1 code implementation • 4 Jan 2024 • Poojitha Thota, Jai Prakash Veerla, Partha Sai Guttikonda, Mohammad S. Nasr, Shirin Nilizadeh, Jacob M. Luber
In the context of medical artificial intelligence, this study explores the vulnerabilities of the Pathology Language-Image Pretraining (PLIP) model, a Vision Language Foundation model, under targeted attacks.
no code implementations • 4 Jan 2024 • Parisa Boodaghi Malidarreh, Biraaj Rout, Mohammad Sadegh Nasr, Priyanshi Borad, Jillur Rahman Saurav, Jai Prakash Veerla, Kelli Fenelon, Theodora Koromila, Jacob M. Luber
In this paper, we introduce a pipeline based on Random Forest Regression to predict the future distribution of cells that are expressed by the Sog-D gene (active cells) in both the Anterior to posterior (AP) and the Dorsal to Ventral (DV) axis of the Drosophila in embryogenesis process.
no code implementations • 19 Dec 2023 • Neel R Vora, Amir Hajighasemi, Cody T. Reynolds, Amirmohammad Radmehr, Mohamed Mohamed, Jillur Rahman Saurav, Abdul Aziz, Jai Prakash Veerla, Mohammad S Nasr, Hayden Lotspeich, Partha Sai Guttikonda, Thuong Pham, Aarti Darji, Parisa Boodaghi Malidarreh, Helen H Shang, Jay Harvey, Kan Ding, Phuc Nguyen, Jacob M Luber
Head-based signals such as EEG, EMG, EOG, and ECG collected by wearable systems will play a pivotal role in clinical diagnosis, monitoring, and treatment of important brain disorder diseases.
no code implementations • 2 Jul 2023 • Jai Prakash Veerla, Jillur Rahman Saurav, Michael Robben, Jacob M Luber
In this study, we analyze discordance between the transcriptome and proteome using paired scRNA-Seq and multiplexed spatial proteomics data from HuBMAP.
2 code implementations • 29 Jun 2023 • Helen H. Shang, Mohammad Sadegh Nasr, Jai Prakash Veerla, Parisa Boodaghi Malidarreh, MD Jillur Rahman Saurav, Amir Hajighasemi, Manfred Huber, Chace Moleta, Jitin Makker, Jacob M. Luber
The search and retrieval of digital histopathology slides is an important task that has yet to be solved.
no code implementations • 11 Jun 2023 • Amir Hajighasemi, MD Jillur Rahman Saurav, Mohammad S Nasr, Jai Prakash Veerla, Aarti Darji, Parisa Boodaghi Malidarreh, Michael Robben, Helen H Shang, Jacob M Luber
We present an approach for multimodal pathology image search, using dynamic time warping (DTW) on Variational Autoencoder (VAE) latent space that is fed into a ranked choice voting scheme to retrieve multiplexed immunofluorescent imaging (mIF) that is most similar to a query H&E slide.