10 citations · 26 across the 9 of their papers we have counts for
10 papers
Beyond the Monitor: Mixed Reality Visualization and Multimodal AI for Enhanced Digital Pathology Workflow
Jai Prakash Veerla, Partha Sai Guttikonda, Helen H. Shang +3
Pathologists diagnose cancer using gigapixel whole-slide images (WSIs), but the current digital workflow is fragmented. These multiscale datasets often exceed 100,000 x 100,000 pix…
Peptide Sequencing Via Protein Language Models
Thuong Le Hoai Pham, Jillur Rahman Saurav, Aisosa A. Omere +9
We introduce a protein language model for determining the complete sequence of a peptide based on measurement of a limited set of amino acids. To date, protein sequencing relies on…
Real-Time Diagnostic Integrity Meets Efficiency: A Novel Platform-Agnostic Architecture for Physiological Signal Compression
Neel R Vora, Amir Hajighasemi, Cody T. Reynolds +16
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 disorde…
SpatialVisVR: An Immersive, Multiplexed Medical Image Viewer With Contextual Similar-Patient Search
Jai Prakash Veerla, Partha Sai Guttikonda, Amir Hajighasemi +7
In contemporary pathology, multiplexed immunofluorescence (mIF) and multiplex immunohistochemistry (mIHC) present both significant opportunities and challenges. These methodologies…
The State of Applying Artificial Intelligence to Tissue Imaging for Cancer Research and Early Detection
Michael Robben, Amir Hajighasemi, Mohammad Sadegh Nasr +9
Artificial intelligence represents a new frontier in human medicine that could save more lives and reduce the costs, thereby increasing accessibility. As a consequence, the rate of…
Multimodal Pathology Image Search Between H&E Slides and Multiplexed Immunofluorescent Images
Amir Hajighasemi, MD Jillur Rahman Saurav, Mohammad S Nasr +6
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…
Histopathology Slide Indexing and Search: Are We There Yet?
Helen H. Shang, Mohammad Sadegh Nasr, Jai Prakash Veerla +7
The search and retrieval of digital histopathology slides is an important task that has yet to be solved. In this case study, we investigate the clinical readiness of three state-o…
Generalizability of PRS313 for breast cancer risk amongst non-Europeans in a Los Angeles biobank
Helen Shang, Yi Ding, Vidhya Venkateswaran +5
Polygenic risk scores (PRS) summarize the combined effect of common risk variants and are associated with breast cancer risk in patients without identifiable monogenic risk factors…
Clinically Relevant Latent Space Embedding of Cancer Histopathology Slides through Variational Autoencoder Based Image Compression
Mohammad Sadegh Nasr, Amir Hajighasemi, Paul Koomey +6
In this paper, we introduce a Variational Autoencoder (VAE) based training approach that can compress and decompress cancer pathology slides at a compression ratio of 1:512, which…
A SSIM Guided cGAN Architecture For Clinically Driven Generative Image Synthesis of Multiplexed Spatial Proteomics Channels
Jillur Rahman Saurav, Mohammad Sadegh Nasr, Paul Koomey +7
Here we present a structural similarity index measure (SSIM) guided conditional Generative Adversarial Network (cGAN) that generatively performs image-to-image (i2i) synthesis to g…