Arjun Nair

21 papers A* 1Journal 14Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Formally Exploring Time-Series Anomaly Detection Evaluation Metrics.
CoRR
Dennis Wagner, Arjun Nair, Billy Joe Franks, Justus Arweiler, Aparna Muraleedharan, Indra Jungjohann, Fabian Hartung, Mayank C. Ahuja, Andriy Balinskyy, Saurabh Varshneya, Nabeel Hussain Syed, Mayank Nagda, Philipp Liznerski, Steffen Reithermann, Maja Rudolph, Sebastian J. Vollmer, Ralf Schulz, Torsten Katz, Stephan Mandt, Michael Bortz, Heike Leitte, Daniel Neider, Jakob Burger, Fabian Jirasek, Hans Hasse, Sophie Fellenz, Marius Kloft
2024 J jnl
Enhancing cancer prediction in challenging screen-detected incident lung nodules using time-series deep learning.
Comput. Medical Imaging Graph.
Shahab Aslani, Pavan Alluri, Eyjolfur Gudmundsson, Edward Chandy, John McCabe, Anand Devaraj, Carolyn Horst, Sam M. Janes, Rahul Chakkara, Daniel C. Alexander, Arjun Nair, Joseph Jacob
2024 — conf
Exploring Fairness in State-of-the-Art Pulmonary Nodule Detection Algorithms.
FAIMI/EPIMI@MICCAI
John McCabe, Daryl Cheng, Amyn Bhamani, Monica Mullin, Tanya Patrick, Arjun Nair, Sam M. Janes, Carole H. Sudre, Joseph Jacob
2023 J jnl
A 3D deep learning classifier and its explainability when assessing coronary artery disease.
CoRR
Wing Keung Cheung, Jeremy Kalindjian, Robert Bell, Arjun Nair, Leon J. Menezes, Riyaz Patel, Simon Wan, Kacy Chou, Jiahang Chen, Ryo Torii, Rhodri H. Davies, James C. Moon, Daniel C. Alexander, Joseph Jacob
2023 J jnl
TimeSeAD: Benchmarking Deep Multivariate Time-Series Anomaly Detection.
Trans. Mach. Learn. Res.
Dennis Wagner, Tobias Michels, Florian C. F. Schulz, Arjun Nair, Maja Rudolph, Marius Kloft
2022 — conf
CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning.
NAACL-HLT
Xiangru Tang, Arjun Nair, Borui Wang, Bingyao Wang, Jai Desai, Aaron Wade, Haoran Li, Asli Celikyilmaz, Yashar Mehdad, Dragomir R. Radev
2022 J jnl
Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning.
CoRR
Shahab Aslani, Pavan Alluri, Eyjolfur Gudmundsson, Edward Chandy, John McCabe, Anand Devaraj, Carolyn Horst, Sam M. Janes, Rahul Chakkara, Arjun Nair, Daniel C. Alexander, SUMMIT Consortium, Joseph Jacob
2022 A* conf
STRUDEL: Structured Dialogue Summarization for Dialogue Comprehension.
EMNLP
Borui Wang, Chengcheng Feng, Arjun Nair, Madelyn Mao, Jai Desai, Asli Celikyilmaz, Haoran Li, Yashar Mehdad, Dragomir Radev
2022 J jnl
STRUDEL: Structured Dialogue Summarization for Dialogue Comprehension.
CoRR
Borui Wang, Chengcheng Feng, Arjun Nair, Madelyn Mao, Jai Desai, Asli Celikyilmaz, Haoran Li, Yashar Mehdad, Dragomir Radev
2021 J jnl
A Computationally Efficient Approach to Segmentation of the Aorta and Coronary Arteries Using Deep Learning.
IEEE Access
Wing Keung Cheung, Robert Bell, Arjun Nair, Leon J. Menezes, Riyaz Patel, Simon Wan, Kacy Chou, Jiahang Chen, Ryo Torii, Rhodri H. Davies, James C. Moon, Daniel C. Alexander, Joseph Jacob
2021 J jnl
Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data.
CoRR
Loïc Le Folgoc, Vasileios Baltatzis, Amir Alansary, Sujal Desai, Anand Devaraj, Sam Ellis, Octavio E. Martinez Manzanera, Fahdi Kanavati, Arjun Nair, Julia A. Schnabel, Ben Glocker
2021 J jnl
CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning.
CoRR
Xiangru Tang, Arjun Nair, Borui Wang, Bingyao Wang, Jai Desai, Aaron Wade, Haoran Li, Asli Celikyilmaz, Yashar Mehdad, Dragomir R. Radev
2021 J jnl
Is MC Dropout Bayesian?
CoRR
Loïc Le Folgoc, Vasileios Baltatzis, Sujal Desai, Anand Devaraj, Sam Ellis, Octavio E. Martinez Manzanera, Arjun Nair, Huaqi Qiu, Julia A. Schnabel, Ben Glocker
2021 — conf
Patient-Specific 3d Cellular Automata Nodule Growth Synthesis In Lung Cancer Without The Need Of External Data.
ISBI
Octavio E. Martinez Manzanera, Sam Ellis, Vasileios Baltatzis, Arjun Nair, Loïc Le Folgoc, Sujal Desai, Ben Glocker, Julia A. Schnabel
2021 — conf
The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data.
iMIMIC/TDA4MedicalData@MICCAI
Vasileios Baltatzis, Loïc Le Folgoc, Sam Ellis, Octavio E. Martinez Manzanera, Kyriaki-Margarita Bintsi, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel
2021 J jnl
The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data.
CoRR
Vasileios Baltatzis, Loïc Le Folgoc, Sam Ellis, Octavio E. Martinez Manzanera, Kyriaki-Margarita Bintsi, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel
2021 — conf
The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification.
PRIME@MICCAI
Vasileios Baltatzis, Kyriaki-Margarita Bintsi, Loïc Le Folgoc, Octavio E. Martinez Manzanera, Sam Ellis, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel
2021 J jnl
The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification.
CoRR
Vasileios Baltatzis, Kyriaki-Margarita Bintsi, Loïc Le Folgoc, Octavio E. Martinez Manzanera, Sam Ellis, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel
2020 J jnl
Bayesian Sampling Bias Correction: Training with the Right Loss Function.
CoRR
Loïc Le Folgoc, Vasileios Baltatzis, Amir Alansary, Sujal Desai, Anand Devaraj, Sam Ellis, Octavio E. Martinez Manzanera, Fahdi Kanavati, Arjun Nair, Julia A. Schnabel, Ben Glocker
2019 — conf
Modelling Airway Geometry as Stock Market Data Using Bayesian Changepoint Detection.
MLMI@MICCAI
Kin Quan, Ryutaro Tanno, Michael Duong, Arjun Nair, Rebecca Shipley, Mark G. Jones, Christopher Brereton, John R. Hurst, David J. Hawkes, Joseph Jacob
2019 J jnl
Modelling Airway Geometry as Stock Market Data using Bayesian Changepoint Detection.
CoRR
Kin Quan, Ryutaro Tanno, Michael Duong, Arjun Nair, Rebecca Shipley, Mark G. Jones, Christopher Brereton, John R. Hurst, David J. Hawkes, Joseph Jacob