Ananth J. Madhuranthakam

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 15

Top Topics

Brain Tumor Segmentation

Top Venues

BrainLes@MICCAI (2)

Medical Imaging: Computer-Aided Diagnosis

Medical Imaging: Image Processing

Publications

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. Medical Imaging: Image Processing (2023)
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. Medical Imaging: Computer-Aided Diagnosis (2023)
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. Medical Imaging: Image Processing (2022)
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. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2022)
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. Medical Imaging: Computer-Aided Diagnosis (2022)
Chandan Ganesh Bangalore Yogananda, Yudhajit Das, Benjamin C. Wagner, Sahil S. Nalawade, Divya Reddy, James Holcomb, Marco C. Pinho, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian
Disparity Autoencoders for Multi-class Brain Tumor Segmentation. BrainLes@MICCAI (2) (2021)
Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Divya Reddy, Yudhajit Das, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian
Federated Learning for Brain Tumor Segmentation Using MRI and Transformers. BrainLes@MICCAI (2) (2021)
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). Medical Imaging: Computer-Aided Diagnosis (2021)
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, 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 Meyer, Nisarg A. Shah, Sanjay 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 (2021)
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. Medical Imaging: Computer-Aided Diagnosis (2020)
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. BrainLes@MICCAI (1) (2020)
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. ISBI (2019)
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. BrainLes@MICCAI (2) (2019)
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. BrainLes@MICCAI (2) (2019)
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. DLMIA/ML-CDS@MICCAI (2017)