Specialized Convolutional Neural Network Architecture in Brain Tumor Diagnosis

Authors: Nechifor, Ionut-Sebastian, Lupascu, Codrin-Alexandru

Source: 2025 29th International Conference on System Theory, Control and Computing (ICSTCC) System Theory, Control and Computing (ICSTCC), 2025 29th International Conference on. :306-311 Oct, 2025

Relation: 2025 29th International Conference on System Theory, Control and Computing (ICSTCC)

Two-Step Approach for Brain Tumor Classification using Deep Learning Technique

Authors: R, Vinoth, B, Judy Flavia, Deshpande, Aditya Rajesh, S, Jayakrishna, Shankar, S Uday

Source: 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), 2025 IEEE International Conference on. 3:1-6 Mar, 2025

Relation: 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)

Adaptive channel attention and multi-path convolutional architecture for brain tumor detection using MRI images

Authors: Khan, Muneeb A., Park, Heemin^{Aff1, IDs11042025209111_cor1}

Source: Multimedia Tools and Applications: An International Journal. 84(35):44515-44542

Self-supervised Pretraining and Multi-label Decoding for Intracranial Hemorrhage Segmentation

Subject Terms: Neurology, Medical Image Segmentation Techniques, Computer Vision and Pattern Recognition, Intracerebral and Subarachnoid Hemorrhage Research, Brain Tumor Detection and Classification

Access URL: https://publications.polymtl.ca/69063/

Brain Tumor Detection & Classification into Different Categories using Deep Learning Model

Authors: Tambe, Utkarsh Yashwant, Shanthini, A.

Source: 2023 International Conference on Advanced Computing Technologies and Applications (ICACTA) Advanced Computing Technologies and Applications (ICACTA), 2023 International Conference on. :1-7 Oct, 2023

Relation: 2023 International Conference on Advanced Computing Technologies and Applications (ICACTA)

EPISeg: Automatic Segmentation of Spinal Cord fMRI Data

Authors: Rohan Banerjee, Merve Kaptan, Alexandra Tinnermann, Ali Khatibi, Alice Dabbagh, Christian Buechel, Christian Kündig, Christine Law, Dario Pfyffer, David Lythgoe, Dimitra Tsivaka, Dimitri Van De Ville, Falk Eippert, Fauziyya Muhammad, Gary Glover, Gergely David, Grace Haynes, Jan Haaker, Jonathan Brooks, Julien Doyon, Jürgen Finsterbusch, Katherine Martucci, Kimberly Hemmerling, Mahdi Mobarak-Abadi, Mark Hoggarth, Matthew Howard, Molly Bright, Nawal Kinany, Olivia Kowalczyk, Ovidiu Lungu, Patrick Freund, Rangaprakash Deshpande, Robert Barry, Sean Mackey, Shahabeddin Vahdat, Simon Schading, Sonia Medina, Stephen McMahon, Steven Williams, Todd Parrish, Véronique Marchand-Pauvert, Yasin Dhaher, Yufen Chen, Zachary Smith, Kenneth Weber, Benjamin De Leener, Julien Cohen-Adad

Source: ISMRM Annual Meeting.

Subject Terms: Neurology, Cognitive Neuroscience, EEG and Brain-Computer Interfaces, Biomedical Engineering, Medical Imaging and Analysis, Brain Tumor Detection and Classification

Access URL: https://publications.polymtl.ca/68666/
https://doi.org/10.58530/2025/0961

Minimum sample size to detect spinal cord atrophy with automatic soft segmentation

Authors: Sandrine Bédard, Enamundram Karthik, Jan Valošek, Julien Cohen-Adad

Source: ISMRM Annual Meeting.

