Appearance-based necrosis detection using textural features and SVM with discriminative thresholding in histopathological whole slide images. - Harshita Sharma; Norman Zerbe; Iris Klempert; Sebastian Lohmann; Björn Lindequist; Olaf Hellwich; Peter Hufnagl (BIBE, 2015)

A Multi-resolution Approach for Combining Visual Information using Nuclei Segmentation and Classification in Histopathological Images. - Harshita Sharma; Norman Zerbe; Daniel Heim; Stephan Wienert; Hans-Michael Behrens; Olaf Hellwich; Peter Hufnagl (VISAPP (3), 2015)

Cell nuclei attributed relational graphs for efficient representation and classification of gastric cancer in digital histopathology. - Harshita Sharma; Norman Zerbe; Daniel Heim; Stephan Wienert; Sebastian Lohmann; Olaf Hellwich; Peter Hufnagl (Digital Pathology, 2016)

A Comparative Study of Cell Nuclei Attributed Relational Graphs for Knowledge Description and Categorization in Histopathological Gastric Cancer Whole Slide Images. - Harshita Sharma; Norman Zerbe; Christine Boger; Stephan Wienert; Olaf Hellwich; Peter Hufnagl (CBMS, 2017)

Deep convolutional neural networks for automatic classification of gastric carcinoma using whole slide images in digital histopathology. - Harshita Sharma; Norman Zerbe; Iris Klempert; Olaf Hellwich; Peter Hufnagl (Comput. Medical Imaging Graph., 2017)

SonoEyeNet: Standardized fetal ultrasound plane detection informed by eye tracking. - Yifan Cai; Harshita Sharma; Pierre Chatelain; J. Alison Noble (ISBI, 2018)

Multi-task SonoEyeNet: Detection of Fetal Standardized Planes Assisted by Generated Sonographer Attention Maps. - Yifan Cai; Harshita Sharma; Pierre Chatelain; J. Alison Noble (MICCAI (1), 2018)

Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention. - Richard Droste; Yifan Cai; Harshita Sharma; Pierre Chatelain; Lior Drukker; Aris T. Papageorghiou; J. Alison Noble (IPMI, 2019)

Spatio-Temporal Partitioning And Description Of Full-Length Routine Fetal Anomaly Ultrasound Scans. - Harshita Sharma; Richard Droste; Pierre Chatelain; Lior Drukker; Aris T. Papageorghiou; J. Alison Noble (ISBI, 2019)

Captioning Ultrasound Images Automatically. - Mohammad Alsharid; Harshita Sharma; Lior Drukker; Pierre Chatelain; Aris T. Papageorghiou; J. Alison Noble (MICCAI (4), 2019)

Efficient Ultrasound Image Analysis Models with Sonographer Gaze Assisted Distillation. - Arijit Patra; Yifan Cai; Pierre Chatelain; Harshita Sharma; Lior Drukker; Aris T. Papageorghiou; J. Alison Noble (MICCAI (4), 2019)

Towards Capturing Sonographic Experience: Cognition-Inspired Ultrasound Video Saliency Prediction. - Richard Droste; Yifan Cai; Harshita Sharma; Pierre Chatelain; Aris T. Papageorghiou; J. Alison Noble (MIUA, 2019)

Discovering Salient Anatomical Landmarks by Predicting Human Gaze. - Richard Droste; Pierre Chatelain; Lior Drukker; Harshita Sharma; Aris T. Papageorghiou; Julia Alison Noble (ISBI, 2020)

A Curriculum Learning Based Approach to Captioning Ultrasound Images. - Mohammad Alsharid; Rasheed El-Bouri; Harshita Sharma; Lior Drukker; Aris T. Papageorghiou; J. Alison Noble (ASMUS/PIPPI@MICCAI, 2020)

Differentiating Operator Skill During Routine Fetal Ultrasound Scanning Using Probe Motion Tracking. - Yipei Wang; Richard Droste; Jianbo Jiao; Harshita Sharma; Lior Drukker; Aris T. Papageorghiou; J. Alison Noble (ASMUS/PIPPI@MICCAI, 2020)

Spatio-temporal visual attention modelling of standard biometry plane-finding navigation. - Yifan Cai; Richard Droste; Harshita Sharma; Pierre Chatelain; Lior Drukker; Aris T. Papageorghiou; J. Alison Noble (Medical Image Anal., 2020)

