Advancing Brain Tumor Analysis: Curating a High-Quality MRI Dataset for Deep Learning-Based Molecular Marker Profiling.

Ananth J. Madhuranthakam Divya D. Reddy Niloufar Saadat James M. Holcomb Benjamin C. Wagner Nghi C. Truong Jason Bowerman Kimmo J. Hatanpaa Toral R. Patel Marco C. Pinho Ananth J. Madhuranthakam Chandan Ganesh Bangalore Yogananda Joseph A. Maldjian Advancing Brain Tumor Analysis: Curating a High-Quality MRI Dataset for Deep Learning-Based Molecular Marker Profiling. 2373-2379 2024 CVPR Workshops https://doi.org/10.1109/CVPRW63382.2024.00243 conf/cvpr/2024w db/conf/cvpr/cvprw2024.html#ReddySHWTBHPPMY22 James Huang Quyen N. Do Maysam Shahedi Yin Xi Matthew A. Lewis Christina L. Herrera David Owen Catherine Y. Spong Ananth J. Madhuranthakam Diane M. Twickler Baowei Fei Deep-learning-based automatic segmentation of the placenta and uterine cavity on prenatal MR images. 2023 Computer-Aided Diagnosis https://doi.org/10.1117/12.2653659 conf/micad/2023 db/conf/micad/micad2023.html#HuangDSXLHOSMTF23 James Huang Maysam Shahedi Quyen N. Do Yin Xi Matthew A. Lewis Christina L. Herrera David Owen Catherine Y. Spong Ananth J. Madhuranthakam Diane M. Twickler Baowei Fei Topography-based feature extraction of the human placenta from prenatal MR images. 2023 Image Processing https://doi.org/10.1117/12.2653663 conf/miip/2023 db/conf/miip/miip2023.html#HuangSDXLHOSMTF23 Maysam Shahedi James D. Dormer Quyen N. Do Yin Xi Matthew A. Lewis Christina L. Herrera Catherine Y. Spong Ananth J. Madhuranthakam Diane M. Twickler Baowei Fei Automatic segmentation of uterine cavity and placenta on MR images using deep learning. 2022 Biomedical Applications in Molecular, Structural, and Functional Imaging https://doi.org/10.1117/12.2613286 conf/mibam/2022 db/conf/mibam/mibam2022.html#ShahediDDXLHSMT22 Ka'Toria N. Leitch Maysam Shahedi James D. Dormer Quyen N. Do Yin Xi Matthew A. Lewis Christina L. Herrera Catherine Y. Spong Ananth J. Madhuranthakam Diane M. Twickler Baowei Fei Placenta accreta spectrum and hysterectomy prediction using MRI radiomic features. 2022 Computer-Aided Diagnosis https://doi.org/10.1117/12.2611587 conf/micad/2022 db/conf/micad/micad2022.html#LeitchSDDXLHSMT22 James D. Dormer Michael Villordon Maysam Shahedi Ka'Toria N. Leitch Quyen N. Do Yin Xi Matthew A. Lewis Ananth J. Madhuranthakam Christina L. Herrera Catherine Y. Spong Diane M. Twickler Baowei Fei CascadeNet for hysterectomy prediction in pregnant women due to placenta accreta spectrum. 2022 Image Processing https://doi.org/10.1117/12.2611580 conf/miip/2022 db/conf/miip/miip2022.html#DormerVSLDXLMHS22 Chandan Ganesh Bangalore Yogananda Yudhajit Das Benjamin C. Wagner Sahil S. Nalawade Divya D. Reddy James M. Holcomb Marco C. Pinho Baowei Fei Ananth J. Madhuranthakam Joseph A. Maldjian Disparity Autoencoders for Multi-class Brain Tumor Segmentation. 