Learning Spatio-Temporal Aggregation for Fetal Heart Analysis in Ultrasound Video. - Arijit Patra; Weilin Huang; J. Alison Noble (DLMIA/ML-CDS@MICCAI, 2017)

Improving Visual Detection of Wall Motion Abnormality with Echocardiographic Image Enhancing Methods. - Hasmila A. Omar; João S. Domingos; Arijit Patra; Paul Leeson; J. Alison Noble (EMBC, 2018)

Automated Myocardial Wall Motion Classification using Handcrafted Features vs a Deep CNN-based mapping. - Hasmila A. Omar; Arijit Patra; João S. Domingos; Paul Leeson; J. Alison Noble (EMBC, 2018)

Quantification of cardiac bull's-eye map based on principal strain analysis for myocardial wall motion assessment in stress echocardiography. - Hasmila A. Omar; João S. Domingos; Arijit Patra; Ross Upton; Paul Leeson; J. Alison Noble (ISBI, 2018)

Sequential anatomy localization in fetal echocardiography videos. - Arijit Patra (CoRR, 2018)

Water quality information dissemination at real-time in South Africa using language modelling. - Laing Lourens; Arijit Patra; Luqmaan Hassim; Faheem Sima; Avashlin Moodley; Pulkit Sharma (CoRR, 2018)

Multi-anatomy localization in fetal echocardiography videos. - Arijit Patra; J. Alison Noble (ISBI, 2019)

Efficient Ultrasound Image Analysis Models with Sonographer Gaze Assisted Distillation. - Arijit Patra; Yifan Cai; Pierre Chatelain; Harshita Sharma; Lior Drukker; Aris T. Papageorghiou; J. Alison Noble (MICCAI (4), 2019)

Incremental Learning of Fetal Heart Anatomies Using Interpretable Saliency Maps. - Arijit Patra; J. Alison Noble (MIUA, 2019)

Contrastive Algorithmic Fairness: Part 1 (Theory) - Tapabrata Chakraborti; Arijit Patra; J. Alison Noble (CoRR, 2019)

Learn More, Forget Less: Cues from Human Brain. - Arijit Patra; Tapabrata Chakraborti (ACCV (4), 2020)

Hierarchical Class Incremental Learning of Anatomical Structures in Fetal Echocardiography Videos. - Arijit Patra; Julia Alison Noble (IEEE J. Biomed. Health Informatics, 2020)

Multimodal Continual Learning with Sonographer Eye-Tracking in Fetal Ultrasound. - Arijit Patra; Yifan Cai; Pierre Chatelain; Harshita Sharma; Lior Drukker; Aris T. Papageorghiou; J. Alison Noble (ASMUS@MICCAI, 2021)

Parallel Capsule Networks for Classification of White Blood Cells. - Juan P. Vigueras-Guillén; Arijit Patra; Ola Engkvist; Frank Seeliger (MICCAI (7), 2021)

Towards Fully Automated Segmentation of Rat Cardiac MRI by Leveraging Deep Learning Frameworks. - Daniel Fernandez-Llaneza; Andrea Gondova; Harris Vince; Arijit Patra; Magdalena Zurek; Peter Konings; Patrik Kagelid; Leif Hultin (CoRR, 2021)

Stochastic comparisons and ageing properties of residual lifetime mixture models. - Arijit Patra; Chanchal Kundu (Math. Methods Oper. Res., 2021)

Improving Generative Modelling in VAEs Using Multimodal Prior. - Vinayak Abrol; Pulkit Sharma; Arijit Patra (IEEE Trans. Multim., 2021)

Real Time Data Augmentation Using Fractional Linear Transformations in Continual Learning. - Arijit Patra (MILLanD@MICCAI, 2022)

Incremental Augmentation Strategies for Personalised Continual Learning in Digital Pathology Contexts. - Arijit Patra (AMAI@MICCAI, 2024)

Retrieving and Refining: A Hybrid Framework with Large Language Models for Rare Disease Identification. - Jinge Wu; Hang Dong 002; Zexi Li; Arijit Patra; Honghan Wu (CoRR, 2024)

A hybrid framework with large language models for rare disease phenotyping. - Jinge Wu; Hang Dong 002; Zexi Li; Haowei Wang; Runci Li; Arijit Patra; Chengliang Dai; Waqar Ali; Phil Scordis; Honghan Wu (BMC Medical Informatics Decis. Mak., 2024)

Towards exploring continual learning for toxicologic pathology in pharmaceutical drug discovery. - Arijit Patra; Jinge Wu; Honghan Wu; Anshul Thakur (CVPR Workshops, 2025)

Attention Aware Continual Learning in Digital Pathology Contexts. - Arijit Patra; Tapabrata Chakraborti (ISBI, 2025)

Attentive Latent Replay for Continual Learning in Pathology. - Arijit Patra; Jinge Wu; Vaanathi Sundaresan; Honghan Wu; Phil Scordis (ISBI, 2025)