Saved in:
| Main Authors: | Menges, Daniel, Rasheed, Adil |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2403.19721 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Impact of Data Duplication on Deep Neural Network-Based Image Classifiers: Robust vs. Standard Models
by: Aghabagherloo, Alireza, et al.
Published: (2025)
by: Aghabagherloo, Alireza, et al.
Published: (2025)
UniCrop: A Universal, Multi-Source Data Engineering Pipeline for Scalable Crop Yield Prediction
by: Khidirova, Emiliya, et al.
Published: (2026)
by: Khidirova, Emiliya, et al.
Published: (2026)
An Explainable Deep Learning-Based Method For Schizophrenia Diagnosis Using Generative Data-Augmentation
by: Saadatinia, Mehrshad, et al.
Published: (2023)
by: Saadatinia, Mehrshad, et al.
Published: (2023)
Data-Efficient Psychiatric Disorder Detection via Self-supervised Learning on Frequency-enhanced Brain Networks
by: Liu, Mujie, et al.
Published: (2025)
by: Liu, Mujie, et al.
Published: (2025)
Mathematical Computation on High-dimensional Data via Array Programming and Parallel Acceleration
by: Zhang, Chen
Published: (2025)
by: Zhang, Chen
Published: (2025)
Research on Feature Extraction Data Processing System For MRI of Brain Diseases Based on Computer Deep Learning
by: Xiao, Lingxi, et al.
Published: (2024)
by: Xiao, Lingxi, et al.
Published: (2024)
Overtone: Cyclic Patch Modulation for Clean, Efficient, and Flexible Physics Emulators
by: Mukhopadhyay, Payel, et al.
Published: (2025)
by: Mukhopadhyay, Payel, et al.
Published: (2025)
A Spatiotemporal Radar-Based Precipitation Model for Water Level Prediction and Flood Forecasting
by: Dhankhar, Sakshi, et al.
Published: (2025)
by: Dhankhar, Sakshi, et al.
Published: (2025)
Dynamic Semantic Compression for CNN Inference in Multi-access Edge Computing: A Graph Reinforcement Learning-based Autoencoder
by: Li, Nan, et al.
Published: (2024)
by: Li, Nan, et al.
Published: (2024)
Hamming Attention Distillation: Binarizing Keys and Queries for Efficient Long-Context Transformers
by: Horton, Mark, et al.
Published: (2025)
by: Horton, Mark, et al.
Published: (2025)
Left Atrial Segmentation with nnU-Net Using MRI
by: Hosseinabadi, Fatemeh, et al.
Published: (2025)
by: Hosseinabadi, Fatemeh, et al.
Published: (2025)
ECHO: Efficient Chest X-ray Report Generation with One-step Block Diffusion
by: Chen, Lifeng, et al.
Published: (2026)
by: Chen, Lifeng, et al.
Published: (2026)
DE-CGAN: Boosting rTMS Treatment Prediction with Diversity Enhancing Conditional Generative Adversarial Networks
by: Squires, Matthew, et al.
Published: (2024)
by: Squires, Matthew, et al.
Published: (2024)
Detecting Concept Drift in Neural Networks Using Chi-squared Goodness of Fit Testing
by: Ayers, Jacob Glenn, et al.
Published: (2025)
by: Ayers, Jacob Glenn, et al.
Published: (2025)
SurgeryLSTM: A Time-Aware Neural Model for Accurate and Explainable Length of Stay Prediction After Spine Surgery
by: Cho, Ha Na, et al.
Published: (2025)
by: Cho, Ha Na, et al.
Published: (2025)
Out-of-Distribution Detection and Data Drift Monitoring using Statistical Process Control
by: Zamzmi, Ghada, et al.
Published: (2024)
by: Zamzmi, Ghada, et al.
Published: (2024)
CIMGEN: Controlled Image Manipulation by Finetuning Pretrained Generative Models on Limited Data
by: Gudavalli, Chandrakanth, et al.
Published: (2024)
by: Gudavalli, Chandrakanth, et al.
Published: (2024)
Generating Realistic X-ray Scattering Images Using Stable Diffusion and Human-in-the-loop Annotations
by: Zhao, Zhuowen, et al.
Published: (2024)
by: Zhao, Zhuowen, et al.
Published: (2024)
Hierarchical Autoencoder-based Lossy Compression for Large-scale High-resolution Scientific Data
by: Le, Hieu, et al.
Published: (2023)
by: Le, Hieu, et al.
Published: (2023)
Towards Spatially-Lucid AI Classification in Non-Euclidean Space: An Application for MxIF Oncology Data
by: Farhadloo, Majid, et al.
Published: (2024)
by: Farhadloo, Majid, et al.
Published: (2024)
Large-Scale Model Enabled Semantic Communication Based on Robust Knowledge Distillation
by: Ding, Kuiyuan, et al.
