Activity Analysis Using Spatio-Temporal Trajectory Volumes in Surveillance Applications. - Firdaus Janoos; Shantanu Singh; M. Okan Irfanoglu; Raghu Machiraju; Richard E. Parent (IEEE VAST, 2007)

Microstructure preserving synthesis of biomedical images. - Shantanu Singh; Kishore Mosaliganti; Raghu Machiraju (ISBI, 2008)

Analysis of spatial variation of nuclear morphology in tissue microenvironments. - Shantanu Singh; Sundaresan Raman; Enrico Caserta; Gustavo Leone; Michael C. Ostrowski; Jens Rittscher; Raghu Machiraju (ISBI, 2010)

State-Space Models of Mental Processes from fMRI. - Firdaus Janoos; Shantanu Singh; Raghu Machiraju; William M. Wells III; István Ákos Mórocz (IPMI, 2011)

Identifying Nuclear Phenotypes Using Semi-supervised Metric Learning. - Shantanu Singh; Firdaus Janoos; Thierry Pécot; Enrico Caserta; Gustavo Leone; Jens Rittscher; Raghu Machiraju (IPMI, 2011)

Non-parametric Population Analysis of Cellular Phenotypes. - Shantanu Singh; Firdaus Janoos; Thierry Pécot; Enrico Caserta; Kun Huang 001; Jens Rittscher; Gustavo Leone; Raghu Machiraju (MICCAI (2), 2011)

Spatio-temporal models of mental processes from fMRI. - Firdaus Janoos; Raghu Machiraju; Shantanu Singh; István Ákos Mórocz (NeuroImage, 2011)

Non parametric cell nuclei segmentation based on a tracking over depth from 3D fluorescence confocal images. - Thierry Pécot; Shantanu Singh; Enrico Caserta; Kun Huang 001; Raghu Machiraju; Gustavo Leone (ISBI, 2012)

Who is repinning?: predicting a brand's user interactions using social media retrieval. - Shantanu Singh; Yan Wang; Lei Ding (MDMKDD, 2013)

CellProfiler Analyst: interactive data exploration, analysis and classification of large biological image sets. - David Dao; Adam Fraser; Jane Hung; Vebjorn Ljosa; Shantanu Singh; Anne E. Carpenter (Bioinform., 2016)

CP-CHARM: segmentation-free image classification made accessible. - Virginie Uhlmann; Shantanu Singh; Anne E. Carpenter (BMC Bioinform., 2016)

Weakly Supervised Learning of Single-Cell Feature Embeddings. - Juan C. Caicedo; Claire McQuin; Allen Goodman; Shantanu Singh; Anne E. Carpenter (CVPR, 2018)

Combining morphological and migration profiles of in vitro time-lapse data. - Tim Becker; Juan C. Caicedo; Shantanu Singh; Markus Weckmann; Anne E. Carpenter (ISBI, 2018)

Capturing Single-Cell Phenotypic Variation via Unsupervised Representation Learning. - Maxime W. Lafarge; Juan C. Caicedo; Anne E. Carpenter; Josien P. W. Pluim; Shantanu Singh; Mitko Veta (MIDL, 2019)

Smart Laptop Bag with Machine Learning for Activity Recognition. - Dwij Sukeshkumar Sheth; Shantanu Singh; Prakhar S. Mathur; Vydeki D (CoRR, 2019)

Capturing variations in nuclear phenotypes. - Sundaresan Raman; Shantanu Singh; Thierry Pécot; Enrico Caserta; Kun Huang 001; Jens Rittscher; Gustavo Leone; Raghu Machiraju (J. Comput. Sci., 2019)

Abstract nonlinear control systems. - Shantanu Singh; George Weiss; Marius Tucsnak (CDC, 2021)

Nonlinear perturbation of a class of conservative linear system. - Shantanu Singh; George Weiss (CDC, 2022)

IndoLayout: Leveraging Attention for Extended Indoor Layout Estimation from an RGB Image. - Shantanu Singh; Jaidev Shriram; Shaantanu Kulkarni; Brojeshwar Bhowmick; K. Madhava Krishna (IROS, 2022)

