Sam Bond-Taylor

24 papers A* 3C 1Journal 15Unranked 5
YearRankTypeTitle / Venue / Authors
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
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 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
2024 A* conf
∞-Diff: Infinite Resolution Diffusion with Subsampled Mollified States.
ICLR
Sam Bond-Taylor, Chris G. Willcocks
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 A* conf
Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers.
ICCV
Abril Corona-Figueroa, Sam Bond-Taylor, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon, Hubert P. H. Shum, Chris G. Willcocks
2023 J jnl
Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers.
CoRR
Abril Corona-Figueroa, Sam Bond-Taylor, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon, Hubert P. H. Shum, Chris G. Willcocks
2023 J jnl
∞-Diff: Infinite Resolution Diffusion with Subsampled Mollified States.
CoRR
Sam Bond-Taylor, Chris G. Willcocks
2022 J jnl
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models.
IEEE Trans. Pattern Anal. Mach. Intell.
Sam Bond-Taylor, Adam Leach, Yang Long, Chris G. Willcocks
2022 — conf
MedNeRF: Medical Neural Radiance Fields for Reconstructing 3D-aware CT-Projections from a Single X-ray.
EMBC
Abril Corona-Figueroa, Jonathan Frawley, Sam Bond-Taylor, Sarath Bethapudi, Hubert P. H. Shum, Chris G. Willcocks
2022 J jnl
MedNeRF: Medical Neural Radiance Fields for Reconstructing 3D-aware CT-Projections from a Single X-ray.
CoRR
Abril Corona-Figueroa, Jonathan Frawley, Sam Bond-Taylor, Sarath Bethapudi, Hubert P. H. Shum, Chris G. Willcocks
2022 — conf
Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes.
ECCV (23)
Sam Bond-Taylor, Peter Hessey, Hiroshi Sasaki, Toby P. Breckon, Chris G. Willcocks
2021 J jnl
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models.
CoRR
Sam Bond-Taylor, Adam Leach, Yang Long, Chris G. Willcocks
2021 A* conf
Gradient Origin Networks.
ICLR
Sam Bond-Taylor, Chris G. Willcocks
2021 J jnl
Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes.
CoRR
Sam Bond-Taylor, Peter Hessey, Hiroshi Sasaki, Toby P. Breckon, Chris G. Willcocks
2020 J jnl
Gradient Origin Networks.
CoRR
Sam Bond-Taylor, Chris G. Willcocks
2020 C conf
Shape tracing: An extension of sphere tracing for 3D non-convex collision in protein docking.
BIBE
Adam Leach, Lucas S. P. Rudden, Sam Bond-Taylor, John C. Brigham, Matteo T. Degiacomi, Chris G. Willcocks