Subject Terms: Neurology, Biomedical Engineering, Medical Imaging and Analysis, Brain Tumor Detection and Classification

Access URL: https://publications.polymtl.ca/68728/
https://doi.org/10.58530/2025/1625

TransCeption: Enhancing medical image segmentation with an inception-like transformer design for efficient feature fusion

Authors: Reza Azad, Yiwei Jia, Ehsan Khodapanah Aghdam, Julien Cohen-Adad, Dorit Merhof

Source: Computational Visual Media. :1-17

Subject Terms: Neurology, Brain Tumor Detection and Classification

Access URL: https://publications.polymtl.ca/66624/
https://doi.org/10.26599/cvm.2025.9450407

A Resource-Efficient Algorithm–Hardware Co-Design Toward Semi-Supervised Neurological Symptoms Prediction

Authors: Shiqi Zhao, Shanjin Li, Di Wu, Fengshi Tian, Jie Yang, Mohamad Sawan

Source: IEEE Transactions on Instrumentation and Measurement. 74:1-12

Subject Terms: Neurology, Cognitive Neuroscience, EEG and Brain-Computer Interfaces, Brain Tumor Detection and Classification

Prompt learning with bounding box constraints for medical image segmentation

Authors: Gaillochet, Mélanie, Noori, Mehrdad, Dastani, Sahar, Desrosiers, Christian, Lombaert, Hervé

Source: IEEE Transactions on Biomedical Engineering. :1-10

Subject Terms: FOS: Computer and information sciences, Neurology, Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Medical Image Segmentation Techniques, AI in cancer detection, Computer Vision and Pattern Recognition, Brain Tumor Detection and Classification

Access URL: http://arxiv.org/abs/2507.02743
https://publications.polymtl.ca/66305/
https://doi.org/10.1109/tbme.2025.3582749

HybMED: A Hybrid Neural Network Training Processor With Multi-Sparsity Exploitation for Internet of Medical Things

Authors: Shiqi Zhao, Chuanqing Wang, Chaoming Fang, Fengshi Tian, Jie Yang, Mohamad Sawan

Source: IEEE Transactions on Biomedical Circuits and Systems. 18:1178-1189

Subject Terms: Hybrid neural network, Internet of Things, On-chip learning, Signal Processing, Computer-Assisted, Reconfigurable design, Brain Tumor Detection and Classification, Direct feedback alignment, Energy efficiency, Neurology, Artificial Intelligence, Task analysis, Sparsity exploitation, Feature extraction, Training, Humans, Neural signal processing, Neural Networks, Computer, Biological neural networks, Biomedical monitoring, System-on-chip

Access URL: https://pubmed.ncbi.nlm.nih.gov/38630572
https://publications.polymtl.ca/65418/
https://doi.org/10.1109/tbcas.2024.3389875

Accelerating BPTT-Based SNN Training with Sparsity-Aware and Pipelined Architecture

Authors: Chaoming Fang, Fengshi Tian, Jie Yang, Mohamad Sawan

Source: 2024 IEEE International Symposium on Circuits and Systems (ISCAS). :1-5

Subject Terms: Neurology, IoT and Edge/Fog Computing, Computer Networks and Communications, Control and Systems Engineering, Brain Tumor Detection and Classification, Robotics and Automated Systems

Access URL: https://publications.polymtl.ca/65422/
https://doi.org/10.1109/iscas58744.2024.10558101

EPISeg: Automated segmentation of the spinal cord on echo planar images using open-access multi-center data

Authors: Rohan Banerjee, Merve Kaptan, Alexandra Tinnermann, Ali Khatibi, Alice Dabbagh, Christian Büchel, Christian W. Kündig, Christine S.W. Law, Dario Pfyffer, David J. Lythgoe, Dimitra Tsivaka, Dimitri Van De Ville, Falk Eippert, Fauziyya Muhammad, Gary H. Glover, Gergely David, Grace Haynes, Jan Haaker, Jonathan C. W. Brooks, Jürgen Finsterbusch, Katherine T. Martucci, Kimberly J. Hemmerling, Mahdi Mobarak-Abadi, Mark A. Hoggarth, Matthew A. Howard, Molly G. Bright, Nawal Kinany, Olivia S. Kowalczyk, Patrick Freund, Robert L. Barry, Sean Mackey, Shahabeddin Vahdat, Simon Schading, Stephen B. McMahon, Todd Parish, Véronique Marchand-Pauvert, Yufen Chen, Zachary A. Smith, Kenneth A. Weber, Benjamin De Leener, Julien Cohen-Adad

