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Tommy Löfstedt

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A Systematic Approach to Robustness Modelling for Deep Convolutional Neural Networks

Jan 24, 2024
Charles Meyers, Mohammad Reza Saleh Sedghpour, Tommy Löfstedt, Erik Elmroth

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LatentAugment: Data Augmentation via Guided Manipulation of GAN's Latent Space

Jul 21, 2023
Lorenzo Tronchin, Minh H. Vu, Paolo Soda, Tommy Löfstedt

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QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation -- Analysis of Ranking Metrics and Benchmarking Results

Dec 19, 2021
Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil Nalawade, Chandan Ganesh, Ben Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Daza, Catalina Gómez, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat AK, Sarahi Rosas-González, Illyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Veronica Vilaplana, Hugh McHugh, Gonzalo Maso Talou, Alan Wang, Jay Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth 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, Elodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Llado, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas Tustison, Craig Meyer, Nisarg A. Shah, Sanjay Talbar, Marc-Andr Weber, Abhishek Mahajan, Andras Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel Marcus, Aikaterini Kotrotsou, Rivka Colen, John Freymann, Justin Kirby, Christos Davatzikos, Bjoern Menze, Spyridon Bakas, Yarin Gal, Tal Arbel

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A Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image Segmentation

Apr 22, 2021
Minh H. Vu, Gabriella Norman, Tufve Nyholm, Tommy Löfstedt

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Multi-Decoder Networks with Multi-Denoising Inputs for Tumor Segmentation

Nov 16, 2020
Minh H. Vu, Tufve Nyholm, Tommy Löfstedt

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A Question-Centric Model for Visual Question Answering in Medical Imaging

Mar 02, 2020
Minh H. Vu, Tommy Löfstedt, Tufve Nyholm, Raphael Sznitman

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Evaluation of Multi-Slice Inputs to Convolutional Neural Networks for Medical Image Segmentation

Dec 22, 2019
Minh H. Vu, Guus Grimbergen, Tufve Nyholm, Tommy Löfstedt

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End-to-End Cascaded U-Nets with a Localization Network for Kidney Tumor Segmentation

Oct 16, 2019
Minh H. Vu, Guus Grimbergen, Attila Simkó, Tufve Nyholm, Tommy Löfstedt

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TuNet: End-to-end Hierarchical Brain Tumor Segmentation using Cascaded Networks

Oct 11, 2019
Minh H. Vu, Tufve Nyholm, Tommy Löfstedt

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