3D CNNs

CNN: Convolutional Neural Network

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3 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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NeuroTS-Net: Multi-Class Semantic Segmentation of Pediatric Brain Tumors in Multi-Modal MRI
Sep 15, 2026Darius Peteleaza, Razvan-Gabriel Dumitru, Bogdan Neamtu +3BraTS 3D CNNs
Lucian Blaga University of Sibiu, Sibiu, Romania · University of Arizona, Tucson, AZ, USA · Pediatric Clinical Hospital of Sibiu, Sibiu, Romania +2
Parallel Training Using a CNN-DNN Architecture for Accelerated Development of Diagnostic Models
Sep 14, 2026Janine Weber-Hamacher, Astha Jaiswal, Philipp Fervers +8Neural Network Optimization Medical Image Classification
Department of Mathematics and Computer Science, University of Cologne, Cologne, Germany · Center for Data and Simulation Science, University of Cologne, Germany · Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany +5
Label-Guided Knowledge Distillation for 3D-CNNs in Action Recognition
Sep 14, 2026Yanjiang Shi, Peng Zhao, Nan Qi +1Video Understanding Human Activity Recognition
School of Computer Science and Technology, and with the National Engineering Laboratory for Big Data Analytics (NEL-BDA), Xi’an Jiaotong University, Xi’an 710049, China
Extending TotalSegmentator: Predicting Patient and Acquisition Characteristics from CT and MR Images
Aug 29, 2026Jakob Wasserthal, Joshy Cyriac, Michael Bach +7Magnetic Resonance Imaging 3D CNNs
Clinic of Radiology and Nuclear Medicine, University Hospital Basel, Basel, Switzerland · Antimicrobial Resistance Research Center, Institute of Immunology and Infectious Diseases, Iran University of Medical Sciences, Tehran, Iran · Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran +7
Equipment-centric workpiece localization in near real-time using deep learning-based vision and event-driven finite state machines
Aug 6, 2026Dohyeon Kong, Jaebong Cho, Hyunbo Cho3D CNNs
Department of Industrial and Management Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea
STS-NET: Spatio-Temporal Stress Network for Self-Supervised Crop Stress Detection using Satellite Image Time Series
Jul 21, 2026Pradeep Dalal, Rajiv Ranjan, Sushil Ghildiyal +2Agricultural Remote Sensing Self-Supervised Time Series Representation Learning
Department of Computer Science and Engineering, Indian Institute of Technology Ropar, Rupnagar 140001, India · Department of Robotics and Autonomous Systems, Plaksha University, Mohali 140306, India
Bayesian 3D Steerable CNNs: Enabling Equivariance and Uncertainty Quantification Simultaneously
Jun 13, 2026Abhishek Keripale, Ponkrshnan Thiagarajan, Susanta GhoshBayesian Neural Networks Uncertainty Quantification
Department of Mechanical and Aerospace Engineering, Michigan Technological University, Houghton, MI 49931 · Hopkins Extreme Materials Institute, Johns Hopkins University, Baltimore, MD 21218 · The Center for Artificial Intelligence at the Institute of Computing and Cybersystems, Michigan Technological University, USA
Hybrid Robustness Verification for Spatio-Temporal Neural Networks
Jun 8, 2026Sherwin Varghese, Matthew Wicker, Alessio LomuscioNeural Network Verification Neural Network Robustness
Imperial College London, United Kingdom
When is 3D Worth It? A Resource-Performance Frontier for CNNs and Transformers in Lung CT
Jun 5, 2026Md Enamul Hoq, Sharafat Hossain, Imraul Emmaka +4Vision Transformer 3D Medical Imaging
Department of Biomedical Informatics, University of Arkansas for Medical Sciences · Department of Information Science, University of Arkansas at Little Rock · Department of Neuroscience, University of Arkansas for Medical Sciences
Online Hand Gesture Recognition Using 3D Convolutional Neural Networks
May 22, 2026Yinghao Qin, Tijana TimotijevicGesture Recognition 3D CNNs
School of Electronic Engineering and Computer Science Queen Mary, University of London London, UK
Deepfake Detection in Social Media: A Temporal Artifact Analysis Using 3D Convolutional Neural Networks
May 17, 2026Mohammadreza Rashidi, Raja Hashim Ali, Sami Ur RahmanDeepfake Detection 3D CNNs
Department of Computer Science AI and Media Analysis Lab Berlin, Germany
Adaptive 3D Convolution for Remote Sensing Image Fusion
May 10, 2026Siran Peng, Xiangyu Zhu, Shang-Qi Deng +2Remote Sensing Hyperspectral Imaging
State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing 100190, China · School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS), Beijing 100049, China · State Key Laboratory of Human-Machine Hybrid Augmented Intelligence, and Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an 710049, No.28 Xianning West Road, China +2
DALight-3D: A Lightweight 3D U-Net for Brain Tumor Segmentation from Multi-Modal MRI
May 6, 2026Nand Kumar Mishra, Dhruv Mishra, Dr Manu Pratap SinghInteractive Medical Image Segmentation Image Segmentation
Department of Computer Science, Dr. Bhimrao Ambedkar University, Agra, India. · Department of Computer Science and Engineering, Shiv Nadar University, Greater Noida, India.
Differentiable Jitter Correction using Deep Learning-based Image Quality Metric for Phase-Contrast Micro-CT
Date pendingJunan Chen, Yiting Jia, Joscha Maier +6Image Reconstruction 3D CNNs
ImFusion GmbH, Ridlerstr. 57, 80339 Munich, Germany. · Research Group Biomedical Imaging Physics, Department of Physics, TUM School of Natural Sciences and Munich Institute of Biomedical Engineering, Technical University of Munich, James-Franck-Str. 1, 85748 Garching, Germany. · Centre for X-Ray and Nano Science CXNS, Deutsches Elektronen-Synchrotron (DESY), Notkestr. 85, 22067 Hamburg, Germany. +1

Sep 15, 2026, cs.CVJ/K move · Enter open · S save

NeuroTS-Net: Multi-Class Semantic Segmentation of Pediatric Brain Tumors in Multi-Modal MRI

Darius Peteleaza, Razvan-Gabriel Dumitru, Bogdan Neamtu, Arpad Gellert+2

Lucian Blaga University of Sibiu, Sibiu, Romania · University of Arizona, Tucson, AZ, USA · Pediatric Clinical Hospital of Sibiu, Sibiu, Romania+2

BraTS 3D CNNs Medical Image Segmentation 3D Medical Image Segmentation Brain Tumor Segmentation

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Pediatric brain tumors are a leading cause of cancer-related mortality in children, and their small, rare, and often low-contrast subregions make accurate manual delineation challenging. Reliable automated segmentation is therefore needed to support diagnosis, treatment planning, and response assessment. Accordingly, we introduce NeuroTS-Net, a three-dimensional encoder-decoder convolutional neural network architecture for multi-class semantic segmentation that incorporates a dual-scale raw-detail stream, adaptive low-resolution context selection, and detail-preserving multipath downsampling. These components preserve fine intensity and boundary information while efficiently modeling broader tumor context. NeuroTS-Net was trained on the BraTS 2026 pediatric dataset without external data or pretrained weights and evaluated against nnU-Net and MedNeXt under the same experimental protocol. NeuroTS-Net outperformed the baseline methods, achieving whole-tumor and tumor-core Dice scores of 0.938 and 0.937 on the internal validation set and 0.927 and 0.926 on the official challenge validation set. The code is open-sourced at: https://github.com/maenstru56/NeuroTS.

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