A class of incrementally scattering-passive nonlinear systems. - Shantanu Singh; George Weiss; Marius Tucsnak (Autom., 2022)

Predicting drug polypharmacology from cell morphology readouts using variational autoencoder latent space arithmetic. - Yuen Ler Chow; Shantanu Singh; Anne E. Carpenter; Gregory P. Way (PLoS Comput. Biol., 2022)

Incrementally passive infinite dimensional systems with a constrained state variable. - Shantanu Singh; Sébastien Fueyo; George Weiss (CDC, 2023)

MultiFacet: A Multi-Tasking Framework for Speech-to-Sign Language Generation. - Mounika Kanakanti; Shantanu Singh; Manish Shrivastava 001 (ICMI Companion, 2023)

Pseudo-Labeling Enhanced by Privileged Information and Its Application to In Situ Sequencing Images. - Marzieh Haghighi; Mario C. Cruz; Erin Weisbart; Beth A. Cimini; Avtar Singh; Julia Bauman; Maria E. Lozada; Sanam L. Kavari; James T. Neal; Paul C. Blainey; Anne E. Carpenter; Shantanu Singh (IJCAI, 2023)

Second Order Systems on Hilbert Spaces with Nonlinear Damping. - Shantanu Singh; George Weiss (SIAM J. Control. Optim., 2023)

MOTIVE: A Drug-Target Interaction Graph For Inductive Link Prediction. - John Arevalo; Ellen Su; Anne E. Carpenter; Shantanu Singh (NeurIPS, 2024)

Understanding Biology in the Age of Artificial Intelligence. - Elsa Lawrence; Adham El-Shazly; Srijit Seal; Chaitanya K. Joshi; Pietro Liò; Shantanu Singh; Andreas Bender 002; Pietro Sormanni; Matthew Greenig (CoRR, 2024)

MOTIVE: A Drug-Target Interaction Graph For Inductive Link Prediction. - John Arevalo; Ellen Su; Anne E. Carpenter; Shantanu Singh (CoRR, 2024)

Numerical and Lyapunov-Based Investigation of the Effect of Stenosis on Blood Transport Stability Using a Control-Theoretic PDE Model of Cardiovascular Flow. - Shantanu Singh; Nikolaos Bekiaris-Liberis (IEEE Control. Syst. Lett., 2024)

Capturing cell heterogeneity in representations of cell populations for image-based profiling using contrastive learning. - Robert van Dijk; John Arevalo; Mehrtash Babadi; Anne E. Carpenter; Shantanu Singh (PLoS Comput. Biol., 2024)

Insights into Drug Cardiotoxicity from Biological and Chemical Data: The First Public Classifiers for FDA Drug-Induced Cardiotoxicity Rank. - Srijit Seal; Ola Spjuth; Layla Hosseini-Gerami; Miguel García-Ortegón; Shantanu Singh; Andreas Bender 002; Anne E. Carpenter (J. Chem. Inf. Model., 2024)

Learning Molecular Representation in a Cell. - Gang Liu 025; Srijit Seal; John Arevalo; Zhenwen Liang; Anne E. Carpenter; Meng Jiang 001; Shantanu Singh (ICLR, 2025)

Projected incrementally scattering passive systems on closed convex sets. - Shantanu Singh; Sébastien Fueyo; George Weiss (Syst. Control. Lett., 2025)

The local representation of incrementally scattering passive nonlinear systems. - Shantanu Singh; George Weiss (Math. Control. Signals Syst., 2025)

cp_measure: API-first feature extraction for image-based profiling workflows. - Alán F. Muñoz; Tim Treis; Alexandr A. Kalinin; Shatavisha Dasgupta; Fabian J. Theis; Anne E. Carpenter; Shantanu Singh (CoRR, 2025)

Foreground-aware Virtual Staining for Accurate 3D Cell Morphological Profiling. - Alexandr A. Kalinin; Paula Llanos; Theresa Maria Sommer; Giovanni Sestini; Xinhai Hou; Jonathan Z. Sexton; Xiang Wan; Ivo D. Dinov; Brian D. Athey; Nicolas Rivron; Anne E. Carpenter; Beth A. Cimini; et al. (CoRR, 2025)