Harshita Sharma

52 papers A* 3B 3C 1Journal 25Unranked 20
YearRankTypeTitle / Venue / Authors
2025 J jnl
Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology.
ACM Trans. Comput. Hum. Interact.
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, Stephanie L. Hyland, Shruthi Bannur, Daniel Coelho de Castro, Kenza Bouzid, Anton Schwaighofer, Mercy Prasanna Ranjit, Harshita Sharma, Matthew P. Lungren, Ozan Oktay, Javier Alvarez-Valle, Aditya V. Nori, Steve K. Harris, Joseph Jacob
2025 J jnl
Closing the Performance Gap Between AI and Radiologists in Chest X-Ray Reporting.
CoRR
Harshita Sharma, Maxwell Reynolds, Valentina Salvatelli, Anne-Marie G. Sykes, Kelly K. Horst, Anton Schwaighofer, Maximilian Ilse, Olesya Melnichenko, Sam Bond-Taylor, Fernando Pérez-García, Vamshi K. Mugu, Alex Chan, Ceylan Colak, Shelby A. Swartz, Motassem B. Nashawaty, Austin J. Gonzalez, Heather A. Ouellette, Selnur B. Erdal, Beth A. Schueler, Maria Teodora Wetscherek, Noel Codella, Mohit Jain, Shruthi Bannur, Kenza Bouzid, Daniel C. Castro, Stephanie L. Hyland, Panos Korfiatis, Ashish Khandelwal, Javier Alvarez-Valle
2025 J jnl
Comprehensive language-image pre-training for 3D medical image understanding.
CoRR
Tassilo Wald, Ibrahim Ethem Hamamci, Yuan Gao, Sam Bond-Taylor, Harshita Sharma, Maximilian Ilse, Cynthia Lo, Olesya Melnichenko, Noel C. F. Codella, Maria Teodora Wetscherek, Klaus H. Maier-Hein, Korfiatis Panagiotis, Valentina Salvatelli, Javier Alvarez-Valle, Fernando Pérez-García
2025 J jnl
Data Scaling Laws for Radiology Foundation Models.
CoRR
Maximilian Ilse, Harshita Sharma, Anton Schwaighofer, Sam Bond-Taylor, Fernando Pérez-García, Olesya Melnichenko, Anne-Marie G. Sykes, Kelly K. Horst, Ashish Khandelwal, Maxwell Reynolds, Maria T. A. Wetscherek, Noel C. F. Codella, Javier Alvarez-Valle, Korfiatis Panagiotis, Valentina Salvatelli
2025 J jnl
Exploring scalable medical image encoders beyond text supervision.
Nat. Mac. Intell.
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, Stephanie L. Hyland, Javier Alvarez-Valle, Ozan Oktay
2025 J jnl
Lunguage: A Benchmark for Structured and Sequential Chest X-ray Interpretation.
CoRR
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, Edward Choi
2025 J jnl
MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks.
CoRR
Suhana Bedi, Hejie Cui, Miguel Fuentes, Alyssa Unell, Michael Wornow, Juan M. Banda, Nikesh Kotecha, Timothy Keyes, Yifan Mai, Mert Oez, Hao Qiu, Shrey Jain, Leonardo Schettini, Mehr Kashyap, Jason Alan Fries, Akshay Swaminathan, Philip Chung, Fateme Nateghi, Asad Aali, Ashwin Nayak, Shivam Vedak, Sneha S. Jain, Birju S. Patel, Oluseyi Fayanju, Shreya J. Shah, Ethan Goh, Dong-han Yao, Brian Soetikno, Eduardo Pontes Reis, Sergios Gatidis, Vasu Divi, Robson Capasso, Rachna Saralkar, Chia-Chun Chiang, Jenelle A. Jindal, Tho Pham, Faraz Ghoddusi, Steven Lin, Albert S. Chiou, Christy Hong, Mohana Roy, Michael F. Gensheimer, Hinesh Patel, Kevin Schulman, Dev Dash, Danton Char, Lance Downing, François Grolleau, Kameron C. Black, Bethel Mieso, Aydin Zahedivash, Wen-Wai Yim, Harshita Sharma, Tony Lee, Hannah Kirsch, Jennifer Lee, Nerissa Ambers, Carlene Lugtu, Aditya Sharma, Bilal Mawji, Alex Alekseyev, Vicky Zhou, Vikas Kakkar, Jarrod Helzer, Anurang Revri, Yair Bannett, Roxana Daneshjou, Jonathan H. Chen, Emily Alsentzer, Keith E. Morse, Nirmal Ravi, Nima Aghaeepour, Vanessa Kennedy, Akshay Chaudhari, Thomas Wang, Sanmi Koyejo, Matthew P. Lungren, Eric Horvitz, Percy Liang, Mike Pfeffer, Nigam H. Shah
2024 J jnl
Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology.