Source: bioRxiv
Banerjee, R, Kaptan, M, Tinnermann, A, Khatibi Tabatabaei, A, Dabbagh, A, Büchel, C, Kündig, C W, Law, C S W, Pfyffer, D, Lythgoe, D J, Tsivaka, D, Ville, D V D, Eippert, F, Muhammad, F, Glover, G H, David, G, Haynes, G, Haaker, J, Brooks, J C W, Finsterbusch, J, Martucci, K T, Hemmerling, K J, Mobarak-Abadi, M, Hoggarth, M A, Howard, M A, Bright, M G, Kinany, N, Kowalczyk, O S, Freund, P, Barry, R L, Mackey, S, Vahdat, S, Schading, S, McMahon, S B, Parish, T, Marchand-Pauvert, V, Chen, Y, Smith, Z A, Kenneth A. Weber, II, Leener, B D & Cohen-Adad, J 2025, 'EPISeg : Automated segmentation of the spinal cord on echo planar images using open-access multi-center data', Imaging Neuroscience, vol. 3, IMAG.a.98. https://doi.org/10.1162/IMAG.a.98
Banerjee, R, Kaptan, M, Tinnermann, A, Khatibi, A, Dabbagh, A, Büchel, C, Kündig, C W, Law, C S W, Pfyffer, D, Lythgoe, D J, Tsivaka, D, Van De Ville, D, Eippert, F, Muhammad, F, Glover, G H, David, G, Haynes, G, Haaker, J, Brooks, J C W, Finsterbusch, J, Martucci, K T, Hemmerling, K J, Mobarak-Abadi, M, Hoggarth, M A, Howard, M A, Bright, M G, Kinany, N, Kowalczyk, O S, Freund, P, Barry, R L, Mackey, S, Vahdat, S, Schading, S, McMahon, S B, Parish, T, Marchand-Pauvert, V, Chen, Y, Smith, Z A, Weber Ii, K A, De Leener, B & Cohen-Adad, J 2025, 'EPISeg : Automated segmentation of the spinal cord on echo planar images using open-access multi-center data', Imaging Neuroscience, vol. 3, IMAG.a.98. https://doi.org/10.1162/IMAG.a.98

Subject Terms: Neurology, segmentation, Biomedical Engineering, Medical Imaging and Analysis, spinal cord, name=Medicine (miscellaneous), echo planar imaging, name=Clinical Neurology, Brain Tumor Detection and Classification, functional magnetic resonance imaging, name=Neuroscience (miscellaneous), name=Radiology Nuclear Medicine and imaging, Article

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/39829895
https://purehost.bath.ac.uk/ws/files/369945475/imag.a.98.pdf
https://publications.polymtl.ca/66593/
https://doi.org/10.1162/imag.a.98
https://kclpure.kcl.ac.uk/portal/en/publications/23ada762-c45f-48a5-9119-647aac3a3499

Automatic segmentation of spinal cord lesions in MS: A robust tool for axial T2-weighted MRI scans

Authors: Enamundram Naga Karthik, Julian McGinnis, Ricarda Wurm, Sebastian Ruehling, Robert Graf, Jan Valosek, Pierre-Louis Benveniste, Markus Lauerer, Jason Talbott, Rohit Bakshi, Shahamat Tauhid, Timothy Shepherd, Achim Berthele, Claus Zimmer, Bernhard Hemmer, Daniel Rueckert, Benedikt Wiestler, Jan S. Kirschke, Julien Cohen-Adad, Mark Mühlau

