Ananth J. Madhuranthakam

According to our database, Ananth J. Madhuranthakam authored at least 16 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Topography-based feature extraction of the human placenta from prenatal MR images.

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

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Deep-learning-based automatic segmentation of the placenta and uterine cavity on prenatal MR images.

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

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

2022

CascadeNet for hysterectomy prediction in pregnant women due to placenta accreta spectrum.

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

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Placenta accreta spectrum and hysterectomy prediction using MRI radiomic features.

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

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Automatic segmentation of uterine cavity and placenta on MR images using deep learning.

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

Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

2021

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

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

CoRR, 2021

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).

Yin Xi, Maysam Shahedi, Quyen N. Do, James D. Dormer, Matthew A. Lewis, Baowei Fei, Catherine Y. Spong, Ananth J. Madhuranthakam, Diane M. Twickler

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Disparity Autoencoders for Multi-class Brain Tumor Segmentation.

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

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

Federated Learning for Brain Tumor Segmentation Using MRI and Transformers.

Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Divya D. Reddy, Yudhajit Das, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

Segmentation of uterus and placenta in MR images using a fully convolutional neural network.

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

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation.

Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019

A Deep Learning Pipeline for Automatic Skull Stripping and Brain Segmentation.

Chandan Ganesh Bangalore Yogananda, Benjamin C. Wagner, Gowtham Krishnan Murugesan, Ananth J. Madhuranthakam, Joseph A. Maldjian

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Fully Automated Brain Tumor Segmentation and Survival Prediction of Gliomas Using Deep Learning and MRI.

Chandan Ganesh Bangalore Yogananda, Benjamin C. Wagner, Sahil S. Nalawade, Gowtham Krishnan Murugesan, Marco C. Pinho, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation.

Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh Bangalore Yogananda, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2017

Quantifying the Impact of Type 2 Diabetes on Brain Perfusion Using Deep Neural Networks.

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

Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017