Differentiable Microscopy Designs an All Optical Quantitative Phase Microscope. - Kithmini Herath; Udith Haputhanthri; Ramith Hettiarachchi; Hasindu Kariyawasam; Azeem Ahmad; Balpreet S. Ahluwalia; Chamira U. S. Edussooriya; Dushan Wadduwage (CoRR, 2022)

Differentiable Microscopy for Content and Task Aware Compressive Fluorescence Imaging. - Udith Haputhanthri; Andrew Seeber; Dushan Wadduwage (CoRR, 2022)

From Hours to Seconds: Towards 100x Faster Quantitative Phase Imaging via Differentiable Microscopy. - Udith Haputhanthri; Kithmini Herath; Ramith Hettiarachchi; Hasindu Kariyawasam; Azeem Ahmad; Balpreet S. Ahluwalia; Chamira U. S. Edussooriya; Dushan N. Wadduwage (CoRR, 2022)

Deep Optical Coding Design in Computational Imaging. - Henry Arguello; Jorge Bacca; Hasindu Kariyawasam; Edwin Vargas; Miguel Marquez; Ramith Hettiarachchi; Hans Garcia; Kithmini Herath; Udith Haputhanthri; Balpreet Singh Ahluwalia; Peter T. C. So; Dushan N. Wadduwage; et al. (CoRR, 2022)

DEEP2: Deep Learning Powered De-scattering with Excitation Patterning. - Navodini Wijethilake; Mithunjha Anandakumar; Cheng Zheng 007; Peter T. C. So; Murat Yildirim; Dushan N. Wadduwage (CoRR, 2022)

MOSAIC: Masked Optimisation with Selective Attention for Image Reconstruction. - Pamuditha Somarathne; Tharindu Wickremasinghe; Amashi Niwarthana; Arulmolivarman Thieshanthan; Chamira U. S. Edussooriya; Dushan N. Wadduwage (CoRR, 2023)

Contrastive Deep Encoding Enables Uncertainty-aware Machine-learning-assisted Histopathology. - Nirhoshan Sivaroopan; Chamuditha Jayanga; Chalani Ekanayake; Hasindri Watawana; Jathurshan Pradeepkumar; Mithunjha Anandakumar; Ranga Rodrigo; Chamira U. S. Edussooriya; Dushan N. Wadduwage (CoRR, 2023)

QuATON: Quantization Aware Training of Optical Neurons. - Hasindu Kariyawasam; Ramith Hettiarachchi; Dushan Wadduwage (CoRR, 2023)

Deep Optical Coding Design in Computational Imaging: A data-driven framework. - Henry Arguello; Jorge Bacca; Hasindu Kariyawasam; Edwin Vargas; Miguel Marquez; Ramith Hettiarachchi; Hans Garcia; Kithmini Herath; Udith Haputhanthri; Balpreet Singh Ahluwalia; Peter T. C. So; Dushan N. Wadduwage; et al. (IEEE Signal Process. Mag., 2023)

Hypothesis-Driven Deep Learning for Out of Distribution Detection. - Yasith Jayawardana; Azeem Ahmad; Balpreet S. Ahluwalia; Rafi Ahmad; Sampath Jayarathna; Dushan N. Wadduwage (CoRR, 2024)

Uncertainty Awareness Enables Efficient Labeling for Cancer Subtyping in Digital Pathology. - Nirhoshan Sivaroopan; Chamuditha Jayanga Galappaththige; Chalani Ekanayake; Hasindri Watawana; Ranga Rodrigo; Chamira U. S. Edussooriya; Dushan N. Wadduwage (WACV, 2025)