Source: Imaging Neuroscience

Subject Terms: Neurology, Nuclear Medicine and Imaging, Biomedical Engineering, Medical Imaging and Analysis, Advanced MRI Techniques and Applications, Radiology, Brain Tumor Detection and Classification

Access URL: https://publications.polymtl.ca/65924/
https://doi.org/10.1162/imag.a.45

Automatic spinal cord segmentation: Generalization across MR parameters, sites, vendors and pathologies

Authors: Sandrine Bedard, Naga Enamundram, Merve Kaptan, Falk Eippert, Nawal Kinany, Ilaria Ricchi, Dimitri Van De Ville, Patrick Freund, Markus Hupp, Lisa Lee, Anthony Traboulsee, Roger Tam, Alexandre Prat, Zachary Vavasour, Shannon Kolind, Jiwon Oh, Christoph Aigner, Julien Cohen-Adad

Source: ISMRM Annual Meeting.

Subject Terms: Neurology, Nuclear Medicine and Imaging, Radiomics and Machine Learning in Medical Imaging, Biomedical Engineering, Medical Imaging and Analysis, Radiology, Brain Tumor Detection and Classification

Access URL: https://publications.polymtl.ca/65114/
https://doi.org/10.58530/2024/1026

A hybrid deep CNN-Cov-19-Res-Net Transfer learning architype for an enhanced Brain tumor Detection and Classification scheme in medical image processing

Authors: Ananda Kumar, K.S. ^a, Prasad, A.Y. ^{b, ⁎}, Metan, J. ^c

Source: In Biomedical Signal Processing and Control July 2022 76

Progress and trends in neurological disorders research based on deep learning

Authors: Muhammad Shahid, Iqbal, Md, Belal Bin Heyat, Saba, Parveen, Mohd, Ammar Bin Hayat, Mohamad, Roshanzamir, Roohallah, Alizadehsani, Faijan, Akhtar, Eram, Sayeed, Sadiq, Hussain, Hany S, Hussein, Mohamad, Sawan

Source: Computerized Medical Imaging and Graphics. 116:102400

Subject Terms: Deep Learning, Complementary and alternative medicine, Neurology, Traditional Chinese Medicine Studies, Artificial Intelligence, Humans, Neuroimaging, Nervous System Diseases, Brain Tumor Detection and Classification, Machine Learning in Healthcare

Access URL: https://pubmed.ncbi.nlm.nih.gov/38851079
https://publications.polymtl.ca/65401/
https://doi.org/10.1016/j.compmedimag.2024.102400

Handcrafted Deep-Feature-Based Brain Tumor Detection and Classification Using MRI Images

Authors: Prakash Mohan, Sathishkumar Veerappampalayam Easwaramoorthy, Neelakandan Subramani, Malliga Subramanian, Sangeetha Meckanzi

Source: Electronics, Vol 11, Iss 4178, p 4178 (2022)

Subject Terms: deep-learning-based brain tumor detection and classification model, chicken swarm optimization, Residual Network (ResNet), Electronics, TK7800-8360

Relation: https://www.mdpi.com/2079-9292/11/24/4178; https://doaj.org/toc/2079-9292; https://doaj.org/article/00cb528396cc4dd59e175b90af6c086a

Availability: https://doi.org/10.3390/electronics11244178
https://doaj.org/article/00cb528396cc4dd59e175b90af6c086a

A NOVEL APPROACH FOR BRAIN TUMOUR DETECTION AND MULTI‐CLASSIFICATION USING ADVANCED DEEP LEARNING TECHNIQUES

Authors: Dr. P. Ramesh, Dr. Ramesh Nuthakki, Dr. Surjeet, Dr. Vijay More, Dr. Ch Madhava Rao, Dr. Pallavi Deshpande

Subject Terms: Brain Tumor Detection, Multi-Classification, Deep Learning, Convolutional Neural Networks, Transfer Learning, Hybrid Models, Medical Imaging, Precision Medicine, Clinical Applications, Automated Diagnosis, 3. Good health