Rahul Dodhia

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 36

Top Topics

Lesion Detection

Satellite Imagery

Top Venues

Ecol. Informatics

Comput. Biol. Medicine

Publications

Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo H. O, Carlos F. Uribe, Rahul Dodhia, Juan Lavista Ferres, Arman Rahmim
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset. CoRR (2024)
Andrés Hernández, Zhongqi Miao, Luisa Vargas, Rahul Dodhia, Juan Lavista Ferres
Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation. CoRR (2024)
Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Akram Zaytar, Rahul Dodhia, Tsering Wangyal Shawa, Juan M. Lavista Ferres, Emmanuel H. Kreike
Analyzing Decades-Long Environmental Changes in Namibia Using Archival Aerial Photography and Deep Learning. CoRR (2024)
Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen Wood
Weak Labeling for Cropland Mapping in Africa. CoRR (2024)
Caleb Robinson, Isaac Corley, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery. CoRR (2024)
Akram Zaytar, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Rahul Dodhia, Juan M. Lavista Ferres, Lacey F. Hughey, Jared A. Stabach, Irene Amoke
Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery. CoRR (2024)
Mayana Pereira, Rahul Dodhia, Hyrum Anderson, Richard Brown
Metadata-Based Detection of Child Sexual Abuse Material. IEEE Trans. Dependable Secur. Comput. 21 (4) (2024)
Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan Lavista Ferres, Rafael de Sousa
Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data. CoRR (2023)
Isaac A. Corley, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters. CoRR (2023)
Simone Fobi, Manuel Cardona, Elliott Collins, Caleb Robinson, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Juan Lavista Ferres
Poverty rate prediction using multi-modal survey and earth observation data. COMPASS (2023)
Zalan Fabian, Zhongqi Miao, Chunyuan Li, Yuanhan Zhang, Ziwei Liu, Andrés Hernández, Andrés Montes-Rojas, Rafael Escucha, Laura Siabatto, Andrés Link, Pablo Arbeláez, Rahul Dodhia, Juan Lavista Ferres
Multimodal Foundation Models for Zero-shot Animal Species Recognition in Camera Trap Images. CoRR (2023)
Mayana Pereira, Kevin Greene, Nilima Pisharody, Rahul Dodhia, Jacob N. Shapiro, Juan M. Lavista Ferres
Navigating the Web of Misinformation: A Framework for Misinformation Domain Detection Using Browser Traffic. CoRR (2023)
Shadab Ahamed, Yixi Xu, Claire Gowdy, Joo H. O, Ingrid Bloise, Don Wilson, Patrick Martineau, François Bénard, Fereshteh Yousefirizi, Rahul Dodhia, Juan M. Lavista Ferres, William B. Weeks, Carlos F. Uribe, Arman Rahmim
Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images. CoRR (2023)
Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres
Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event. CoRR (2023)
Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo Hyun O, Carlos F. Uribe, Rahul Dodhia, Juan Lavista Ferres, Arman Rahmim
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset. Medical Imaging: Image Processing (2023)
Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres
Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event. ICCV (Workshops) (2023)
Yixi Xu, Ivan S. Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos Uribe, Arman Rahmim, Juan Lavista Ferres
Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss. Comput. Biol. Medicine 158 (2023)
Simone Fobi Nsutezo, Manuel Cardona, Elliott Collins, Caleb Robinson, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Juan Lavista Ferres
Poverty rate prediction using multi-modal survey and earth observation data. CoRR (2023)
Md Nasir, Tina Sederholm, Anshu Sharma, Sundeep Reddy Mallu, Sumedh Ranjan Ghatage, Rahul Dodhia, Juan Lavista Ferres
Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery. CoRR (2022)
Shahrzad Gholami, Caleb Robinson, Anthony Ortiz, Siyu Yang, Jacopo Margutti, Cameron Birge, Rahul Dodhia, Juan Lavista Ferres
On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach. ICDM (Workshops) (2022)
Anthony Ortiz, Weiyushi Tian, Tenzing Chogyal Sherpa, Finu Shrestha, Mir Matin, Rahul Dodhia, Juan M. Lavista Ferres, Kris Sankaran
Mapping Glacial Lakes Using Historically Guided Segmentation Models. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul Dodhia, Juan M. Lavista Ferres
Mace: A flexible framework for membership privacy estimation in generative models. Trans. Mach. Learn. Res. 2022 (2022)
Caleb Robinson, Anthony Ortiz, Hogeun Park, Nancy Lozano-Gracia, Jon Kher Kaw, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
Fast building segmentation from satellite imagery and few local labels. CoRR (2022)
Caleb Robinson, Anthony Ortiz, Hogeun Park, Nancy Lozano-Gracia, Jon Kher Kaw, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
Fast building segmentation from satellite imagery and few local labels. CVPR Workshops (2022)
Meghana Kshirsagar, Caleb Robinson, Siyu Yang, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres
Becoming Good at AI for Good. CoRR (2021)
Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan Lavista Ferres
An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises. CoRR (2021)
Mayana Pereira, Allen Kim, Joshua Allen, Kevin White, Juan Lavista Ferres, Rahul Dodhia
U.S. Broadband Coverage Data Set: A Differentially Private Data Release. CoRR (2021)
Anusua Trivedi, Mohit Jain, Nikhil Kumar Gupta, Markus Hinsche, Prashant Singh, Markus Matiaschek, Tristan Behrens, Mirco Militeri, Cameron Birge, Shivangi Kaushik, Archisman Mohapatra, Rita Chatterjee, Rahul Dodhia, Juan Lavista Ferres
Height Estimation of Children under Five Years using Depth Images. CoRR (2021)
Meghana Kshirsagar, Caleb Robinson, Siyu Yang, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres
Becoming Good at AI for Good. AIES (2021)
Anusua Trivedi, Mohit Jain, Nikhil Kumar Gupta, Markus Hinsche, Prashant Singh, Markus Matiaschek, Tristan Behrens, Mirco Militeri, Cameron Birge, Shivangi Kaushik, Archisman Mohapatra, Rita Chatterjee, Rahul Dodhia, Juan Lavista Ferres
Height Estimation of Children under Five Years using Depth Images. EMBC (2021)
Ming Zhong, Ruth Taylor, Naomi Bates, Damian Christey, Hari Basnet, Jennifer Flippin, Shane Palkovitz, Rahul Dodhia, Juan Lavista Ferres
Acoustic detection of regionally rare bird species through deep convolutional neural networks. Ecol. Informatics 64 (2021)
Anusua Trivedi, Alyssa Suhm, Prathamesh Mahankal, Subhiksha Mukuntharaj, Meghana D. Parab, Malvika Mohan, Meredith Berger, Arathi Sethumadhavan, Ashish Jaiman, Rahul Dodhia
Defending Democracy: Using Deep Learning to Identify and Prevent Misinformation. CoRR (2021)
Anusua Trivedi, Jocelyn Desbiens, Ron Gross, Sunil Gupta, Rahul Dodhia, Juan Lavista Ferres
Retinal Microvasculature as Biomarker for Diabetes and Cardiovascular Diseases. CoRR (2021)
Jack LeBien, Ming Zhong, Marconi Campos-Cerqueira, Julian P. Velev, Rahul Dodhia, Juan Lavista Ferres, T. Mitchell Aide
A pipeline for identification of bird and frog species in tropical soundscape recordings using a convolutional neural network. Ecol. Informatics 59 (2020)
Mayana Pereira, Rahul Dodhia, Richard Brown
Metadata-Based Detection of Child Sexual Abuse Material. CoRR (2020)
Anusua Trivedi, Sreya Muppalla, Shreyaan Pathak, Azadeh Mobasher, Pawel Janowski, Rahul Dodhia, Juan M. Lavista Ferres
Improving Lesion Detection by exploring bias on Skin Lesion dataset. CoRR (2020)