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B. Baheti · SciRah

Researcher profile · Semantic Scholar

B. Baheti

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B. Baheti — researcher profile on SciRah

h-index: 15
Works: 58
Citations: 1,496

Most-cited papers

Eff-UNet: A Novel Architecture for Semantic Segmentation in Unstructured Environment
B. Baheti, S. Innani, S. Gajre, S. Talbar
20202020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)242 citations
Semantic Scholar
MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge
Ruchika Verma, Neeraj Kumar, Abhijeet Patil, N. Kurian +54 more
2021IEEE Transactions on Medical Imaging235 citations Open access
Semantic Scholar
The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights.
P. Whybra, A. Zwanenburg, V. Andrearczyk, Roger Schaer +42 more
2024Radiology230 citations Open access
Semantic Scholar
Detection of Distracted Driver Using Convolutional Neural Network
B. Baheti, S. Gajre, S. Talbar
20182018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)147 citations
Semantic Scholar
Semantic scene segmentation in unstructured environment with modified DeepLabV3+
B. Baheti, S. Innani, S. Gajre, S. Talbar
2020Pattern Recognition Letters119 citations
Semantic Scholar
Towards Computationally Efficient and Realtime Distracted Driver Detection With MobileVGG Network
B. Baheti, S. Talbar, S. Gajre
2020IEEE Transactions on Intelligent Vehicles92 citations
Semantic Scholar
The Brain Tumor Sequence Registration (BraTS-Reg) Challenge: Establishing Correspondence Between Pre-Operative and Follow-up MRI Scans of Diffuse Glioma Patients
B. Baheti, Satrajit Chakrabarty, H. Akbari, M. Bilello +69 more
202174 citations
Semantic Scholar
GaNDLF: the generally nuanced deep learning framework for scalable end-to-end clinical workflows
Sarthak Pati, Siddhesh P. Thakur, I. E. Hamamci, U. Baid +38 more
2021Communications Engineer62 citations Open access
Semantic Scholar
Generative adversarial networks based skin lesion segmentation
S. Innani, Prasad Dutande, U. Baid, Venu Pokuri +4 more
2023Scientific Reports35 citations Open access
Semantic Scholar
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge
M. Zenk, U. Baid, Sarthak Pati, Akis Linardos +343 more
2025Nature Communications29 citations Open access
Semantic Scholar
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge
H. Li, Fernando Navarro, I. Ezhov, Amirhossein Bayat +76 more
2024arXiv.org27 citations
Semantic Scholar
The 1st Agriculture-Vision Challenge: Methods and Results
Mang-Tik Chiu, Xingqian Xu, Kai Wang, Jennifer Hobbs +38 more
20202020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)27 citations Open access
Semantic Scholar
Semantic Scene Understanding in Unstructured Environment with Deep Convolutional Neural Network
B. Baheti, S. Gajre, S. Talbar
2019IEEE Region 10 Conference20 citations
Semantic Scholar
Detection of Pathological Myopia and Optic Disc Segmentation with Deep Convolutional Neural Networks
U. Baid, B. Baheti, Prasad Dutande, S. Talbar
2019IEEE Region 10 Conference19 citations
Semantic Scholar
Prognostic stratification of glioblastoma patients by unsupervised clustering of morphology patterns on whole slide images furthering our disease understanding
B. Baheti, S. Innani, M. Nasrallah, S. Bakas
2024Frontiers in Neuroscience16 citations Open access
Semantic Scholar
An approach to automatic object tracking system by combination of SIFT and RANSAC with mean shift and KLT
B. Baheti, U. Baid, S. Talbar
20162016 Conference on Advances in Signal Processing (CASP)13 citations
Semantic Scholar
Deep Learning based Novel Cascaded Approach for Skin Lesion Analysis
