Daniel Capellán-Martín

20 papers Journal 10Unranked 10
YearRankTypeTitle / Venue / Authors
2025 — conf
Adaptable Segmentation Pipeline for Diverse Brain Tumors with Radiomic-Guided Subtyping and Lesion-Wise Model Ensemble.
BraTS-Lighthouse/AIMS-TBI@MICCAI (1)
Daniel Capellán-Martín, Abhijeet Parida, Zhifan Jiang, Nishad Kulkarni, Krithika Iyer, Austin Tapp, Syed Muhammad Anwar, María J. Ledesma-Carbayo, Marius George Linguraru
2025 J jnl
Adaptable Segmentation Pipeline for Diverse Brain Tumors with Radiomic-guided Subtyping and Lesion-Wise Model Ensemble.
CoRR
Daniel Capellán-Martín, Abhijeet Parida, Zhifan Jiang, Nishad Kulkarni, Krithika Iyer, Austin Tapp, Syed Muhammad Anwar, María J. Ledesma-Carbayo, Marius George Linguraru
2025 — conf
Controllable Latent Diffusion-Based 3D Brain Tumor Segmentation: With Synthetic Label Generation and Detailed Variance Map.
ISBI
Xinyang Liu, Pengfei Guo, Daniel Capellán-Martín, Zhifan Jiang, Holger R. Roth, Austin Tapp, María J. Ledesma-Carbayo, Syed Muhammad Anwar, Marius George Linguraru
2025 — conf
Improving Pre-trained Adult Glioma Segmentation Models Using only Post-processing Techniques.
BraTS-Lighthouse/AIMS-TBI@MICCAI (1)
Abhijeet Parida, Daniel Capellán-Martín, Zhifan Jiang, Nishad Kulkarni, Krithika Iyer, Austin Tapp, Syed Muhammad Anwar, María J. Ledesma-Carbayo, Marius George Linguraru
2025 J jnl
Improving Pre-trained Segmentation Models using Post-Processing.
CoRR
Abhijeet Parida, Daniel Capellán-Martín, Zhifan Jiang, Nishad Kulkarni, Krithika Iyer, Austin Tapp, Syed Muhammad Anwar, María J. Ledesma-Carbayo, Marius George Linguraru
2025 J jnl
Post-Processing Methods for Improving Accuracy in MRI Inpainting.
CoRR
Nishad Kulkarni, Krithika Iyer, Austin Tapp, Abhijeet Parida, Daniel Capellán-Martín, Zhifan Jiang, María J. Ledesma-Carbayo, Syed Muhammad Anwar, Marius George Linguraru
2025 — conf
Post-processing Methods for Improving Accuracy in MRI Inpainting.
BraTS-Lighthouse/AIMS-TBI@MICCAI (2)
Nishad Kulkarni, Krithika Iyer, Austin Tapp, Abhijeet Parida, Daniel Capellán-Martín, Zhifan Jiang, María J. Ledesma-Carbayo, Syed Muhammad Anwar, Marius George Linguraru
2024 J jnl
Adult Glioma Segmentation in Sub-Saharan Africa using Transfer Learning on Stratified Finetuning Data.
CoRR
Abhijeet Parida, Daniel Capellán-Martín, Zhifan Jiang, Austin Tapp, Xinyang Liu, Syed Muhammad Anwar, María J. Ledesma-Carbayo, Marius George Linguraru
2024 J jnl
DiCoM - Diverse Concept Modeling towards Enhancing Generalizability in Chest X-Ray Studies.
CoRR
Abhijeet Parida, Daniel Capellán-Martín, Sara Atito, Muhammad Awais, María J. Ledesma-Carbayo, Marius George Linguraru, Syed Muhammad Anwar
2024 — conf
Enhancing Generalizability in Brain Tumor Segmentation: Model Ensemble with Adaptive Post-Processing.
