Aneesh Rangnekar

27 papers A 2Journal 17Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MHub.ai: A Simple, Standardized, and Reproducible Platform for AI Models in Medical Imaging. CoRR Leonard Nürnberg, Dennis Bontempi, Suraj Pai, Curtis Lisle, Steven D. Pieper, Ron Kikinis, Sil van de Leemput, Rahul Soni, Gowtham Murugesan, Cosmin Ciausu, Miriam Groeneveld, Felix J. Dorfner, Jue Jiang, Aneesh Rangnekar, Harini Veeraraghavan, Joeran S. Bosma, Keno K. Bressem, Raymond H. Mak, Andrey Fedorov, Hugo J. W. L. Aerts
2025	J	`jnl`	Dual Cross-Attention Siamese Transformer for Rectal Tumor Regrowth Assessment in Watch-and-Wait Endoscopy. CoRR Jorge Tapias Gomez, Despoina Kanata, Aneesh Rangnekar, Christina Lee, Julio Garcia-Aguilar, Joshua Jesse Smith, Harini Veeraraghavan
2025	J	`jnl`	Pretrained hybrid transformer for generalizable cardiac substructures segmentation from contrast and non-contrast CTs in lung and breast cancers. CoRR Aneesh Rangnekar, Nikhil Mankuzhy, Jonas Willmann, Chloe Min Seo Choi, Abraham J. Wu, Maria Thor, Andreas Rimner, Harini Veeraraghavan
2025	J	`jnl`	Random forest-based out-of-distribution detection for robust lung cancer segmentation. CoRR Aneesh Rangnekar, Harini Veeraraghavan
2025	J	`jnl`	Tumor-anchored deep feature random forests for out-of-distribution detection in lung cancer segmentation. CoRR Aneesh Rangnekar, Harini Veeraraghavan
2025	J	`jnl`	brat: Aligned Multi-View Embeddings for Brain MRI Analysis. CoRR Maxime Kayser, Maksim Gridnev, Wanting Wang, Max Bain, Aneesh Rangnekar, Avijit Chatterjee, Aleksandr Petrov, Harini Veeraraghavan, Nathaniel C. Swinburne
2024	J	`jnl`	Deep learning classifier of locally advanced rectal cancer treatment response from endoscopy images. CoRR Jorge Tapias Gomez, Aneesh Rangnekar, Hannah Williams, Hannah Thompson, Julio Garcia-Aguilar, Joshua Jesse Smith, Harini Veeraraghavan
2024	J	`jnl`	Self-supervised learning improves robustness of deep learning lung tumor segmentation to CT imaging differences. CoRR Jue Jiang, Aneesh Rangnekar, Harini Veeraraghavan
2024	J	`jnl`	Trustworthiness of Pretrained Transformers for Lung Cancer Segmentation. CoRR Aneesh Rangnekar, Nishant Nadkarni, Jue Jiang, Harini Veeraraghavan
2023	—	`conf`	3D Swin Transformer for Partial Medical Auto Segmentation. FLARE@MICCAI Aneesh Rangnekar, Jue Jiang, Harini Veeraraghavan
2023	A	`conf`	Semantic Segmentation with Active Semi-Supervised Learning. WACV Aneesh Rangnekar, Christopher Kanan, Matthew J. Hoffman
2022	J	`jnl`	Semantic Segmentation with Active Semi-Supervised Learning. CoRR Aneesh Rangnekar, Christopher Kanan, Matthew J. Hoffman
2022	A	`conf`	Semantic Segmentation with Active Semi-Supervised Representation Learning. BMVC Aneesh Rangnekar, Christopher Kanan, Matthew J. Hoffman
2022	J	`jnl`	Semantic Segmentation with Active Semi-Supervised Representation Learning. CoRR Aneesh Rangnekar, Christopher Kanan, Matthew J. Hoffman
2022	—	`conf`	Semi-Supervised Hyperspectral Object Detection Challenge Results - PBVS 2022. CVPR Workshops Aneesh Rangnekar, Zachary Mulhollan, Anthony Vodacek, Matthew J. Hoffman, Ángel D. Sappa, Erik Blasch, Jun Yu, Liwen Zhang, Shenshen Du, Hao Chang, Keda Lu, Zhong Zhang, Fang Gao, Ye Yu, Feng Shuang, Lei Wang, Qiang Ling, Pranjay Shyam, Kuk-Jin Yoon, Kyung-Soo Kim
2022	—	`conf`	SpecAL: Towards Active Learning for Semantic Segmentation of Hyperspectral Imagery. DDDAS Aneesh Rangnekar, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman
2020	J	`jnl`	AeroRIT: A New Scene for Hyperspectral Image Analysis. IEEE Trans. Geosci. Remote. Sens. Aneesh Rangnekar, Nilay Mokashi, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman
2020	—	`conf`	Calibrated Vehicle Paint Signatures for Simulating Hyperspectral Imagery. CVPR Workshops Zachary Mulhollan, Aneesh Rangnekar, Timothy D. Bauch, Matthew J. Hoffman, Anthony Vodacek
2020	—	`conf`	Fine-Tuning for One-Look Regression Vehicle Counting in Low-Shot Aerial Datasets. ICPR Workshops (8) Aneesh Rangnekar, Yi Yao, Matthew J. Hoffman, Ajay Divakaran
2020	—	`conf`	Occlusion Detection for Dynamic Adaptation. DDDAS Zachary Mulhollan, Aneesh Rangnekar, Anthony Vodacek, Matthew J. Hoffman
2020	—	`conf`	Uncertainty Estimation for Semantic Segmentation of Hyperspectral Imagery. DDDAS Aneesh Rangnekar, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman
2019	J	`jnl`	AeroRIT: A New Scene for Hyperspectral Image Analysis. CoRR Aneesh Rangnekar, Nilay Mokashi, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman
2019	J	`jnl`	Tracking in Aerial Hyperspectral Videos Using Deep Kernelized Correlation Filters. IEEE Trans. Geosci. Remote. Sens. Burak Uzkent, Aneesh Rangnekar, Matthew J. Hoffman
2017	J	`jnl`	Aerial Spectral Super-Resolution using Conditional Adversarial Networks. CoRR Aneesh Rangnekar, Nilay Mokashi, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman
2017	—	`conf`	Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood Maps. CVPR Workshops Burak Uzkent, Aneesh Rangnekar, Matthew J. Hoffman
2017	J	`jnl`	Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood Maps. CoRR Burak Uzkent, Aneesh Rangnekar, Matthew J. Hoffman
2017	J	`jnl`	Tracking in Aerial Hyperspectral Videos using Deep Kernelized Correlation Filters. CoRR Burak Uzkent, Aneesh Rangnekar, Matthew J. Hoffman