S. Innani, Prasad Dutande, B. Baheti, U. Baid +1 more
2023International Conference on Computer Vision and Image Processing12 citations Open access
Semantic Scholar
Leveraging 2D Deep Learning ImageNet-trained models for Native 3D Medical Image Analysis
B. Baheti, Sarthak Pati, Bjoern H Menze, S. Bakas
2023BrainLes@MICCAI11 citations Open access
Semantic Scholar
BraTS-Path Challenge: Assessing Heterogeneous Histopathologic Brain Tumor Sub-regions
S. Bakas, Siddhesh P. Thakur, S. Faghani, Mana Moassefi +18 more
2024arXiv.org7 citations
Semantic Scholar
Fuse-PN: A Novel Architecture for Anomaly Pattern Segmentation in Aerial Agricultural Images
S. Innani, Prasad Dutande, B. Baheti, S. Talbar +1 more
20212021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)7 citations
Semantic Scholar
A novel approach for Automatic Image Stitching of spinal cord MRI images using SIFT
B. Baheti, U. Baid, S. Talbar
20152015 International Conference on Pervasive Computing (ICPC)7 citations
Semantic Scholar
Interpretable artificial intelligence based determination of glioma IDH mutation status directly from histology slides
S. Innani, W. Bell, Hannah Harmsen, M. Nasrallah +2 more
2025Neuro-Oncology Advances6 citations Open access
Semantic Scholar
Multimodal Explainable Artificial Intelligence for Prognostic Stratification of Glioblastoma Patients
B. Baheti, Sunny Rai, S. Innani, G. Mehdiratta +4 more
2025Modern Pathology6 citations Open access
Semantic Scholar
AI-driven WHO 2021 classification of gliomas based only on H&E-stained slides.
S. Innani, W. Bell, M. Nasrallah, B. Baheti +1 more
2025Neuro-Oncology5 citations Open access
Semantic Scholar
Weakly Supervised IDH-Status Glioma Classification from H&E-Stained Whole Slide Images
S. Innani, B. Baheti, M. Nasrallah, S. Bakas
2024IEEE International Symposium on Biomedical Imaging5 citations
Semantic Scholar
OS03.6.A UNSUPERVISED CLUSTERING OF MORPHOLOGY PATTERNS ON WHOLE SLIDE IMAGES GUIDE PROGNOSTIC STRATIFICATION OF GLIOBLASTOMA PATIENTS
B. Baheti, S. Innani, M. Nasrallah, S. Bakas
2023Neuro-Oncology5 citations
Semantic Scholar
P13.13.B INTERPRETABLE WHOLE SLIDE IMAGE PROGNOSTIC STRATIFICATION OF GLIOBLASTOMA PATIENTS FURTHERING DISEASE UNDERSTANDING
B. Baheti, S. Innani, G. Mehdiratta, M. Nasrallah +1 more
2023Neuro-Oncology5 citations
Semantic Scholar
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging
Sarthak Pati, Siddhesh P. Thakur, M. Bhalerao, U. Baid +14 more
2021arXiv.org5 citations
Semantic Scholar
Detecting Histologic&Clinical Glioblastoma Patterns of Prognostic Relevance
B. Baheti, Sunny Rai, S. Innani, G. Mehdiratta +3 more
20234 citations
Semantic Scholar
Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 Challenge
Asbjørn Munk, Stefano Cerri, V. Nersesjan, C. H. Krag +80 more
2026arXiv.org3 citations
Semantic Scholar
TMIC-60. BRATS-PATH: ASSESSING HETEROGENEOUS HISTOPATHOLOGIC REGIONS IN GLIOBLASTOMA
Siddhesh P. Thakur, S. Faghani, Mana Moassefi, U. Baid +18 more
2024Neuro-Oncology3 citations Open access
Semantic Scholar
Framing image registration as a landmark detection problem for better representation of clinical relevance
Diana Waldmannstetter, Benedikt Wiestler, J. Schwarting, I. Ezhov +9 more
2023arXiv.org3 citations Open access
Semantic Scholar
NIMG-25. OPTIMIZATION OF ARTIFICIAL INTELLIGENCE ALGORITHMS FOR LOW-RESOURCE/CLINICAL ENVIRONMENTS: FOCUS ON CLINICALLY-RELEVANT GLIOMA REGION DELINEATION
B. Baheti, Siddhesh P. Thakur, Sarthak Pati, Deepthi Karkada +6 more
2022Neuro-Oncology3 citations Open access
Semantic Scholar
EPCO-31. AI-BASED PROGNOSTIC STRATIFICATION OF GLIOBLASTOMA USING H&E-STAINED WHOLE SLIDE IMAGES
B. Baheti, M. Nasrallah, S. Bakas