ISBI
Zhifan Jiang, Daniel Capellán-Martín, Abhijeet Parida, Xinyang Liu, María J. Ledesma-Carbayo, Syed Muhammad Anwar, Marius George Linguraru
2024 J jnl
Magnetic Resonance Imaging Feature-Based Subtyping and Model Ensemble for Enhanced Brain Tumor Segmentation.
CoRR
Zhifan Jiang, Daniel Capellán-Martín, Abhijeet Parida, Austin Tapp, Xinyang Liu, María J. Ledesma-Carbayo, Syed Muhammad Anwar, Marius George Linguraru
2024 J jnl
Model Ensemble for Brain Tumor Segmentation in Magnetic Resonance Imaging.
CoRR
Daniel Capellán-Martín, Zhifan Jiang, Abhijeet Parida, Xinyang Liu, Van Lam, Hareem Nisar, Austin Tapp, Sarah Elsharkawi, María J. Ledesma-Carbayo, Syed Muhammad Anwar, Marius George Linguraru
2024 — conf
Zero-Shot Pediatric Tuberculosis Detection in Chest X-Rays Using Self-Supervised Learning.
ISBI
Daniel Capellán-Martín, Abhijeet Parida, Juan J. Gómez-Valverde, Ramon Sánchez-Jacob, Pooneh Roshanitabrizi, Marius George Linguraru, María J. Ledesma-Carbayo, Syed Muhammad Anwar
2024 J jnl
Zero-Shot Pediatric Tuberculosis Detection in Chest X-Rays using Self-Supervised Learning.
CoRR
Daniel Capellán-Martín, Abhijeet Parida, Juan J. Gómez-Valverde, Ramon Sánchez-Jacob, Pooneh Roshanitabrizi, Marius George Linguraru, María J. Ledesma-Carbayo, Syed Muhammad Anwar
2023 — conf
A Lightweight, Rapid and Efficient Deep Convolutional Network for Chest X-Ray Tuberculosis Detection.
ISBI
Daniel Capellán-Martín, Juan J. Gomez-Valverde, David Bermejo-Peláez, María J. Ledesma-Carbayo
2023 J jnl
A Lightweight, Rapid and Efficient Deep Convolutional Network for Chest X-Ray Tuberculosis Detection.
CoRR
Daniel Capellán-Martín, Juan J. Gómez-Valverde, David Bermejo-Peláez, María J. Ledesma-Carbayo
2023 J jnl
Deep learning-based lung segmentation and automatic regional template in chest X-ray images for pediatric tuberculosis.
CoRR
Daniel Capellán-Martín, Juan J. Gomez-Valverde, Ramon Sánchez-Jacob, David Bermejo-Peláez, Lara García-Delgado, Elisa López-Varela, María J. Ledesma-Carbayo
2023 — conf
Deep learning-based lung segmentation and automatic regional template in chest x-ray images for pediatric tuberculosis.
Computer-Aided Diagnosis
Daniel Capellán-Martín, Juan J. Gómez-Valverde, Ramon Sánchez-Jacob, David Bermejo-Peláez, Lara García-Delgado, Elisa López-Varela, María J. Ledesma-Carbayo
2023 — conf
Model Ensemble for Brain Tumor Segmentation in Magnetic Resonance Imaging.
BraTS/CrossMoDA@MICCAI
Daniel Capellán-Martín, Zhifan Jiang, Abhijeet Parida, Xinyang Liu, Van Lam, Hareem Nisar, Austin Tapp, Sarah Elsharkawi, María J. Ledesma-Carbayo, Syed Muhammad Anwar, Marius George Linguraru
2021 — conf
Combining collective and artificial intelligence for global health diseases diagnosis using crowdsourced annotated medical images.
EMBC
Lin Lin, David Bermejo-Peláez, Daniel Capellán-Martín, Daniel Cuadrado, Cristina Rodríguez, Lydia García, Nuria Díez, Rocío Tomé, María Postigo, María-Jesus Ledesma-Carbayo, Miguel A. Luengo-Oroz