histological images using graph-theoretic description and matching methods for content-based image retrieval in medical diagnostics
A Novel Technique Combining Euclidian Distance Measure and DHMM For Automatic Speaker Recognition
A Content-Based Medical Image Mining System for Knowledge Discovery in Medical Images
Enhancement of Medical Images Using a Novel Frobenius Norm Filtering Method