CoRR
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, Stephanie L. Hyland, Shruthi Bannur, Daniel C. Castro, Kenza Bouzid, Anton Schwaighofer, Mercy Ranjit, Harshita Sharma, Matthew P. Lungren, Ozan Oktay, Javier Alvarez-Valle, Aditya V. Nori, Stephen Harris, Joseph Jacob
2024 — conf
MAIRA at RRG24: A specialised large multimodal model for radiology report generation.
BioNLP@ACL
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, Anja Thieme, Hannah Richardson, Matthew P. Lungren, Stephanie L. Hyland, Javier Alvarez-Valle
2024 J jnl
MAIRA-2: Grounded Radiology Report Generation.
CoRR
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, Julia Gong, Fabian Falck, Ozan Oktay, Anja Thieme, Matthew P. Lungren, Maria Teodora Wetscherek, Javier Alvarez-Valle, Stephanie L. Hyland
2024 — conf
MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models.
ML4H@NeurIPS
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, Hannah Richardson, Maria Wetscherek, Stephanie L. Hyland, Javier Alvarez-Valle
2024 J jnl
MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models.
CoRR
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, Hannah Richardson, Maria Teodora Wetscherek, Stephanie L. Hyland, Javier Alvarez-Valle
2024 A* conf
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology.
CHI
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, Kenza Bouzid, Anton Schwaighofer, Fernando Pérez-García, Harshita Sharma, Ozan Oktay, Matthew P. Lungren, Javier Alvarez-Valle, Aditya V. Nori, Anja Thieme
2024 J jnl
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology.
CoRR
Nur Yildirim, Hannah Richardson, Maria T. A. Wetscherek, Junaid Bajwa, Joseph Jacob, Mark A. Pinnock, Stephen Harris, Daniel Coelho de Castro, Shruthi Bannur, Stephanie L. Hyland, Pratik Ghosh, Mercy Ranjit, Kenza Bouzid, Anton Schwaighofer, Fernando Pérez-García, Harshita Sharma, Ozan Oktay, Matthew P. Lungren, Javier Alvarez-Valle, Aditya V. Nori, Anja Thieme
2024 J jnl
RAD-DINO: Exploring Scalable Medical Image Encoders Beyond Text Supervision.
CoRR
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 — conf
RadEdit: Stress-Testing Biomedical Vision Models via Diffusion Image Editing.
ECCV (12)
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, Ozan Oktay, Maximilian Ilse
2023 J jnl
A Machine Learning Method for Automated Description and Workflow Analysis of First Trimester Ultrasound Scans.
IEEE Trans. Medical Imaging
Robail Yasrab, Zeyu Fu, He Zhao, Lok Hin Lee, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble
2023 A* conf
Exploring the Boundaries of GPT-4 in Radiology.
EMNLP
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, Hoifung Poon, Naoto Usuyama, Anja Thieme, Aditya V. Nori, Matthew P. Lungren, Ozan Oktay, Javier Alvarez-Valle
2023 J jnl
Exploring the Boundaries of GPT-4 in Radiology.
CoRR
Qianchu Liu, Stephanie L. 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 A* conf
Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing.
CVPR
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, Matthew P. Lungren, Aditya V. Nori, Javier Alvarez-Valle, Ozan Oktay
2023 J jnl
Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing.
CoRR
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, Matthew P. Lungren, Aditya V. Nori, Javier Alvarez-Valle, Ozan Oktay
2023 J jnl
RadEdit: stress-testing biomedical vision models via diffusion image editing.
CoRR
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, Ozan Oktay, Maximilian Ilse
2023 J jnl
Verb Categorisation for Hindi Word Problem Solving.
CoRR
Harshita Sharma, Pruthwik Mishra, Dipti Misra Sharma
2022 J jnl
Gaze-assisted automatic captioning of fetal ultrasound videos using three-way multi-modal deep neural networks.
Medical Image Anal.
Mohammad Alsharid, Yifan Cai, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble
2022 B conf
HAWP: a Dataset for Hindi Arithmetic Word Problem Solving.
LREC
Harshita Sharma, Pruthwik Mishra, Dipti Misra Sharma
2022 B conf
Visualising Spatio-Temporal Gaze Characteristics for Exploratory Data Analysis in Clinical Fetal Ultrasound Scans.
ETRA
Clare Teng, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble
2022 — conf
Weakly Supervised Captioning of Ultrasound Images.
MIUA
Mohammad Alsharid, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble
2021 — conf
A Course-Focused Dual Curriculum For Image Captioning.
ISBI
Mohammad Alsharid, Rasheed El-Bouri, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble
2021 J jnl
Knowledge representation and learning of operator clinical workflow from full-length routine fetal ultrasound scan videos.
Medical Image Anal.
Harshita Sharma, Lior Drukker, Pierre Chatelain, Richard Droste, Aris T. Papageorghiou, J. Alison Noble
2021 J jnl
Machine learning-based analysis of operator pupillary response to assess cognitive workload in clinical ultrasound imaging.
Comput. Biol. Medicine
Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble
2021 — conf
Multi-Modal Learning from Video, Eye Tracking, and Pupillometry for Operator Skill Characterization in Clinical Fetal Ultrasound.
