Multi stain graph fusion for multimodal integration in pathology

no code implementations • 26 Apr 2022 • Chaitanya Dwivedi, Shima Nofallah, Maryam Pouryahya, Janani Iyer, Kenneth Leidal, Chuhan Chung, Timothy Watkins, Andrew Billin, Robert Myers, John Abel, Ali Behrooz

In pathology, tissue samples are assessed using multiple staining techniques to enhance contrast in unique histologic features.

Probabilistic Neighbourhood Component Analysis: Sample Efficient Uncertainty Estimation in Deep Learning

1 code implementation • 18 Jul 2020 • Ankur Mallick, Chaitanya Dwivedi, Bhavya Kailkhura, Gauri Joshi, T. Yong-Jin Han

In this work, we show that the uncertainty estimation capability of state-of-the-art BNNs and Deep Ensemble models degrades significantly when the amount of training data is small.

COVID-19 Diagnosis Uncertainty Quantification

Deep Kernels with Probabilistic Embeddings for Small-Data Learning

1 code implementation • 13 Oct 2019 • Ankur Mallick, Chaitanya Dwivedi, Bhavya Kailkhura, Gauri Joshi, T. Yong-Jin Han

Experiments on a variety of datasets show that our approach outperforms the state-of-the-art in GP kernel learning in both supervised and semi-supervised settings.

Gaussian Processes Representation Learning +1