8 citations · 28 across the 9 of their papers we have counts for
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eess.IV2023
VOLTA: an Environment-Aware Contrastive Cell Representation Learning for Histopathology
Ramin Nakhli, Allen Zhang, Hossein Farahani +8
In clinical practice, many diagnosis tasks rely on the identification of cells in histopathology images. While supervised machine learning techniques require labels, providing manu…
cs.CV2023★ 2 cited
AMIGO: Sparse Multi-Modal Graph Transformer with Shared-Context Processing for Representation Learning of Giga-pixel Images
Ramin Nakhli, Puria Azadi Moghadam, Haoyang Mi +4
Processing giga-pixel whole slide histopathology images (WSI) is a computationally expensive task. Multiple instance learning (MIL) has become the conventional approach to process…