Published: (2025)
by: Ding, Kuiyuan, et al.
Published: (2025)
Deep Active Learning for Lung Disease Severity Classification from Chest X-rays: Learning with Less Data in the Presence of Class Imbalance
by: Gabriel, Roy M., et al.
Published: (2025)
by: Gabriel, Roy M., et al.
Published: (2025)
On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction
by: Han, Tianyu, et al.
Published: (2024)
by: Han, Tianyu, et al.
Published: (2024)
Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs
by: Durso-Finley, Joshua, et al.
Published: (2024)
by: Durso-Finley, Joshua, et al.
Published: (2024)
Subspace Implicit Neural Representations for Real-Time Cardiac Cine MR Imaging
by: Huang, Wenqi, et al.
Published: (2024)
by: Huang, Wenqi, et al.
Published: (2024)
Fully Differentiable dMRI Streamline Propagation in PyTorch
by: Yoon, Jongyeon, et al.
Published: (2025)
by: Yoon, Jongyeon, et al.
Published: (2025)
AI-Based Detection of Temporal Changes in MR-Linac Images Acquired During Routine Prostate Radiotherapy
by: Park, Seungbin, et al.
Published: (2026)
by: Park, Seungbin, et al.
Published: (2026)
NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping
by: Li, Yamin, et al.
Published: (2024)
by: Li, Yamin, et al.
Published: (2024)
Efficient Sequential Neural Network with Spatial-Temporal Attention and Linear LSTM for Robust Lane Detection Using Multi-Frame Images
by: Patil, Sandeep, et al.
Published: (2026)
by: Patil, Sandeep, et al.
Published: (2026)
CIM-NET: A Video Denoising Deep Neural Network Model Optimized for Computing-in-Memory Architectures
by: Gao, Shan, et al.
Published: (2025)
by: Gao, Shan, et al.
Published: (2025)
Deep Evidential Learning for Radiotherapy Dose Prediction
by: Tan, Hai Siong, et al.
Published: (2024)
by: Tan, Hai Siong, et al.
Published: (2024)
Semantic Successive Refinement: A Generative AI-aided Semantic Communication Framework
by: Zhang, Kexin, et al.
Published: (2024)
by: Zhang, Kexin, et al.
Published: (2024)
Improving Cancer Imaging Diagnosis with Bayesian Networks and Deep Learning: A Bayesian Deep Learning Approach
by: Xi, Pei, et al.
Published: (2024)
by: Xi, Pei, et al.
Published: (2024)
Concept-based Explainable Malignancy Scoring on Pulmonary Nodules in CT Images
by: Dumaev, Rinat I., et al.
Published: (2024)
by: Dumaev, Rinat I., et al.
Published: (2024)
DeepHQ: Learned Hierarchical Quantizer for Progressive Deep Image Coding
by: Lee, Jooyoung, et al.
Published: (2024)
by: Lee, Jooyoung, et al.
Published: (2024)
Automatic 8-tissue Segmentation for 6-month Infant Brains
by: Dong, Yilan, et al.
Published: (2024)
by: Dong, Yilan, et al.
Published: (2024)
LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration
by: Wang, Dingrong, et al.
Published: (2024)
by: Wang, Dingrong, et al.
Published: (2024)
LaMI-GO: Latent Mixture Integration for Goal-Oriented Communications Achieving High Spectrum Efficiency
by: Wijesinghe, Achintha, et al.
Published: (2024)
by: Wijesinghe, Achintha, et al.
Published: (2024)
Deep Dive into MRI: Exploring Deep Learning Applications in 0.55T and 7T MRI
by: Alves, Ana Carolina, et al.
Published: (2024)
by: Alves, Ana Carolina, et al.
Published: (2024)
Machine Learning and Transformers for Thyroid Carcinoma Diagnosis: A Review
by: Habchi, Yassine, et al.
Published: (2024)
by: Habchi, Yassine, et al.
Published: (2024)
Similar Items
-
Impact of Data Duplication on Deep Neural Network-Based Image Classifiers: Robust vs. Standard Models
by: Aghabagherloo, Alireza, et al.
Published: (2025) -
UniCrop: A Universal, Multi-Source Data Engineering Pipeline for Scalable Crop Yield Prediction
by: Khidirova, Emiliya, et al.
Published: (2026) -
An Explainable Deep Learning-Based Method For Schizophrenia Diagnosis Using Generative Data-Augmentation
by: Saadatinia, Mehrshad, et al.
Published: (2023) -
Data-Efficient Psychiatric Disorder Detection via Self-supervised Learning on Frequency-enhanced Brain Networks
by: Liu, Mujie, et al.
Published: (2025) -
Mathematical Computation on High-dimensional Data via Array Programming and Parallel Acceleration
by: Zhang, Chen
Published: (2025)