Published Works

  • Cazares, Tareian A., Faiz W. Rizvi, Balaji Iyer, Xiaoting Chen, Michael Kotliar, Anthony T. Bejjani, Joseph A. Wayman et al. "maxATAC: Genome-scale transcription-factor binding prediction from ATAC-seq with deep neural networks." PLOS Computational Biology 19, no. 1 (2023): e1010863.

  • Li, Guangyuan, Balaji Iyer, VB Surya Prasath, Yizhao Ni, and Nathan Salomonis. "DeepImmuno: deep learning-empowered prediction and generation of immunogenic peptides for T-cell immunity." Briefings in bioinformatics 22, no. 6 (2021): bbab160

  • Gundawar, Atharva, Srishti Lodha, V. Vijayarajan, Balaji Iyer, and VB Surya Prasath. "On the Performance of new Higher Order Transformation Functions for Highly Efficient Dense Layers." Neural Processing Letters 55, no. 8 (2023): 10655-10668

  • Gaddis, Nathan, Joshua Fortriede, ..., Balaji Iyer, ..., Bruce J. Aronow, and Nathan Salomonis. "LungMAP portal ecosystem: systems-level exploration of the lung." American journal of respiratory cell and molecular biology 70, no. 2 (2024): 129-139.

  • G. Sumi, Balaji Iyer, et.al. "Gait analysis for cerebral palsy using memory-augmented auto-encoder model." *11th International Conference on Informatics, Electronics & Vision (ICIEV), Proc. IEEE.* (Excellent Paper Award)

Under Review

  • Balaji Iyer, Brady Williamson, Bruce Aronow, VB Surya Prasath and Achala Vagal. "Reimagining Interpretability in Segmentation: A Multi-Scale Coherence Framework." (Under review at MICCAI 2025)

  • Balaji Iyer, Smruti Deoghare, Krish Ranjan, Bruce Aronow, VB Surya Prasath. "Benchmarking HEp 2 cell segmentation methods in indirect immunofluorescence images." (Under review at Computers in Biology and Medicine)

In Preparation

  • Mohanasundaram B., Li M., Iyer B., Trong R., and Pandey S. "A computational framework for moss leaf cell quantification and 3D modeling."

  • Balaji Iyer, et.al. "NeuroGleam: Illuminating Small Vessel Disease Detection through Deep Learning based Segmentation of Brain MRI White Matter Hyperintensities."

  • Balaji Iyer, et.al. "ConIFSeg - Confocal immunofluorescence image segmentation with deep learning for discerning developing lung structures."

  • Balaji Iyer, et.al. Book chapter: “Application of Multimodal Deep Learning in Medicine”

  • Smruti Deoghare, Balaji Iyer,... et.al. "PICCLineNet: Detecting peripherally inserted central catheter (PICC) lines and tip malpositioning in neonate X-ray images using artificial intelligence (AI) models"

  • Balaji Iyer, et.al. "Predicting ICH patient outcome from brain CT scans using an ensemble deep learning framework"