ISBI
Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble
2021 — conf
Multimodal Continual Learning with Sonographer Eye-Tracking in Fetal Ultrasound.
ASMUS@MICCAI
Arijit Patra, Yifan Cai, Pierre Chatelain, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble
2021 — conf
Towards Scale and Position Invariant Task Classification Using Normalised Visual Scanpaths in Clinical Fetal Ultrasound.
ASMUS@MICCAI
Clare Teng, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble
2020 — conf
A Curriculum Learning Based Approach to Captioning Ultrasound Images.
ASMUS/PIPPI@MICCAI
Mohammad Alsharid, Rasheed El-Bouri, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble
2020 — conf
Differentiating Operator Skill During Routine Fetal Ultrasound Scanning Using Probe Motion Tracking.
ASMUS/PIPPI@MICCAI
Yipei Wang, Richard Droste, Jianbo Jiao, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble
2020 — conf
Discovering Salient Anatomical Landmarks by Predicting Human Gaze.
ISBI
Richard Droste, Pierre Chatelain, Lior Drukker, Harshita Sharma, Aris T. Papageorghiou, Julia Alison Noble
2020 J jnl
Discovering Salient Anatomical Landmarks by Predicting Human Gaze.
CoRR
Richard Droste, Pierre Chatelain, Lior Drukker, Harshita Sharma, Aris T. Papageorghiou, J. Alison Noble
2020 J jnl
Evaluation of Gaze Tracking Calibration for Longitudinal Biomedical Imaging Studies.
IEEE Trans. Cybern.
Pierre Chatelain, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble
2020 J jnl
Spatio-temporal visual attention modelling of standard biometry plane-finding navigation.
Medical Image Anal.
Yifan Cai, Richard Droste, Harshita Sharma, Pierre Chatelain, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble
2019 — conf
Captioning Ultrasound Images Automatically.
MICCAI (4)
Mohammad Alsharid, Harshita Sharma, Lior Drukker, Pierre Chatelain, Aris T. Papageorghiou, J. Alison Noble
2019 — conf
Efficient Ultrasound Image Analysis Models with Sonographer Gaze Assisted Distillation.
MICCAI (4)
Arijit Patra, Yifan Cai, Pierre Chatelain, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble
2019 — conf
Spatio-Temporal Partitioning And Description Of Full-Length Routine Fetal Anomaly Ultrasound Scans.
ISBI
Harshita Sharma, Richard Droste, Pierre Chatelain, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble
2019 — conf
Towards Capturing Sonographic Experience: Cognition-Inspired Ultrasound Video Saliency Prediction.
MIUA
Richard Droste, Yifan Cai, Harshita Sharma, Pierre Chatelain, Aris T. Papageorghiou, J. Alison Noble
2019 — conf
Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention.
IPMI
Richard Droste, Yifan Cai, Harshita Sharma, Pierre Chatelain, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble
2019 J jnl
Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention.
CoRR
Richard Droste, Yifan Cai, Harshita Sharma, Pierre Chatelain, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble
2018 — conf
Multi-task SonoEyeNet: Detection of Fetal Standardized Planes Assisted by Generated Sonographer Attention Maps.
MICCAI (1)
Yifan Cai, Harshita Sharma, Pierre Chatelain, J. Alison Noble
2018 — conf
SonoEyeNet: Standardized fetal ultrasound plane detection informed by eye tracking.
ISBI
Yifan Cai, Harshita Sharma, Pierre Chatelain, J. Alison Noble
2017 B conf
A Comparative Study of Cell Nuclei Attributed Relational Graphs for Knowledge Description and Categorization in Histopathological Gastric Cancer Whole Slide Images.
CBMS
Harshita Sharma, Norman Zerbe, Christine Boger, Stephan Wienert, Olaf Hellwich, Peter Hufnagl
2017 J jnl
Deep convolutional neural networks for automatic classification of gastric carcinoma using whole slide images in digital histopathology.
Comput. Medical Imaging Graph.
Harshita Sharma, Norman Zerbe, Iris Klempert, Olaf Hellwich, Peter Hufnagl
2016 — conf
Cell nuclei attributed relational graphs for efficient representation and classification of gastric cancer in digital histopathology.
Digital Pathology
Harshita Sharma, Norman Zerbe, Daniel Heim, Stephan Wienert, Sebastian Lohmann, Olaf Hellwich, Peter Hufnagl
2015 — conf
A Multi-resolution Approach for Combining Visual Information using Nuclei Segmentation and Classification in Histopathological Images.
VISAPP (3)
Harshita Sharma, Norman Zerbe, Daniel Heim, Stephan Wienert, Hans-Michael Behrens, Olaf Hellwich, Peter Hufnagl
2015 C conf
Appearance-based necrosis detection using textural features and SVM with discriminative thresholding in histopathological whole slide images.
BIBE
Harshita Sharma, Norman Zerbe, Iris Klempert, Sebastian Lohmann, Björn Lindequist, Olaf Hellwich, Peter Hufnagl