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Daniel Truhn

Compute-Efficient Medical Image Classification with Softmax-Free Transformers and Sequence Normalization

Jun 03, 2024
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MRSegmentator: Robust Multi-Modality Segmentation of 40 Classes in MRI and CT Sequences

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May 10, 2024
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Autonomous Artificial Intelligence Agents for Clinical Decision Making in Oncology

Apr 06, 2024
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In-context learning enables multimodal large language models to classify cancer pathology images

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Mar 12, 2024
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Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology

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Mar 06, 2024
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An Ordinal Regression Framework for a Deep Learning Based Severity Assessment for Chest Radiographs

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Feb 08, 2024
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LongHealth: A Question Answering Benchmark with Long Clinical Documents

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Jan 25, 2024
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From Whole-slide Image to Biomarker Prediction: A Protocol for End-to-End Deep Learning in Computational Pathology

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Dec 18, 2023
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A Good Feature Extractor Is All You Need for Weakly Supervised Learning in Histopathology

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Nov 29, 2023
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From Text to Image: Exploring GPT-4Vision's Potential in Advanced Radiological Analysis across Subspecialties

Nov 24, 2023
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