2 papers
cs.CV2025
Beyond the Encoder: Joint Encoder-Decoder Contrastive Pre-Training Improves Dense Prediction
Sébastien Quetin, Tapotosh Ghosh, Farhad Maleki
Contrastive learning methods in self-supervised settings have primarily focused on pre-training encoders, while decoders are typically introduced and trained separately for downstr…
eess.IV2024
RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models
Farhad Maleki, Linda Moy, Reza Forghani +14
Deep learning techniques hold immense promise for advancing medical image analysis, particularly in tasks like image segmentation, where precise annotation of regions or volumes of…