Evaluation of Gaze Tracking Calibration for Longitudinal Biomedical Imaging Studies. - Pierre Chatelain; Harshita Sharma; Lior Drukker; Aris T. Papageorghiou; J. Alison Noble (IEEE Trans. Cybern., 2020)

A Course-Focused Dual Curriculum For Image Captioning. - Mohammad Alsharid; Rasheed El-Bouri; Harshita Sharma; Lior Drukker; Aris T. Papageorghiou; J. Alison Noble (ISBI, 2021)

Multi-Modal Learning from Video, Eye Tracking, and Pupillometry for Operator Skill Characterization in Clinical Fetal Ultrasound. - Harshita Sharma; Lior Drukker; Aris T. Papageorghiou; J. Alison Noble (ISBI, 2021)

Multimodal Continual Learning with Sonographer Eye-Tracking in Fetal Ultrasound. - Arijit Patra; Yifan Cai; Pierre Chatelain; Harshita Sharma; Lior Drukker; Aris T. Papageorghiou; J. Alison Noble (ASMUS@MICCAI, 2021)

Towards Scale and Position Invariant Task Classification Using Normalised Visual Scanpaths in Clinical Fetal Ultrasound. - Clare Teng; Harshita Sharma; Lior Drukker; Aris T. Papageorghiou; J. Alison Noble (ASMUS@MICCAI, 2021)

Machine learning-based analysis of operator pupillary response to assess cognitive workload in clinical ultrasound imaging. - Harshita Sharma; Lior Drukker; Aris T. Papageorghiou; J. Alison Noble (Comput. Biol. Medicine, 2021)

Knowledge representation and learning of operator clinical workflow from full-length routine fetal ultrasound scan videos. - Harshita Sharma; Lior Drukker; Pierre Chatelain; Richard Droste; Aris T. Papageorghiou; J. Alison Noble (Medical Image Anal., 2021)

Visualising Spatio-Temporal Gaze Characteristics for Exploratory Data Analysis in Clinical Fetal Ultrasound Scans. - Clare Teng; Harshita Sharma; Lior Drukker; Aris T. Papageorghiou; J. Alison Noble (ETRA, 2022)

HAWP: a Dataset for Hindi Arithmetic Word Problem Solving. - Harshita Sharma; Pruthwik Mishra; Dipti Misra Sharma (LREC, 2022)

Weakly Supervised Captioning of Ultrasound Images. - Mohammad Alsharid; Harshita Sharma; Lior Drukker; Aris T. Papageorghiou; J. Alison Noble (MIUA, 2022)

Gaze-assisted automatic captioning of fetal ultrasound videos using three-way multi-modal deep neural networks. - Mohammad Alsharid; Yifan Cai; Harshita Sharma; Lior Drukker; Aris T. Papageorghiou; J. Alison Noble (Medical Image Anal., 2022)

Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing. - Shruthi Bannur; Stephanie L. Hyland; Qianchu Liu; Fernando Pérez-García; Maximilian Ilse; Daniel C. Castro; Benedikt Boecking; Harshita Sharma; Kenza Bouzid; Anja Thieme; Anton Schwaighofer; Maria Wetscherek; et al. (CVPR, 2023)

Exploring the Boundaries of GPT-4 in Radiology. - Qianchu Liu; Stephanie L. Hyland; Shruthi Bannur; Kenza Bouzid; Daniel C. Castro; Maria Wetscherek; Robert Tinn; Harshita Sharma; Fernando Pérez-García; Anton Schwaighofer; Pranav Rajpurkar; Sameer Tajdin Khanna; et al. (EMNLP, 2023)

Verb Categorisation for Hindi Word Problem Solving. - Harshita Sharma; Pruthwik Mishra; Dipti Misra Sharma (CoRR, 2023)

A Machine Learning Method for Automated Description and Workflow Analysis of First Trimester Ultrasound Scans. - Robail Yasrab; Zeyu Fu; He Zhao 002; Lok Hin Lee; Harshita Sharma; Lior Drukker; Aris T. Papageorghiou; J. Alison Noble (IEEE Trans. Medical Imaging, 2023)