116-124 2021 BrainLes@MICCAI (2) https://doi.org/10.1007/978-3-031-09002-8_11 conf/brainles-ws/2021-2 db/conf/brainles-ws/brainles-ws2021-2.html#YoganandaDWNRHP21 Sahil S. Nalawade Chandan Ganesh Benjamin C. Wagner Divya D. Reddy Yudhajit Das Fang F. Yu Baowei Fei Ananth J. Madhuranthakam Joseph A. Maldjian Federated Learning for Brain Tumor Segmentation Using MRI and Transformers. 444-454 2021 BrainLes@MICCAI (2) https://doi.org/10.1007/978-3-031-09002-8_39 conf/brainles-ws/2021-2 db/conf/brainles-ws/brainles-ws2021-2.html#NalawadeGWRDYFM21 Yin Xi Maysam Shahedi Quyen N. Do James D. Dormer Matthew A. Lewis Baowei Fei Catherine Y. Spong Ananth J. Madhuranthakam Diane M. Twickler Assessing reproducibility in magnetic resonance (MR) radiomics features between deep-learning segmented and expert manual segmented data and evaluating their diagnostic performance in pregnant women with suspected placenta accreta spectrum (PAS). 2021 Computer-Aided Diagnosis https://doi.org/10.1117/12.2581467 conf/micad/2021 db/conf/micad/micad2021.html#XiSDDLFSMT21

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 0011 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 0016 Mariano Cabezas Xavier Lladó Arnau Oliver Liliana Valencia Sergi Valverde Mehdi Amian Mohammadreza Soltaninejad Andriy Myronenko Ali Hatamizadeh Xue Feng 0001 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. 2021 abs/2112.10074 CoRR https://arxiv.org/abs/2112.10074 db/journals/corr/corr2112.html#abs-2112-10074

Gowtham Krishnan Murugesan Sahil S. Nalawade Chandan Ganesh Benjamin C. Wagner Fang F. Yu Baowei Fei Ananth J. Madhuranthakam Joseph A. Maldjian Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation. 448-457 2020 BrainLes@MICCAI (1) https://doi.org/10.1007/978-3-030-72084-1_40 conf/brainles-ws/2020-1 db/conf/brainles-ws/brainles-ws2020-1.html#MurugesanNGWYFM20 Maysam Shahedi James D. Dormer T. T. Anusha Devi Quyen N. Do Yin Xi Matthew A. Lewis Ananth J. Madhuranthakam Diane M. Twickler Baowei Fei Segmentation of uterus and placenta in MR images using a fully convolutional neural network. 2020 Computer-Aided Diagnosis https://doi.org/10.1117/12.2549873 https://www.wikidata.org/entity/Q96021791 conf/micad/2020 db/conf/micad/micad2020.html#ShahediDDDXLMTF20 Chandan Ganesh Bangalore Yogananda Benjamin C. Wagner Sahil S. Nalawade Gowtham Krishnan Murugesan Marco C. Pinho Baowei Fei Ananth J. Madhuranthakam Joseph A. Maldjian Fully Automated Brain Tumor Segmentation and Survival Prediction of Gliomas Using Deep Learning and MRI. 99-112 2019 BrainLes@MICCAI (2) https://doi.org/10.1007/978-3-030-46643-5_10 conf/brainles-ws/2019-2 db/conf/brainles-ws/brainles-ws2019-2.html#YoganandaWNMPFM19 Gowtham Krishnan Murugesan Sahil S. Nalawade Chandan Ganesh Bangalore Yogananda Benjamin C. Wagner Fang F. Yu Baowei Fei Ananth J. Madhuranthakam Joseph A. Maldjian Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation. 