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Translational Research for Better Diagnosis and Treatment of Endometrial Cancer
Endometrial cancer (EC) is the most frequent gynecological malignancy in the developed world. Optimal treatment of EC depends on early diagnosis and pre-operative stratification to appropriately select the extent of surgery and to plan further therapeutic approaches. Currently, endometrial histology is the gold standard for diagnosis, as there are no valid non-invasive methods available, and patient stratification is based on histopathology and surgical findings.
Machine Learning for Medical Image Reconstruction
This book constitutes the refereed proceedings of the 4th International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2021, held in conjunction with MICCAI 2021, in October 2021. The workshop was planned to take place in Strasbourg, France, but was held virtually due to the COVID-19 pandemic. The 13 papers presented were carefully reviewed and selected from 20 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging and deep learning for general image reconstruction.
Domain Adaptation and Representation Transfer
This book constitutes the refereed proceedings of the 5th MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2023, which was held in conjunction with MICCAI 2023, in October 2023. The 16 full papers presented in this book were carefully reviewed and selected from 32 submissions. They discuss methodological advancements and ideas that can improve the applicability of machine learning (ML)/deep learning (DL) approaches to clinical setting by making them robust and consistent across different domains.
Computational Intelligence Methods for Bioinformatics and Biostatistics
This book constitutes revised selected papers from the 17th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2021, which was held virtually during November 15–17, 2021. The 19 papers included in these proceedings were carefully reviewed and selected from 26 submissions, and they focus on bioinformatics, computational biology, health informatics, cheminformatics, biotechnology, biostatistics, and biomedical imaging.
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
This two-volume set LNCS 12962 and 12963 constitutes the thoroughly refereed proceedings of the 7th International MICCAI Brainlesion Workshop, BrainLes 2021, as well as the RSNA-ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge, the Federated Tumor Segmentation (FeTS) Challenge, the Cross-Modality Domain Adaptation (CrossMoDA) Challenge, and the challenge on Quantification of Uncertainties in Biomedical Image Quantification (QUBIQ). These were held jointly at the 23rd Medical Image Computing for Computer Assisted Intervention Conference, MICCAI 2020, in September 2021. The 91 revised papers presented in these volumes were selected form 151 submissions. Due to COVID-19 pandemic the conference was held virtually.
A Laboratory of Transnational History
A first attempt to present an approach to Ukrainian history which goes beyond the standard 'national narrative' schemes, predominant in the majority of post-Soviet countries after 1991, in the years of implementing 'nation-building projects'. An unrivalled collection of essays by the finest scholars in the field from Ukraine, Russia, USA, Germany, Austria and Canada, superbly written to a high academic standard. The various chapters are methodologically innovative and thought-provoking. The biggest Eastern European country has ancient roots but also the birth pangs of a new autonomous state. Its historiography is characterized by animated debates, in which this book takes a definite stance. The history of Ukraine is not written here as a linear, teleological narrative of ethnic Ukrainians but as a multicultural, multidimensional history of a diversity of cultures, religious denominations, languages, ethical norms, and historical experience. It is not presented as causal explanation of 'what has to have happened' but rather as conjunctures and contingencies, disruptions, and episodes of 'lack of history.'
Machine Learning for Medical Image Reconstruction
This book constitutes the refereed proceedings of the 4th International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2021, held in conjunction with MICCAI 2021, in October 2021. The workshop was planned to take place in Strasbourg, France, but was held virtually due to the COVID-19 pandemic. The 13 papers presented were carefully reviewed and selected from 20 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging and deep learning for general image reconstruction.
The Ukrainian Question
This pioneering work treats the Ukrainian question in Russian imperial policy and its importance for the intelligentsia of the empire. Miller sets the Russian Empire in the context of modernizing and occasionally nationalizing great power states and discusses the process of incorporating the Ukraine, better known as "Little Russia" in that time, into the Romanov Empire in the late 18th and 19th centuries. This territorial expansion evolved into a competition of mutually exclusive concepts of Russian and Ukrainian nation-building projects.
The Shoah in Ukraine
On the eve of the Nazi invasion of the USSR in 1941, Ukraine was home to the largest Jewish community in Europe. Between 1941 and 1944, some 1.4 million Jews were killed there, and one of the most important centers of Jewish life was destroyed. Yet, little is known about this chapter of Holocaust history. Drawing on archival sources from the former Soviet Union and bringing together researchers from Ukraine, Germany, Great Britain, the Netherlands, and the United States, The Shoah in Ukraine sheds light on the critical themes of perpetration, collaboration, Jewish-Ukrainian relations, testimony, rescue, and Holocaust remembrance in Ukraine. Contributors are Andrej Angrick, Omer Bartov, Karel C. Berkhoff, Ray Brandon, Martin Dean, Dennis Deletant, Frank Golczewski, Alexander Kruglov, Wendy Lower, Dieter Pohl, and Timothy Snyder.