MAIRA at RRG24: A specialised large multimodal model for radiology report generation. - Shaury Srivastav; Mercy Ranjit; Fernando Pérez-García; Kenza Bouzid; Shruthi Bannur; Daniel C. Castro; Anton Schwaighofer; Harshita Sharma; Maximilian Ilse; Valentina Salvatelli; Sam Bond-Taylor; Fabian Falck; et al. (BioNLP@ACL, 2024)

Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology. - Nur Yildirim; Hannah Richardson; Maria Teodora Wetscherek; Junaid Bajwa; Joseph Jacob; Mark Ames Pinnock; Stephen Harris; Daniel Coelho de Castro; Shruthi Bannur; Stephanie L. Hyland; Pratik Ghosh; Mercy Ranjit; et al. (CHI, 2024)

RadEdit: Stress-Testing Biomedical Vision Models via Diffusion Image Editing. - Fernando Pérez-García; Sam Bond-Taylor; Pedro P. Sanchez; Boris van Breugel; Daniel C. Castro; Harshita Sharma; Valentina Salvatelli; Maria T. A. Wetscherek; Hannah Richardson; Matthew P. Lungren; Aditya V. Nori; Javier Alvarez-Valle; et al. (ECCV (12), 2024)

MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models. - Harshita Sharma; Valentina Salvatelli; Shaury Srivastav; Kenza Bouzid; Shruthi Bannur; Daniel C. Castro; Maximilian Ilse; Sam Bond-Taylor; Mercy Prasanna Ranjit; Fabian Falck; Fernando Pérez-García; Anton Schwaighofer; et al. (ML4H@NeurIPS, 2024)

RAD-DINO: Exploring Scalable Medical Image Encoders Beyond Text Supervision. - Fernando Pérez-García; Harshita Sharma; Sam Bond-Taylor; Kenza Bouzid; Valentina Salvatelli; Maximilian Ilse; Shruthi Bannur; Daniel C. Castro; Anton Schwaighofer; Matthew P. Lungren; Maria Wetscherek; Noel Codella; et al. (CoRR, 2024)

Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology. - Anja Thieme; Abhijith Rajamohan; Benjamin Cooper; Heather Groombridge; Robert Simister; Barney Wong; Nicholas Woznitza; Mark Ames Pinnock; Maria Teodora Wetscherek; Cecily Morrison; Hannah Richardson; Fernando Pérez-García; et al. (CoRR, 2024)

MAIRA-2: Grounded Radiology Report Generation. - Shruthi Bannur; Kenza Bouzid; Daniel C. Castro; Anton Schwaighofer; Sam Bond-Taylor; Maximilian Ilse; Fernando Pérez-García; Valentina Salvatelli; Harshita Sharma; Felix Meissen; Mercy Ranjit; Shaury Srivastav; et al. (CoRR, 2024)

Exploring scalable medical image encoders beyond text supervision. - Fernando Pérez-García; Harshita Sharma; Sam Bond-Taylor; Kenza Bouzid; Valentina Salvatelli; Maximilian Ilse; Shruthi Bannur; Daniel C. Castro; Anton Schwaighofer; Matthew P. Lungren; Maria Teodora Wetscherek; Noel Codella; et al. (Nat. Mac. Intell., 2025)

Lunguage: A Benchmark for Structured and Sequential Chest X-ray Interpretation. - Jong Hak Moon; Geon Choi; Paloma Rabaey; Min Gwan Kim; Hyuk Gi Hong; Jung-Oh Lee; Hangyul Yoon; Eun Woo Doe; Jiyoun Kim; Harshita Sharma; Daniel C. Castro; Javier Alvarez-Valle; et al. (CoRR, 2025)

MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks. - Suhana Bedi; Hejie Cui; Miguel Fuentes; Alyssa Unell; Michael Wornow; Juan M. Banda; Nikesh Kotecha; Timothy Keyes; Yifan Mai 001; Mert Oez; Hao Qiu; Shrey Jain; et al. (CoRR, 2025)

Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology. - Anja Thieme; Abhijith Rajamohan; Benjamin Cooper; Heather Groombridge; Robert Simister; Barney Wong; Nicholas Woznitza; Mark A. Pinnock; Maria T. A. Wetscherek; Cecily Morrison; Hannah Richardson; Fernando Pérez-García; et al. (ACM Trans. Comput. Hum. Interact., 2025)