Research Output

Publications

Journal Publications

  • 2025 Shubham Innani, MacLean Nasrallah, W. Robert Bell, Bhakti Baheti*, Spyridon Bakas*, AI-driven WHO 2021 classification of gliomas based only on H&E-stained slides. Neuro-Oncology (2025): noaf189.
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  • 2025 Shubham Innani, MacLean Nasrallah, W. Robert Bell, Bhakti Baheti*, Spyridon Bakas*, Interpretable artificial intelligence based determination of glioma IDH mutation status directly from histology slides. Neuro-Oncology Advances 7.1 (2025): vdaf140.
  • 2025 Bhakti Baheti, Sunny Rai, Shubham Innani, Garv Mehdiratta, Sharath Chandra Guntuku, MacLean P. Nasrallah, and Spyridon Bakas, Multimodal Explainable AI for Prognostic Stratification of Glioblastoma Patients. Modern Pathology (2025): 100797.
  • 2025 Katrina Collins*, Shubham Innani*, et al., Artificial Intelligence–Based Classification of Renal Oncocytic Neoplasms. Archives of Pathology & Laboratory Medicine (2025). doi:10.5858/arpa.2024-0374-OA. (*contributed equally)
  • 2024 Bhakti Baheti, Shubham Innani, MacLean P. Nasrallah, and Spyridon Bakas, Prognostic stratification of glioblastoma patients by unsupervised clustering of morphology patterns on whole slide images. Frontiers in Neuroscience 18 (2024): 1304191.
  • 2023 Shubham Innani, Prasad Dutande, Ujjwal Baid, et al., Generative adversarial networks based skin lesion segmentation. Nature Scientific Reports 13, no. 1 (2023): 13467.
  • 2022 Fang H, et al., Shubham Innani et al., ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images. IEEE Transactions on Medical Imaging. doi:10.1109/TMI.2022.3172773.
  • 2020 Bhakti Baheti, Shubham Innani, Suhas Gajre, Sanjay Talbar, Semantic scene segmentation in unstructured environment with modified DeepLabV3+. Elsevier Pattern Recognition Letters, Vol. 138, 2020, pp. 223–229.

Conference Proceedings

  • 2024 Shubham Innani, MacLean Nasrallah, W. Robert Bell, Bhakti Baheti*, Spyridon Bakas*, Multi-scale Whole Slide Image Assessment Improves Deep Learning based WHO 2021 Glioma Classification. MICCAI Workshop on Computational Pathology with Multimodal Data (COMPAYL), 2024.
  • 2024 Shubham Innani, Bhakti Baheti, MacLean Nasrallah, Spyridon Bakas, Weakly supervised IDH-status glioma classification from H&E-stained whole slide images. 21st IEEE International Symposium on Biomedical Imaging (ISBI 2024), Athens, Greece.
  • 2022 Shubham Innani, Prasad Dutande, Bhakti Baheti, Ujjwal Baid and Sanjay Talbar, Deep Learning based Novel Cascaded Approach for Skin Lesion Analysis. 7th International Conference on Computer Vision & Image Processing (CVIP), Nagpur, India.
  • 2021 Bhakti Baheti, Shubham Innani, Suhas Gajre and Sanjay Talbar, Pedestrian Detection and Movement Direction Recognition with Convolutional Neural Network. 9th International Conference on Pattern Recognition and Machine Intelligence (PReMI).
  • 2021 Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay Talbar, and Ujjwal Baid, Fuse-PN: A Novel Architecture for Anomaly Pattern Segmentation in Aerial Agricultural Images. CVPR Workshops, pp. 2960–2968.
  • 2020 M. T. Chiu, et al., Shubham Innani, et al., The 1st Agriculture-Vision Challenge: Methods and Results. CVPR Workshops (CVPRW), 2020, pp. 212–218.
  • 2020 Bhakti Baheti*, Shubham Innani*, Suhas Gajre and Sanjay Talbar, Eff-UNet: A Novel Architecture for Semantic Segmentation in Unstructured Environment. CVPR Workshops (CVPRW), 2020, pp. 1473–1481. (*contributed equally)

Published Abstracts

  • 2025 Shubham Innani, W. Robert Bell, MacLean Nasrallah, Bhakti Baheti, Spyridon Bakas; Abstract 6247: Artificial intelligence predicts 2021 WHO glioma subtypes from whole slide images. Cancer Research 85 (8_Supplement_1): 6247. doi:10.1158/1538-7445.AM2025-6247.
  • 2024 Shubham Innani, Bhakti Baheti, MacLean P Nasrallah, W Robert Bell, Spyridon Bakas, PATH-39: AI-based identification of glioma IDH mutational status from H&E-stained whole slide images. Neuro-Oncology, Vol. 26, Suppl. 8, Nov. 2024, p. viii187.
  • 2024 Siddhesh Thakur, et al., Shubham Innani, et al., TMIC-60: BraTS-Path: assessing heterogeneous histopathologic regions in glioblastoma. Neuro-Oncology, Vol. 26, Suppl. 8, Nov. 2024, p. viii312.
  • 2023 Shubham Innani, Bhakti Baheti, MacLean P Nasrallah, Spyridon Bakas, Interpretable IDH classification from H&E-stained histology slides. Neuro-Oncology, Vol. 25, Suppl. 5, Nov. 2023, p. v177.
  • 2023 Bhakti Baheti, Sunny Rai, Shubham Innani, et al., Detecting Histologic & Clinical Glioblastoma Patterns of Prognostic Relevance. Neuro-Oncology, Vol. 25, Suppl. 5, Nov. 2023, p. v126.
  • 2023 Bhakti Baheti, Shubham Innani, et al., Interpretable whole slide image prognostic stratification of glioblastoma patients. Neuro-Oncology, Vol. 25, Suppl. 2, Sep. 2023, pp. ii103–ii104.
  • 2023 Bhakti Baheti, Shubham Innani, et al., Unsupervised clustering of morphology patterns on WSIs guide prognostic stratification. Neuro-Oncology, Vol. 25, Suppl. 2, Sep. 2023, p. ii15.

ArXiv Pre-prints

  • 2024 Spyridon Bakas, et al., Shubham Innani, et al., BraTS-Path Challenge: Assessing Heterogeneous Histopathologic Brain Tumor Sub-regions. arXiv:2405.10871 (2024).
  • 2024 Bran, Hongwei, et al., Shubham Innani, et al., QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. arXiv:2405.18435 (2024).
  • 2022 Fang H, et al., Shubham Innani and others, REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment. arXiv:2202.08994 (2022).