Publications

Nur Yildirim, Hannah Richardson, Maria Teodora Wetscherek, Junaid Bajwa, Joseph Jacob, Mark Ames Pinnock, Stephen Harris, Daniel Coelho De Castro, Shruthi Bannur, Stephanie Hyland, Pratik Ghosh, Mercy Ranjit, Kenza Bouzid, Anton Schwaighofer, Fernando Pérez-García, Harshita Sharma, Ozan Oktay, Matthew Lungren, Javier Alvarez-Valle, Aditya Nori, Anja Thieme (2024). Multimodal healthcare AI: identifying and designing clinically relevant vision-language applications for radiology. Proceedings of the CHI Conference on Human Factors in Computing Systems.

DOI Arxiv BibTeX

Kenza Bouzid*, Harshita Sharma*, Sarah Killcoyne, Daniel C Castro, Anton Schwaighofer, Max Ilse, Valentina Salvatelli, Ozan Oktay, Sumanth Murthy, Lucas Bordeaux, Luiza Moore, Maria O’Donovan, Anja Thieme, Aditya Nori, Marcel Gehrung, Javier Alvarez-Valle (2024). Enabling large-scale screening of Barrett’s esophagus using weakly supervised deep learning in histopathology. (KB and HS contributed equally.)Nature Communications.

DOI Nature MedArxiv BibTeX

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, Stephanie L Hyland, Javier Alvarez-Valle, Ozan Oktay (2024). RAD-DINO: Exploring Scalable Medical Image Encoders Beyond Text Supervision.

Fernando Pérez-García, Sam Bond-Taylor, Pedro P Sanchez, Boris van Breugel, Daniel C Castro, Harshita Sharma, Valentina Salvatelli, Maria TA Wetscherek, Hannah Richardson, Matthew P Lungren, Aditya Nori, Javier Alvarez-Valle, Ozan Oktay, Maximilian Ilse (2023). RadEdit: stress-testing biomedical vision models via diffusion image editing.

Qianchu Liu, Stephanie Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C Castro, Maria Teodora Wetscherek, Robert Tinn, Harshita Sharma, Fernando Pérez-García, Anton Schwaighofer, Pranav Rajpurkar, Sameer Tajdin Khanna, Hoifung Poon, Naoto Usuyama, Anja Thieme, Aditya V Nori, Matthew P Lungren, Ozan Oktay, Javier Alvarez-Valle (2023). Exploring the Boundaries of GPT-4 in Radiology. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.

DOI arXiv BibTeX

Shruthi Bannur, Stephanie Hyland, Qianchu Liu, Fernando Perez-Garcia, Maximilian Ilse, Daniel C Castro, Benedikt Boecking, Harshita Sharma, Kenza Bouzid, Anja Thieme, Anton Schwaighofer, Maria Wetscherek, Matthew P Lungren, Aditya Nori, Javier Alvarez-Valle, Ozan Oktay (2023). Learning to exploit temporal structure for biomedical vision-language processing. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Shruthi Bannur, Stephanie Hyland, Qianchu Liu, Fernando Pérez-García, Max Ilse, Daniel Coelho de Castro, Benedikt Boecking, Harshita Sharma, Kenza Bouzid, Anton Schwaighofer, Maria Teodora Wetscherek, Hannah Richardson, Tristan Naumann, Javier Alvarez Valle, Ozan Oktay (2023). MS-CXR-T: Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing. PhysioNet.

Robail Yasrab, Zeyu Fu, He Zhao, Lok Hin Lee, Harshita Sharma, Lior Drukker, Aris T Papageorgiou, J. Alison Noble (2022). A Machine Learning Method for Automated Description and Workflow Analysis of First Trimester Ultrasound Scans. IEEE Transactions on Medical Imaging.

DOI IEEE BibTeX

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

DOI Elsevier BibTeX

Mohammad Alsharid, Harshita Sharma, Lior Drukker, Aris T. Papageorgiou, J. Alison Noble (2022). Weakly Supervised Captioning of Ultrasound Images. Annual Conference on Medical Image Understanding and Analysis (MIUA) 2022.

DOI Springer BibTeX

Mohammad Alsharid, Lior Drukker, Harshita Sharma, J. Alison Noble, Aris T. Papageorghiou (2022). A picture is worth 1000 words: textual analysis of routine 20‐week scan. Ultrasound in Obstetrics & Gynecology.

DOI Wiley BibTeX

Lior Drukker*, Harshita Sharma*, J. N. Karim, Richard Droste, J. Alison Noble, Aris T. Papageorghiou (2022). Clinical workflow of sonographers performing fetal anomaly ultrasound scans: deep learning-based analysis. (LD and HS contributed equally.)Ultrasound in Obstetrics & Gynecology.

DOI Wiley BibTeX

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

Clare Teng, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble (2021). Towards Scale and Position Invariant Task Classification Using Normalised Visual Scanpaths in Clinical Fetal Ultrasound. International Workshop on Advances in Simplifying Medical Ultrasound - ASMUS 2021, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021.

