Jacob M. Luber

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 14

Top Topics

Clinically Relevant

Gaussian Process Latent Variable Models

Strengths And Weaknesses

Machine Learning

Top Venues

Publications

Jai Prakash Veerla, Partha Sai Guttikonda, Amir Hajighasemi, Jillur Rahman Saurav, Aarti Darji, Cody T. Reynolds, Mohamed Mohamed, Mohammad Sadegh Nasr, Helen H. Shang, Jacob M. Luber
SpatialVisVR: An Immersive, Multiplexed Medical Image Viewer With Contextual Similar-Patient Search. CoRR (2024)
Parisa Boodaghi Malidarreh, Biraaj Rout, Mohammad Sadegh Nasr, Priyanshi Borad, Jillur Rahman Saurav, Jai Prakash Veerla, Kelli Fenelon, Theodora Koromila, Jacob M. Luber
Predicting Future States with Spatial Point Processes in Single Molecule Resolution Spatial Transcriptomics. CoRR (2024)
Jai Prakash Veerla, Poojitha Thota, Partha Sai Guttikonda, Shirin Nilizadeh, Jacob M. Luber
Vulnerabilities Unveiled: Adversarially Attacking a Multimodal Vision Language Model for Pathology Imaging. CoRR (2024)
Michael Robben, Amir Hajighasemi, Mohammad Sadegh Nasr, Jai Prakash Veerla, Anne M. Alsup, Biraaj Rout, Helen H. Shang, Kelli Fowlds, Parisa Boodaghi Malidarreh, Paul Koomey, Jillur Rahman Saurav, Jacob M. Luber
The State of Applying Artificial Intelligence to Tissue Imaging for Cancer Research and Early Detection. CoRR (2023)
Neel R. Vora, Amir Hajighasemi, Cody T. Reynolds, Amirmohammad Radmehr, Mohamed Mohamed, Jillur Rahman Saurav, Abdul Aziz, Jai Prakash Veerla, Mohammad Sadegh 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
Real-Time Diagnostic Integrity Meets Efficiency: A Novel Platform-Agnostic Architecture for Physiological Signal Compression. CoRR (2023)
Mohammad Sadegh Nasr, Amir Hajighasemi, Paul Koomey, Parisa Boodaghi Malidarreh, Michael Robben, Jillur Rahman Saurav, Helen H. Shang, Manfred Huber, Jacob M. Luber
Clinically Relevant Latent Space Embedding of Cancer Histopathology Slides through Variational Autoencoder Based Image Compression. CoRR (2023)
Amir Hajighasemi, Md Jillur Rahman Saurav, Mohammad Sadegh Nasr, Jai Prakash Veerla, Aarti Darji, Parisa Boodaghi Malidarreh, Michael Robben, Helen H. Shang, Jacob M. Luber
Multimodal Pathology Image Search Between H&E Slides and Multiplexed Immunofluorescent Images. CoRR (2023)
Helen H. Shang, Mohammad Sadegh Nasr, Jai Prakash Veerla, Parisa Boodaghi Malidarreh, Jillur Rahman Saurav, Amir Hajighasemi, Manfred Huber, Chace Moleta, Jitin Makker, Jacob M. Luber
Histopathology Slide Indexing and Search: Are We There Yet? CoRR (2023)
Michael Robben, Mohammad Sadegh Nasr, Avishek Das, Jai Prakash Veerla, Manfred Huber, Justyn Jaworski, Jon Weidanz, Jacob M. Luber
Comparison of the Strengths and Weaknesses of Machine Learning Algorithms and Feature Selection on KEGG Database Microbial Gene Pathway Annotation and Its Effects on Reconstructed Network Topology. J. Comput. Biol. 30 (7) (2023)
Mohammad Sadegh Nasr, Amir Hajighasemi, Paul Koomey, Parisa Boodaghi Malidarreh, Michael Robben, Jillur Rahman Saurav, Helen H. Shang, Manfred Huber, Jacob M. Luber
Clinically Relevant Latent Space Embedding of Cancer Histopathology Slides Through Variational Autoencoder based Image Compression. ISBI (2023)
Jillur Rahman Saurav, Mohammad Sadegh Nasr, Helen H. Shang, Paul Koomey, Michael Robben, Manfred Huber, Jon Weidanz, Bríd Ryan, Eytan Ruppin, Peng Jiang, Jacob M. Luber
A SSIM Guided cGAN Architecture For Clinically Driven Generative Image Synthesis of Multiplexed Spatial Proteomics Channels. CIBCB (2023)
Jillur Rahman Saurav, Mohammad Sadegh Nasr, Paul Koomey, Michael Robben, Manfred Huber, Jon Weidanz, Bríd Ryan, Eytan Ruppin, Peng Jiang, Jacob M. Luber
A SSIM Guided cGAN Architecture For Clinically Driven Generative Image Synthesis of Multiplexed Spatial Proteomics Channels. CoRR (2022)
Alan Le Goallec, Braden T. Tierney, Jacob M. Luber, Evan M. Cofer, Aleksandar D. Kostic, Chirag J. Patel
A systematic machine learning and data type comparison yields metagenomic predictors of infant age, sex, breastfeeding, antibiotic usage, country of origin, and delivery type. PLoS Comput. Biol. 16 (5) (2020)
Jacob M. Luber, Braden T. Tierney, Evan M. Cofer, Chirag J. Patel, Aleksandar D. Kostic
Aether: leveraging linear programming for optimal cloud computing in genomics. Bioinform. 34 (9) (2018)