Работы, цитирующие эту работу

Работ: 5

Работа: Dynamic Focus on Tumor Boundaries: A Lightweight U-Net for MRI Brain Tumor Segmentation

1. Accessible AI Diagnostics and Lightweight Brain Tumor Detection on Medical Edge Devices

   Akmalbek Abdusalomov, Sanjar Mirzakhalilov, Sabina Umirzakova +4

   СтатьяBrain Tumor Detection and ClassificationBioengineering2025Цитирований: 7

   ABIABI:AkademIndex/openalex/2025.article.000084

2. From Anatomy to Genomics Using a Multi-Task Deep Learning Approach for Comprehensive Glioma Profiling

   Akmalbek Abdusalomov, Sabina Umirzakova, Obidjon Bekmirzaev +6

   СтатьяGlioma Diagnosis and TreatmentBioengineering2025Цитирований: 4

   ABIABI:AkademIndex/openalex/2025.article.000658

3. Breaking New Ground in Monocular Depth Estimation with Dynamic Iterative Refinement and Scale Consistency

   Akmalbek Abdusalomov, Sabina Umirzakova, Makhkamov Bakhtiyor Shukhratovich +2

   СтатьяAdvanced Vision and ImagingApplied Sciences2025Цитирований: 3

   ABIABI:AkademIndex/openalex/2025.article.000664

4. Bridging the Gap Between Accuracy and Efficiency in AI-Based Breast Cancer Diagnosis from Histopathological Data

   Kuldashbay Avazov, Sabina Umirzakova, Akmalbek Abdusalomov +6

   СтатьяAI in cancer detectionCancers2025Цитирований: 2

   ABIABI:AkademIndex/openalex/2026.other.335878

5. Real-Time Object Detector for Medical Diagnostics (RTMDet): A High-Performance Deep Learning Model for Brain Tumor Diagnosis

   Sanjar Bakhtiyorov, Sabina Umirzakova, Musabek Musaev +2

   СтатьяBrain Tumor Detection and ClassificationBioengineering2025Цитирований: 1

   ABIABI:AkademIndex/openalex/2025.article.000590