DOI Springer BibTeX

Arijit Patra, Yifan Cai, Pierre Chatelain, Harshita Sharma, Lior Drukker, Aris T Papageorghiou, J Alison Noble (2021). Multimodal Continual Learning with Sonographer Eye-Tracking in Fetal Ultrasound. International Workshop on Advances in Simplifying Medical Ultrasound - ASMUS 2021, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021.

DOI Springer BibTeX

Lior Drukker*, Harshita Sharma*, Richard Droste, Pierre Chatelain, J. Alison Noble, Aris T. Papageorghiou (2021). Transforming obstetric ultrasound into data science using eye tracking, voice recording, transducer motion and ultrasound video. (LD and HS contributed equally.)Scientific Reports (Nature).

DOI Springer BibTeX

Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble (2021). Machine Learning-based Analysis of Operator Pupillary Response to Assess Cognitive Workload in Clinical Ultrasound Imaging. Computers in Biology and Medicine.

DOI Elsevier BibTeX

Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble (2021). Multi-Modal Learning from Video, Eye Tracking, and Pupillometry for Operator Skill Characterization in Clinical Fetal Ultrasound. IEEE 18th International Symposium on Biomedical Imaging (ISBI) 2021.

DOI IEEE BibTeX

Mohammad Alsharid*, Rasheed El-Bouri*, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble (2021). A Course-Focused Dual Curriculum For Image Captioning. (MA and RE contributed equally). IEEE 18th International Symposium on Biomedical Imaging (ISBI) 2021.

DOI IEEE BibTeX

Harshita Sharma, Lior Drukker, Pierre Chatelain, Richard Droste, Aris T. Papageorghiou, J. Alison Noble (2021). Knowledge Representation and Learning of Operator Clinical Workflow from Full-length Routine Fetal Ultrasound Scan Videos. Medical Image Analysis (Elsevier).

DOI Elsevier BibTeX

Harshita Sharma, Lior Drukker, Richard Droste, Pierre Chatelain, Aris T. Papageorghiou, J. Alison Noble (2020). OC10.02: Task‐evoked pupillary response as an index of cognitive workload of sonologists undertaking fetal ultrasound. Ultrasound Obstet Gynecol, 56: 28-28.

DOI Wiley BibTeX

Lior Drukker*, Harshita Sharma*, Richard Droste, J. Alison Noble, Aris T. Papageorghiou (2020). OC10.11: The data science of obstetric ultrasound: automatic analysis of full‐length anomaly scans using machine learning algorithms. (LD and HS contributed equally.) Ultrasound Obstet Gynecol, 56: 31-31.

DOI Wiley BibTeX

Yipei Wang, Richard Droste, Jianbo Jiao, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble (2020). Differentiating Operator Skill During Routine Fetal Ultrasound Scanning Using Probe Motion Tracking. Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis. ASMUS 2020, PIPPI 2020. Workshop at the Medical Image Computing and Computer Assisted Intervention (MICCAI 2020).

DOI Springer BibTeX

Mohammad Alsharid*, Rasheed El-Bouri*, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble (2020). A Curriculum Learning Based Approach to Captioning Ultrasound Images. (MA and RE contributed equally.) Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis. ASMUS 2020, PIPPI 2020. Workshop at the Medical Image Computing and Computer Assisted Intervention (MICCAI 2020). Best Presentation Award.

DOI Springer BibTeX

Yifan Cai, Richard Droste, Harshita Sharma, Pierre Chatelain, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble (2020). Spatio-Temporal Visual Attention Modelling of Standard Biometry Plane-Finding Navigation. Medical Image Analysis (Elsevier).

DOI Elsevier BibTeX

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

DOI ORA IEEE BibTeX

Richard Droste, Pierre Chatelain, Lior Drukker, Harshita Sharma, Aris T. Papageorghiou, J. Alison Noble (2020). Discovering Salient Anatomical Landmarks by Predicting Human Gaze. 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), Iowa City, IA, USA, 2020, pp. 1711-1714. Best Paper Awards Runner Up.

PDF DOI arXiv ORA IEEE BibTeX

Harshita Sharma, Richard Droste, Pierre Chatelain, Lior Drukker, Aris T. Papageorghiou, J.Alison Noble (2019). Spatio-Temporal Partitioning And Description Of Full-Length Routine Fetal Anomaly Ultrasound Scans. IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

DOI ORA IEEE BibTeX

Mohammad Alsharid, Harshita Sharma, Lior Drukker, Pierre Chatelain, Aris T. Papageorghiou, J. Alison Noble (2019). Captioning Ultrasound Images Automatically. Medical Image Computing and Computer Assisted Intervention – MICCAI 2019.

DOI ORA Springer BibTeX

Richard Droste, Yifan Cai, Harshita Sharma, Pierre Chatelain, Aris T. Papageorghiou, J. Alison Noble (2019). Towards Capturing Sonographic Experience: Cognition-Inspired Ultrasound Video Saliency Prediction. Medical Image Understanding and Analysis (MIUA 2019). Best Paper Award.

PDF DOI ORA Springer BibTex

Richard Droste, Yifan Cai, Harshita Sharma, Pierre Chatelain, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble (2019). Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention. In Information Processing in Medical Imaging (IPMI 2019).

