Multi-level Dual-attention Based CNN for Macular Optical Coherence Tomography Classification (2019)
Journal Article
Mandal, B. (2019). Multi-level Dual-attention Based CNN for Macular Optical Coherence Tomography Classification. IEEE Signal Processing Letters, 1793-1797. https://doi.org/10.1109/LSP.2019.2949388

In this letter, we propose a multi-level dual-attention model to classify two common macular diseases, age-related macular degeneration (AMD) and diabetic macular edema (DME) from normal macular eye conditions using optical coherence tomography (OCT)... Read More about Multi-level Dual-attention Based CNN for Macular Optical Coherence Tomography Classification.

Cross-spectral Periocular Recognition: a Survey (2019)
Conference Proceeding
Behera, S., Mandal, B., & Puhan, N. (2019). Cross-spectral Periocular Recognition: a Survey. In Emerging Research in Electronics, Computer Science and Technology (731–741). https://doi.org/10.1007/978-981-13-5802-9_64

Among many biometrics such as face, iris, fingerprint and others, periocular region has the advantages over other biometrics because it is non-intrusive and serves as a balance between iris or eye region (very stringent, small area) and the whole fac... Read More about Cross-spectral Periocular Recognition: a Survey.

Deep Residual Network with Regularized Fisher Framework for Detection of Melanoma (2018)
Journal Article
Mandal, B. (2018). Deep Residual Network with Regularized Fisher Framework for Detection of Melanoma. IET Computer Vision, 1096-1104. https://doi.org/10.1049/iet-cvi.2018.5238

Of all the skin cancer that is prevalent, melanoma has the highest mortality rates. Melanoma becomes life threatening when it penetrates deep into the dermis layer unless detected at an early stage, it becomes fatal since it has a tendency to migrate... Read More about Deep Residual Network with Regularized Fisher Framework for Detection of Melanoma.