S. Chakra Chennubhotla
University of Pittsburgh
H-index: 30
North America-United States
Top articles of S. Chakra Chennubhotla
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Predicting cancer recurrence from spatial multi-parameter cellular and subcellular imaging data | 2024/2/22 | ||
Segmentation-free analysis of multiplexed images with unbiased spatial analytics and explainable AI for predicting disease outcomes | Cancer Research | Filippo Pullara Brian Falkenstein Bruce Campbell Samantha Panakkal Akif Burak Tosun | 2023/4/4 |
Scalable and high precision context-guided segmentation of histological structures including ducts/glands and lumen, cluster of ducts/glands, and individual nuclei in whole … | 2023/3/30 | ||
Abstract P6-04-12: Differential diagnoses of breast biopsies by spatial parametric modeling of histological structures and explainable AI | Cancer Research | Akif Burak Tosun S Chakra Chennubhotla | 2023/3/1 |
# COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol | The international journal of high performance computing applications | Abigail Dommer Lorenzo Casalino Fiona Kearns Mia Rosenfeld Nicholas Wauer | 2023/1 |
Explainable AI (xAI) platform for computational pathology | 2023/12/12 | ||
Parametric Modeling and Inference of Diagnostically Relevant Histological Patterns in Digitized Tissue Images | 2023/8/17 | ||
Systems and methods for finding regions of interest in hematoxylin and eosin (h&e) stained tissue images and quantifying intratumor cellular spatial heterogeneity in … | 2022/10/13 | ||
System and method for characterizing cellular phenotypic diversity from multi-parameter cellular, and sub-cellular imaging data | 2022/7/7 | ||
Systems and methods for finding regions of in interest in hematoxylin and eosin (HandE) stained tissue images and quantifying intratumor cellular spatial heterogeneity in … | 2022/7/5 | ||
TumorMapr™ analytical software platform: Unbiased spatial analytics and explainable AI (xAI) platform for generating data, extracting information, and creating knowledge from … | Cancer Research | Samantha Panakkal Brian Falkenstein Akif Burak Tosun Bruce Campbell Michael Becich | 2022/6/15 |
Computational systems pathology spatial analysis platform for in situ or in vitro multi-parameter cellular and subcellular imaging data | 2022/2/10 | ||
Intelligent resolution: Integrating Cryo-EM with AI-driven multi-resolution simulations to observe the severe acute respiratory syndrome coronavirus-2 replication-transcription … | The International Journal of High Performance Computing Applications | Anda Trifan Defne Gorgun Michael Salim Zongyi Li Alexander Brace | 2022/11 |
Spatially co-registered genomic and imaging (scorgi) data elements for fingerprinting microdomains | 2021/12/9 | ||
Classification of Diffuse Subcellular Morphologies. | Neelima Pulagam Marcus Hill Mojtaba Sedigh Fazli Rachel Mattson Meekail Zain | 2021 | |
High-throughput virtual screening and validation of a SARS-CoV-2 main protease noncovalent inhibitor | Journal of chemical information and modeling | Austin Clyde Stephanie Galanie Daniel W Kneller Heng Ma Yadu Babuji | 2021/11/18 |
In situ functional cell phenotyping reveals microdomain networks in colorectal cancer recurrence | Cell reports methods | Samantha A Furman Andrew M Stern Shikhar Uttam D Lansing Taylor Filippo Pullara | 2021/9/27 |
1 Unsupervised cellular phenotypic hierarchy enables spatial intratumor heterogeneity characterization, recurrence-associated microdomains discovery, and harnesses network … | Cancer Research | Samantha Furman Andrew Stern Shikhar Uttam Taylor D Lansing Pullara Filippo | 2021/7/1 |
Artificial intelligence techniques for integrative structural biology of intrinsically disordered proteins | Arvind Ramanathan Heng Ma Akash Parvatikar S Chakra Chennubhotla | 2021/2/1 | |
Prototypical models for classifying high-risk atypical breast lesions | Akash Parvatikar Om Choudhary Arvind Ramanathan Rebekah Jenkins Olga Navolotskaia | 2021 |