148-157 2019 BrainLes@MICCAI (2) https://doi.org/10.1007/978-3-030-46643-5_14 conf/brainles-ws/2019-2 db/conf/brainles-ws/brainles-ws2019-2.html#MurugesanNYWYFM19 Chandan Ganesh Bangalore Yogananda Benjamin C. Wagner Gowtham Krishnan Murugesan Ananth J. Madhuranthakam Joseph A. Maldjian A Deep Learning Pipeline for Automatic Skull Stripping and Brain Segmentation. 727-731 2019 ISBI https://doi.org/10.1109/ISBI.2019.8759465 conf/isbi/2019 db/conf/isbi/isbi2019.html#YoganandaWMMM19 Behrouz Saghafi Prabhat Garg Benjamin C. Wagner S. Carrie Smith Jianzhao Xu Ananth J. Madhuranthakam Youngkyoo Jung Jasmin Divers Barry I. Freedman Joseph A. Maldjian Albert Montillo Quantifying the Impact of Type 2 Diabetes on Brain Perfusion Using Deep Neural Networks. 151-159 2017 DLMIA/ML-CDS@MICCAI https://doi.org/10.1007/978-3-319-67558-9_18 https://www.wikidata.org/entity/Q90933350 conf/miccai/2017dlmia db/conf/miccai/dlmia2017.html#SaghafiGWSXMJDF17 Mehak Aggarwal Murat Ak Mehdi Amian Elsa D. Angelini Tal Arbel Pablo Andrés ArbeláezPablo Arbeláez Nishanth Thumbavanam Arun Wenjia Bai Ujjwal Baid Spyridon Bakas Laura Mora Ballestar Subhashis Banerjee Nicolas Boutry Jason Bowerman Catalina Gómez Caballero Mariano Cabezas Ken Chang Joseph Chazalon Rivka Colen Katrin DaetwylerKatrin Dätwyler Chengliang Dai Yudhajit Das Christos Davatzikos Laura Alexandra Daza T. T. Anusha Devi Jasmin Divers Quyen N. Do James D. Dormer Quan Dou Hassan M. Fathallah-Shaykh Baowei Fei Xue Feng 0001 Angelos Filos Barry I. Freedman John B. Freymann Yarin Gal Chandan Ganesh Prabhat Garg Elizabeth R. Gerstner Mishka Gidwani Yike Guo Sharut Gupta Ali Hatamizadeh Kimmo J. Hatanpaa Christina L. Herrera Katharina HöbelKatharina Hoebel James M. Holcomb James Huang Alexis Huard Khan M. Iftekharuddin András Jakab Youngkyoo Jung Jayashree Kalpathy-Cramer Justin S. Kirby Aikaterini Kotrotsou Ka'Toria N. Leitch Matthew A. Lewis Xavier Lladó Tommy Löfstedt Jun Ma 0016 Abhishek Mahajan Joseph A. Maldjian Daniel S. Marcus Hugh McHugh Richard McKinley Raghav Mehta Raphael Meier Bjoern H. Menze Craig H. Meyer Mikhail Milchenko Yuanhan Mo Albert Montillo Gowtham MurugesanGowtham Krishnan Murugesan Andriy Myronenko Sahil S. Nalawade Arash Nazeri Tufve Nyholm Arnau Oliver David Owen Jay B. Patel Toral R. Patel Linmin Pei Marco C. Pinho Élodie Puybareau Piotr Radojewski Md Monibor Rahman Hadrien Raynaud Michael Rebsamen Divya D. Reddy Sarahi Rosas-González Niloufar Saadat Behrouz Saghafi Chiharu Sako Nisarg A. Shah Maysam Shahedi Praveer Singh S. Carrie Smith Mohammadreza Soltaninejad Catherine Y. Spong Sanjay N. Talbar Gonzalo D. Maso Talou Clovis Tauber Guillaume Tochon Nghi C. Truong Nicholas J. Tustison Diane M. Twickler Liliana Valencia Sergi Valverde Lasitha Vidyaratne Verónica Vilaplana Michael Villordon Minh H. Vu Benjamin C. Wagner Alan Wang Shuo Wang 0011 Marc-André Weber Roland Wiest Yin Xi Jianzhao Xu Chandan Ganesh Bangalore Yogananda Fang F. Yu Ilyess Zemmoura