2022Neuro-Oncology3 citations Open access
Semantic Scholar
A Training-Free Approach for Generic Object Detection
B. Baheti, S. Talbar, S. Gajre
2019Journal of the Institution of Electronics and Telecommunication Engineers3 citations
Semantic Scholar
Artificial Intelligence-Based Classification of Renal Oncocytic Neoplasms: Advancing From a 2-Class Model of Renal Oncocytoma and Low-Grade Oncocytic Tumor to a 3-Class Model Including Chromophobe Renal Cell Carcinoma.
Katrina Collins, S. Innani, Kingsley Ebare, Mohammed Saad +11 more
2025Archives of Pathology & Laboratory Medicine2 citations Open access
Semantic Scholar
Biochemical Prostate Cancer Recurrence Prediction: Thinking Fast & Slow
Suhang You, Sanyukta Adap, Siddhesh P. Thakur, B. Baheti +1 more
2024arXiv.org2 citations
Semantic Scholar
Multi-scale Whole Slide Image Assessment Improves Deep Learning based WHO 2021 Glioma Classification
S. Innani, M. Nasrallah, W. Bell, B. Baheti +1 more
2024COMPAY@MICCAI2 citations
Semantic Scholar
Pose Estimation for Distracted Driver Detection Using Deep Convolutional Neural Networks
Siddhesh P. Thakur, B. Baheti, S. Gajre, S. Talbar
2018Communications in Computer and Information Science2 citations
Semantic Scholar
A Local Self-Similarity-Based Vehicle Detection Approach Using Single Query Image
B. Baheti, K. Kutty, S. Gajre, S. Talbar
2017International Conference on Computer Vision and Image Processing2 citations
Semantic Scholar
IMG-121. BraTS-Pathology 2024: Insights and Future Directions Informed by the AI-RANO & RANO-RGP Effort to Assess Glioblastoma Heterogeneity
Siddhesh P. Thakur, S. Malec, Carla Pitarc, Akis Linardos +33 more
2025Neuro-Oncology1 citations Open access
Semantic Scholar
PATH-67. AI-based WHO 2021 classification of adult-type diffuse glioma solely from H&E-stained slides
S. Innani, W. Bell, M. Nasrallah, B. Baheti +1 more
2025Neuro-Oncology1 citations Open access
Semantic Scholar
PATH-39. AI-BASED IDENTIFICATION OF GLIOMA IDH MUTATIONAL STATUS FROM H&E-STAINED WHOLE SLIDE IMAGES
S. Innani, B. Baheti, M. Nasrallah, W. Bell +1 more
2024Neuro-Oncology1 citations Open access
Semantic Scholar
Primitive Simultaneous Optimization of Similarity Metrics for Image Registration
Diana Waldmannstetter, Benedikt Wiestler, J. Schwarting, I. Ezhov +10 more
2023BrainLes/SWITCH@MICCAI1 citations Open access
Semantic Scholar
Detecting Histologic Glioblastoma Regions of Prognostic Relevance
B. Baheti, S. Innani, G. Mehdiratta, M. Nasrallah +1 more
2023arXiv.org1 citations Open access
Semantic Scholar
EPCO-15. DETECTING HISTOLOGIC & CLINICAL GLIOBLASTOMA PATTERNS OF PROGNOSTIC RELEVANCE
B. Baheti, Sunny Rai, S. Innani, G. Mehdiratta +3 more
2023Neuro-Oncology1 citations Open access
Semantic Scholar
Benchmarking Vision-Language Models for Automated Pathology Diagnosis and Report Generation
Yu-Mi Lee, Harim Oh, Hyo-yun Kim, Minji Kim +51 more
20260 citations
Semantic Scholar
Explainable Artificial Intelligence (XAI) in Computational Pathology: Definitions, Taxonomy, and Recommendations
S. Innani, Suhang You, A. Shephard, B. Baheti +12 more
20260 citations
Semantic Scholar
Integrated AI-informed morphologic and spatial transcriptomics features from H&E slides to enable risk stratification of primary melanoma patients.
B. Baheti, R. Anand, Amritpal Singh, Merin George +7 more
2026Journal of Clinical Oncology0 citations Open access
Semantic Scholar
IP08-23 RADIO-PATHOMIC FEATURES ASSOCIATED WITH RESPONSE TO NEOADJUVANT CABOZANTINIB IN LOCALLY ADVANCED RENAL CELL CARCINOMA
William Luke, Liping Li, Ahmet Yildirim, Gregory Palmateer +16 more
2026Journal of Urology0 citations
Semantic Scholar

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