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ORCIDLaura Alexandra Daza
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2020 – today
- 2022
[c9]Laura Alexandra Daza, Jordi Pont-Tuset
, Pablo Arbeláez:
Adversarially Robust Panoptic Segmentation (ARPaS) Benchmark. ECCV Workshops (1) 2022: 378-395- [i5]María Escobar, Laura Alexandra Daza, Cristina González, Jordi Pont-Tuset, Pablo Arbeláez:
Video Swin Transformers for Egocentric Video Understanding @ Ego4D Challenges 2022. CoRR abs/2207.11329 (2022) - 2021
- [j1]Yoganand Balagurunathan, Andrew Beers, Michael F. McNitt-Gray, Lubomir M. Hadjiiski, Sandy Napel, Dmitry B. Goldgof, Gustavo Pérez, Pablo Arbeláez, Alireza Mehrtash, Tina Kapur, Ehwa Yang, Jung Won Moon, Gabriel Bernardino Perez, Ricard Delgado-Gonzalo, Mohammad Mehdi Farhangi, Amir A. Amini, Renkun Ni, Xue Feng, Aditya Bagari, Kiran Vaidhya, Benjamin Veasey, Wiem Safta, Hichem Frigui, Joseph Enguehard, Ali Gholipour, Laura Silvana Castillo, Laura Alexandra Daza, Paul F. Pinsky, Jayashree Kalpathy-Cramer, Keyvan Farahani:
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. IEEE Trans. Medical Imaging 40(12): 3748-3761 (2021) - [c8]Laura Alexandra Daza, Juan C. Pérez, Pablo Arbeláez:
Towards Robust General Medical Image Segmentation. MICCAI (3) 2021: 3-13 - [c7]Mafe Roa, Laura Alexandra Daza, María Escobar, Angela Castillo, Pablo Arbeláez:
SAMA: Spatially-Aware Multimodal Network with Attention For Early Lung Cancer Diagnosis. ML-CDS@MICCAI 2021: 48-58 - [i4]Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Alexandra Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, BeomHee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso:
The Medical Segmentation Decathlon. CoRR abs/2106.05735 (2021) - [i3]Laura Alexandra Daza, Juan C. Pérez, Pablo Arbeláez:
Towards Robust General Medical Image Segmentation. CoRR abs/2107.04263 (2021) - [i2]Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez Caballero, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat Ak, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig H. Meyer, Nisarg A. Shah, Sanjay N. Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel:
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR abs/2112.10074 (2021) - 2020
- [c6]Laura Alexandra Daza, Catalina Gómez Caballero, Pablo Arbeláez:
Cerberus: A Multi-headed Network for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2020: 342-351 - [c5]Laura Alexandra Daza, Angela Castillo, María Escobar, Sergio Valencia, Bibiana Pinzón, Pablo Arbeláez:
LUCAS: LUng CAncer Screening with Multimodal Biomarkers. ML-CDS/CLIP@MICCAI 2020: 115-124 - [c4]Cristina González, María Escobar, Laura Alexandra Daza, Felipe Torres, Gustavo Triana, Pablo Arbeláez:
SIMBA: Specific Identity Markers for Bone Age Assessment. MICCAI (6) 2020: 753-763 - [i1]Cristina González, María Escobar, Laura Alexandra Daza, Felipe Torres, Gustavo Triana, Pablo Arbeláez:
SIMBA: Specific Identity Markers for Bone Age Assessment. CoRR abs/2007.05454 (2020)
2010 – 2019
- 2019
- [c3]María Escobar, Cristina González, Felipe Torres, Laura Alexandra Daza, Gustavo Triana, Pablo Arbeláez:
Hand Pose Estimation for Pediatric Bone Age Assessment. MICCAI (6) 2019: 531-539 - 2017
- [c2]Laura Silvana Castillo, Laura Alexandra Daza, Luis Carlos Rivera, Pablo Arbeláez:
Brain Tumor Segmentation and Parsing on MRIs Using Multiresolution Neural Networks. BrainLes@MICCAI 2017: 332-343 - [c1]Laura Silvana Castillo, Laura Alexandra Daza, Luis Carlos Rivera, Pablo Arbeláez:
Volumetric multimodality neural network for brain tumor segmentation. SIPAIM 2017: 105720E
Coauthor Index
aka: Pablo Arbeláez
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