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Daniel Coelho de Castro

cs.CVcs.LGcs.CLcs.AIeess.IVstat.MLcs.HCDeep LearningActivity PredictionAdenocarcinoma

On Valency

published · living versions
W_e3f7vbsb·v1 · currentpublished
Attribution-based diagnostics for single-cell foundation models
with Farnoush Rezaei Jafari, Tristan Lazard, Kenza Bouzid, Shruthi Bannur +4
1 version

Preprints & journals

33 papers in the corpus · 2015–2025
Insights into a radiology-specialised multimodal large language model with sparse autoencoders2507.12950v2 · Kenza Bouzid, Shruthi Bannur, Felix Meissen et al.2025 · 0 citationsarXiv
Lunguage: A Benchmark for Structured and Sequential Chest X-ray Interpretation2505.21190v2 · Jong Hak Moon, Geon Choi, Paloma Rabaey et al.2025 · 1 citationarXiv
MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models2411.11362v1 · Harshita Sharma, Valentina Salvatelli, Shaury Srivastav et al.2024 · 1 citationarXiv
PadChest-GR: A Bilingual Chest X-ray Dataset for Grounded Radiology Report Generation2411.05085v2 · Daniel C. Castro, Aurelia Bustos, Shruthi Bannur et al.2024 · 28 citationsarXiv
Rethinking Fair Representation Learning for Performance-Sensitive Tasks2410.04120v2 · Charles Jones, Fabio de Sousa Ribeiro, M'elanie Roschewitz et al.2024 · 1 citationarXiv
An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation2410.03334v1 · Ahmed Abdulaal, Hugo Fry, Nina Montana-Brown et al.2024 · 2 citationsarXiv
MAIRA-2: Grounded Radiology Report Generation2406.04449v2 · Shruthi Bannur, Kenza Bouzid, Daniel C. Castro et al.2024 · 19 citationsarXiv
Enabling large-scale screening of Barrett's esophagus using weakly supervised deep learning in histopathology.38467600 · Bouzid, Kenza, Sharma, Harshita, Killcoyne, Sarah et al.2024 · 30 citationsNature communications. 2024;15(1):2026
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology2402.14252v1 · Nur Yildirim, Hannah Richardson, Maria T. Wetscherek et al.2024 · 82 citationsarXiv
Exploring scalable medical image encoders beyond text supervision2401.10815v3 · Fernando P'erez-Garc'ia, Harshita Sharma, Sam Bond-Taylor et al.2024 · 88 citationsNature Machine Intelligence (2025)
MAIRA-1: A specialised large multimodal model for radiology report generation2311.13668v3 · Stephanie L. Hyland, Shruthi Bannur, Kenza Bouzid et al.2023 · 16 citationsarXiv
Exploring the Boundaries of GPT-4 in Radiology2310.14573v1 · Qianchu Liu, Stephanie Hyland, Shruthi Bannur et al.2023 · 25 citationsarXiv
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging2307.16526v1 · Charles Jones, Daniel C. Castro, Fabio De Sousa Ribeiro et al.2023 · 3 citationsarXiv
Measuring axiomatic soundness of counterfactual image models2303.01274v1 · Miguel Monteiro, Fabio De Sousa Ribeiro, Nick Pawlowski et al.2023 · 3 citationsThe Eleventh International Conference on Learning Representations, ICLR 2023
Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing2301.04558v2 · Shruthi Bannur, Stephanie Hyland, Qianchu Liu et al.2023 · 224 citationsarXiv
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation2211.01886v1 · Margherita Rosnati, Fabio De Sousa Ribeiro, Miguel Monteiro et al.2022 · 1 citationarXiv
Deep Structural Causal Shape Models2208.10950v1 · Rajat Rasal, Daniel C. Castro, Nick Pawlowski et al.2022 · 7 citationsarXiv
Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing2204.09817v4 · Benedikt Boecking, Naoto Usuyama, Shruthi Bannur et al.2022 · 312 citationsComputer Vision - ECCV 2022, LNCS vol 13696, pp 1-21
Active label cleaning for improved dataset quality under resource constraints.35246539 · Bernhardt, Mélanie, Castro, Daniel C, Tanno, Ryutaro et al.2022 · 110 citationsNature communications. 2022;13(1):1161
Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs2107.06618v1 · Shruthi Bannur, Ozan Oktay, Melanie Bernhardt et al.2021 · 1 citationarXiv
Image-level Harmonization of Multi-Site Data using Image-and-Spatial Transformer Networks2006.16741v1 · R. Robinson, Q. Dou, D.C. Castro et al.2020 · 23 citationsMedical Image Computing and Computer-Assisted Intervention (2020), pp. 710-719, LNCS 12267
Deep Structural Causal Models for Tractable Counterfactual Inference2006.06485v2 · Nick Pawlowski, Daniel C. Castro, Ben Glocker2020 · 96 citationsarXiv
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty2006.06015v2 · Miguel Monteiro, Loic Le Folgoc, Daniel Coelho de Castro et al.2020 · 88 citationsarXiv
Causality matters in medical imaging1912.08142v1 · Daniel C. Castro, Ian Walker, Ben Glocker2019 · 407 citationsNature Communications 11 (2020) 3673
Domain Generalization via Model-Agnostic Learning of Semantic Features1910.13580v1 · Qi Dou, Daniel C. Castro, Konstantinos Kamnitsas et al.2019 · 490 citationsarXiv
Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects1910.04597v1 · Ben Glocker, Robert Robinson, Daniel C. Castro et al.2019 · 73 citationsarXiv
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning1809.10780v3 · Daniel C. Castro, Jeremy Tan, Bernhard Kainz et al.2018 · 32 citationsJournal of Machine Learning Research 20 (2019)
Semi-Supervised Learning via Compact Latent Space Clustering1806.02679v2 · Konstantinos Kamnitsas, Daniel C. Castro, Loic Le Folgoc et al.2018 · 70 citationsarXiv
Let's Dance: Learning From Online Dance Videos1801.07388v1 · Daniel Castro, Steven Hickson, Patsorn Sangkloy et al.2018 · 13 citationsarXiv
Discovering Picturesque Highlights from Egocentric Vacation Videos1601.04406v1 · Vinay Bettadapura, Daniel Castro, Irfan Essa2016 · 14 citationsarXiv
Predicting Daily Activities From Egocentric Images Using Deep Learning.29553145 · Castro, Daniel, Hickson, Steven, Bettadapura, Vinay et al.2020 · 89 citationsProceedings. International Symposium on Wearable Computers. 2015;2015:75-82
Career total: 42 works. 33 are in this corpus.

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