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Lior Drukker, Richard Droste, Pierre Chatelain, Harshita Sharma, Yifan Cai, Jaan Toots, Mohammad Alsharid, Aris T. Papageorghiou, J. Alison Noble (2019). Monitoring Sonographer Performance: The Perception Ultrasound by Learning Sonographer Experience (PULSE) study. In: Special Issue: Official Proceedings of the 2019 AIUM Convention, Journal of Ultrasound in Medicine, 38, S1–S214, 2019.

Arijit Patra*, Yifan Cai*, Pierre Chatelain, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble (2019). Efficient Ultrasound Image Analysis Models with Sonographer Gaze Assisted Distillation. (AP and YC contributed equally.)Medical Image Computing and Computer Assisted Intervention – MICCAI 2019.

DOI Springer BibTeX

Yifan Cai, Harshita Sharma, Pierre Chatelain, J. Alison Noble (2018). SonoEyeNet: Standardized fetal ultrasound plane detection informed by eye tracking. 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

DOI ORA IEEE BibTeX

Yifan Cai, Harshita Sharma, Pierre Chatelain, J. Alison Noble (2018). Multi-task SonoEyeNet: Detection of Fetal Standardized Planes Assisted by Generated Sonographer Attention Maps. Medical Image Computing and Computer Assisted Intervention – MICCAI 2018.

DOI ORA Springer BibTeX

Harshita Sharma, Norman Zerbe, Iris Klempert, Olaf Hellwich, Peter Hufnagl (2017). Deep convolutional neural networks for automatic classification of gastric carcinoma using whole slide images in digital histopathology. Computerized Medical Imaging and Graphics (Elsevier CMIG).

Harshita Sharma, Norman Zerbe, Christine Böger, Stephan Wienert, Olaf Hellwich, Peter Hufnagl (2017). A Comparative Study of Cell Nuclei Attributed Relational Graphs for Knowledge Description and Categorization in Histopathological Gastric Cancer Whole Slide Images. IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS) 2017.

PDF DOI IEEE BibTeX

Harshita Sharma (2017). Medical image analysis of gastric cancer in digital histopathology: methods, applications and challenges. PhD Thesis.

Harshita Sharma, Norman Zerbe, Iris Klempert, Olaf Hellwich, Peter Hufnagl (2016). Deep Convolutional Neural Networks for Histological Image Analysis in Gastric Carcinoma Whole Slide Images. Diagnostic Pathology, ECDP Conference Proceedings 2016.

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Harshita Sharma, Norman Zerbe, Daniel Heim, Stephan Wienert, Sebastian Lohmann, Olaf Hellwich, Peter Hufnagl (2016). Cell nuclei attributed relational graphs for efficient representation and classification of gastric cancer in digital histopathology. SPIE Medical Imaging 2016. Best Student Paper Award Finalist and Best Poster Award.

DOI Link BibTeX

Harshita Sharma, Norman Zerbe, Iris Klempert, Sebastian Lohmann, Bjorn Lindequist, Olaf Hellwich, Peter Hufnagl (2015). Appearance-based necrosis detection using textural features and SVM with discriminative thresholding in histopathological whole slide images. IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE) 2015.

DOI IEEE BibTeX

Harshita Sharma, Norman Zerbe, Sebastian Lohmann, Klaus Kayser, Olaf Hellwich, Peter Hufnagl (2015). A review of graph-based methods for image analysis in digital histopathology. Diagnostic Pathology.

DOI Link BibTeX

Harshita Sharma, Norman Zerbe, Daniel Heim, Stephan Wienert, Hans-Michael Behrens, Olaf Hellwich, Peter Hufnagl (2015). A Multi-resolution Approach for Combining Visual Information using Nuclei Segmentation and Classification in Histopathological Images. Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP) 2015.

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Harshita Sharma, Norman Zerbe, Daniel Heim, Stephan Wienert, Hans-Michael Behrens, Olaf Hellwich, Peter Hufnagl (2014). Histopathological Image Analysis for Determining Tissue Composition in Gastric Cancer. Digital Pathology Congress 2014.

Harshita Sharma, Alexander Alekseychuk, Peter Leskovsky, Olaf Hellwich, RS Anand, Norman Zerbe, Peter Hufnagl (2012). Determining similarity in histological images using graph-theoretic description and matching methods for content-based image retrieval in medical diagnostics. Diagnostic Pathology.

DOI Link BibTeX

Akash Tayal, Harshita Sharma, Twinkle Bansal (2010). A Novel Technique Combining Euclidian Distance Measure and DHMM For Automatic Speaker Recognition. IEEE INDIACom 2010.

Akash Tayal, Harshita Sharma, Twinkle Bansal (2010). A Content-Based Medical Image Mining System for Knowledge Discovery in Medical Images. National Conference on Information Management in Knowledge Economy 2010.

Akash Tayal, Harshita Sharma, Twinkle Bansal (2010). Enhancement of Medical Images Using a Novel Frobenius Norm Filtering Method. The 4th International Conference on Computer Applications in Electrical Engineering Recent Advances (CERA 2009).