Cloud Computing Deployment and Selection Criteria for Organizations. - Mahsa Paknezhad; Manijeh Keshtgary (Int. J. Cloud Appl. Comput., 2013)

Basal Slice Detection Using Long-Axis Segmentation for Cardiac Analysis. - Mahsa Paknezhad; Michael S. Brown; Stéphanie Marchesseau (MICCAI (3), 2016)

Automatic basal slice detection for cardiac analysis. - Mahsa Paknezhad; Stéphanie Marchesseau; Michael S. Brown (Image Processing, 2016)

Towards Leaning Aware Interaction with Multitouch Tabletops. - Khanh-Duy Le; Mahsa Paknezhad; Pawel W. Wozniak; Maryam Azh; Gabriele Kasparaviciute; Morten Fjeld; Shengdong Zhao 001; Michael S. Brown (NordiCHI, 2016)

Regional registration of whole slide image stacks containing major histological artifacts. - Mahsa Paknezhad; Sheng Yang Michael Loh; Yukti Choudhury; Valerie Koh Cui Koh; Timothy Tay Kwang Yong; Hui Shan Tan; Ravindran Kanesvaran; Puay Hoon Tan; John Yuen Shyi Peng; Weimiao Yu; Yongcheng Benjamin Tan; Yong Zhen Loy; et al. (BMC Bioinform., 2020)

Improved tagged cardiac MRI myocardium strain analysis by leveraging cine segmentation. - Mahsa Paknezhad; Michael S. Brown; Stéphanie Marchesseau (Comput. Methods Programs Biomed., 2020)

Regional Registration of Whole Slide Image Stacks Containing Highly Deformed Artefacts. - Mahsa Paknezhad; Sheng Yang Michael Loh; Yukti Choudhury; Valerie Koh Cui Koh; Timothy Tay Kwang Yong; Hui Shan Tan; Ravindran Kanesvaran; Puay Hoon Tan; John Yuen Shyi Peng; Weimiao Yu; Yongcheng Benjamin Tan; Yong Zhen Loy; et al. (CoRR, 2020)

PaRT: Parallel Learning Towards Robust and Transparent AI. - Mahsa Paknezhad; Hamsawardhini Rengarajan; Chenghao Yuan; Sujanya Suresh; Manas Gupta; Savitha Ramasamy; Hwee Kuan Lee (CoRR, 2022)

Explaining adversarial vulnerability with a data sparsity hypothesis. - Mahsa Paknezhad; Cuong Phuc Ngo; Amadeus Aristo Winarto; Alistair Cheong; Beh Chuen Yang; Jiayang Wu; Hwee Kuan Lee (Neurocomputing, 2022)

Improving transparency and representational generalizability through parallel continual learning. - Mahsa Paknezhad; Hamsawardhini Rengarajan; Chenghao Yuan; Sujanya Suresh; Manas Gupta; Savitha Ramasamy; Hwee Kuan Lee (Neural Networks, 2023)